From c5053309f6615c96e0ae0fc9a8e6ac81f55b226c Mon Sep 17 00:00:00 2001
From: Sherjeel Shabih <shabihsherjeel@gmail.com>
Date: Thu, 22 Feb 2024 15:07:30 +0100
Subject: [PATCH 01/58] Adds a required flag to dataconverter

---
 pynxtools/dataconverter/convert.py | 10 ++++++++++
 1 file changed, 10 insertions(+)

diff --git a/pynxtools/dataconverter/convert.py b/pynxtools/dataconverter/convert.py
index eba3d85c3..b8790949d 100644
--- a/pynxtools/dataconverter/convert.py
+++ b/pynxtools/dataconverter/convert.py
@@ -218,6 +218,7 @@ def convert(
     fair: bool = False,
     undocumented: bool = False,
     skip_verify: bool = False,
+    required: bool = False,
     **kwargs,
 ):
     """The conversion routine that takes the input parameters and calls the necessary functions.
@@ -251,6 +252,8 @@ def convert(
     if generate_template:
         template = Template()
         helpers.generate_template_from_nxdl(nxdl_root, template)
+        if required:
+            template = Template(template.get_optionality("required"))
         print(template)
         return
 
@@ -354,6 +357,11 @@ def parse_params_file(params_file):
     "--mapping",
     help="Takes a <name>.mapping.json file and converts data from given input files.",
 )
+@click.option(
+    "--required",
+    help="Use this flag to with --generate-template to only get the required template.",
+    is_flag=True,
+)
 # pylint: disable=too-many-arguments
 def convert_cli(
     files: Tuple[str, ...],
@@ -367,6 +375,7 @@ def convert_cli(
     undocumented: bool,
     skip_verify: bool,
     mapping: str,
+    required: bool,
 ):
     """The CLI entrypoint for the convert function"""
     if params_file:
@@ -413,4 +422,5 @@ def convert_cli(
         fair,
         undocumented,
         skip_verify,
+        required,
     )

From aa11952be815b0b1911ac49a8bc46d472b432c06 Mon Sep 17 00:00:00 2001
From: Sherjeel Shabih <shabihsherjeel@gmail.com>
Date: Fri, 1 Mar 2024 15:06:12 +0100
Subject: [PATCH 02/58] Adds generate-template subcommand and makes convert the
 default subcommand

---
 dev-requirements.txt                | 12 ++---
 pynxtools/dataconverter/convert.py  | 70 ++++++++++++++++++++++-------
 pyproject.toml                      |  3 +-
 tests/dataconverter/test_convert.py |  8 ++--
 4 files changed, 62 insertions(+), 31 deletions(-)

diff --git a/dev-requirements.txt b/dev-requirements.txt
index e37a7b443..0660f7611 100644
--- a/dev-requirements.txt
+++ b/dev-requirements.txt
@@ -4,10 +4,6 @@
 #
 #    pip-compile --extra=dev --extra=docs --output-file=dev-requirements.txt pyproject.toml
 #
-appnope==0.1.3
-    # via
-    #   ipykernel
-    #   ipython
 asciitree==0.3.3
     # via zarr
 ase==3.22.1
@@ -40,10 +36,13 @@ charset-normalizer==3.3.2
     # via requests
 click==8.1.7
     # via
+    #   click-default-group
     #   dask
     #   mkdocs
     #   pip-tools
     #   pynxtools (pyproject.toml)
+click-default-group==1.2.4
+    # via pynxtools (pyproject.toml)
 cloudpickle==3.0.0
     # via dask
 colorama==0.4.6
@@ -53,16 +52,13 @@ comm==0.2.0
 contourpy==1.1.1
     # via matplotlib
 coverage[toml]==7.3.2
-    # via
-    #   coverage
-    #   pytest-cov
+    # via pytest-cov
 cycler==0.12.1
     # via matplotlib
 cython==3.0.6
     # via tables
 dask[array]==2023.5.0
     # via
-    #   dask
     #   hyperspy
     #   kikuchipy
     #   orix
diff --git a/pynxtools/dataconverter/convert.py b/pynxtools/dataconverter/convert.py
index b8790949d..82356ba0d 100644
--- a/pynxtools/dataconverter/convert.py
+++ b/pynxtools/dataconverter/convert.py
@@ -20,6 +20,7 @@
 import importlib.machinery
 import importlib.util
 import logging
+from gettext import gettext
 import os
 import sys
 import xml.etree.ElementTree as ET
@@ -27,6 +28,7 @@
 from typing import List, Optional, Tuple
 
 import click
+from click_default_group import DefaultGroup
 import yaml
 
 from pynxtools.dataconverter import helpers
@@ -214,7 +216,6 @@ def convert(
     reader: str,
     nxdl: str,
     output: str,
-    generate_template: bool = False,
     fair: bool = False,
     undocumented: bool = False,
     skip_verify: bool = False,
@@ -249,13 +250,6 @@ def convert(
     """
 
     nxdl_root, nxdl_f_path = get_nxdl_root_and_path(nxdl)
-    if generate_template:
-        template = Template()
-        helpers.generate_template_from_nxdl(nxdl_root, template)
-        if required:
-            template = Template(template.get_optionality("required"))
-        print(template)
-        return
 
     data = transfer_data_into_template(
         input_file=input_file,
@@ -293,7 +287,33 @@ def parse_params_file(params_file):
     return params
 
 
-@click.command()
+class CustomClickGroup(DefaultGroup):
+    def format_options(
+        self, ctx: click.Context, formatter: click.HelpFormatter
+    ) -> None:
+        """Writes all the options into the formatter if they exist."""
+        opts = []
+        for param in self.get_params(ctx) + ctx.command.commands["convert"].params:
+            rv = param.get_help_record(ctx)
+            if rv is not None:
+                opts.append(rv)
+
+        if opts:
+            with formatter.section(gettext("Options")):
+                formatter.write_dl(opts)
+        self.format_commands(ctx, formatter)
+        with formatter.section(gettext("Info")):
+            formatter.write_text(
+                "You can see more options by using --help for specific commands. For example: dataconverter generate-template --help"
+            )
+
+
+@click.group(cls=CustomClickGroup, default="convert", default_if_no_args=True)
+def main_cli():
+    pass
+
+
+@main_cli.command("convert")
 @click.argument("files", nargs=-1, type=click.Path(exists=True))
 @click.option(
     "--input-file",
@@ -357,11 +377,7 @@ def parse_params_file(params_file):
     "--mapping",
     help="Takes a <name>.mapping.json file and converts data from given input files.",
 )
-@click.option(
-    "--required",
-    help="Use this flag to with --generate-template to only get the required template.",
-    is_flag=True,
-)
+
 # pylint: disable=too-many-arguments
 def convert_cli(
     files: Tuple[str, ...],
@@ -375,9 +391,9 @@ def convert_cli(
     undocumented: bool,
     skip_verify: bool,
     mapping: str,
-    required: bool,
 ):
-    """The CLI entrypoint for the convert function"""
+    """This command allows you to use the converter functionality of the dataconverter."""
+    logger.addHandler(logging.StreamHandler())
     if params_file:
         try:
             convert(**parse_params_file(params_file))
@@ -418,9 +434,29 @@ def convert_cli(
         reader,
         nxdl,
         output,
-        generate_template,
         fair,
         undocumented,
         skip_verify,
         required,
     )
+
+
+@main_cli.command()
+@click.option(
+    "--nxdl",
+    default=None,
+    help=("The name of the NXDL file to use without extension. For example: NXmpes"),
+)
+@click.option(
+    "--required",
+    help="Use this flag to only get the required template.",
+    is_flag=True,
+)
+def generate_template(nxdl: str, required: bool):
+    "Generates and prints a template to use for your nxdl."
+    nxdl_root, nxdl_f_path = get_nxdl_root_and_path(nxdl)
+    template = Template()
+    helpers.generate_template_from_nxdl(nxdl_root, template)
+    if required:
+        template = Template(template.get_optionality("required"))
+    print(template)
diff --git a/pyproject.toml b/pyproject.toml
index 2e7029b37..cf6888d36 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -24,6 +24,7 @@ classifiers = [
 ]
 dependencies = [
     "click>=7.1.2",
+    "click_default_group",
     "h5py>=3.6.0",
     "xarray>=0.20.2",
     "PyYAML>=6.0",
@@ -84,7 +85,7 @@ stm = [
 
 [project.scripts]
 read_nexus = "pynxtools.nexus.nexus:main"
-dataconverter = "pynxtools.dataconverter.convert:convert_cli"
+dataconverter = "pynxtools.dataconverter.convert:main_cli"
 generate_eln = "pynxtools.eln_mapper.eln_mapper:get_eln"
 
 [tool.setuptools.package-data]
diff --git a/tests/dataconverter/test_convert.py b/tests/dataconverter/test_convert.py
index 0d7cec49f..af86b4542 100644
--- a/tests/dataconverter/test_convert.py
+++ b/tests/dataconverter/test_convert.py
@@ -104,9 +104,7 @@ def test_get_names_of_all_readers():
 @pytest.mark.parametrize(
     "cli_inputs",
     [
-        pytest.param(
-            ["--nxdl", "NXtest", "--generate-template"], id="generate-template"
-        ),
+        pytest.param(["generate-template", "--nxdl", "NXtest"], id="generate-template"),
         pytest.param([], id="nxdl-not-provided"),
         pytest.param(
             ["--nxdl", "NXtest", "--input-file", "test_input"], id="input-file"
@@ -116,8 +114,8 @@ def test_get_names_of_all_readers():
 def test_cli(caplog, cli_inputs):
     """A test for the convert CLI."""
     runner = CliRunner()
-    result = runner.invoke(dataconverter.convert_cli, cli_inputs)
-    if "--generate-template" in cli_inputs:
+    result = runner.invoke(dataconverter.main_cli, cli_inputs)
+    if "generate-template" in cli_inputs:
         assert result.exit_code == 0
         assert '"/ENTRY[entry]/NXODD_name/int_value": "None",' in result.stdout
     elif "--input-file" in cli_inputs:

From 202933d4f569438b320787bff4e3fadbaaaf0538 Mon Sep 17 00:00:00 2001
From: Sherjeel Shabih <shabihsherjeel@gmail.com>
Date: Fri, 1 Mar 2024 15:17:54 +0100
Subject: [PATCH 03/58] Adds exception for mypy

---
 pynxtools/dataconverter/convert.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pynxtools/dataconverter/convert.py b/pynxtools/dataconverter/convert.py
index 82356ba0d..bc0d4b785 100644
--- a/pynxtools/dataconverter/convert.py
+++ b/pynxtools/dataconverter/convert.py
@@ -293,7 +293,7 @@ def format_options(
     ) -> None:
         """Writes all the options into the formatter if they exist."""
         opts = []
-        for param in self.get_params(ctx) + ctx.command.commands["convert"].params:
+        for param in self.get_params(ctx) + ctx.command.commands["convert"].params:  # type: ignore
             rv = param.get_help_record(ctx)
             if rv is not None:
                 opts.append(rv)

From 16e884088a912e46668374d86c040c60dfaa7401 Mon Sep 17 00:00:00 2001
From: Sherjeel Shabih <shabihsherjeel@gmail.com>
Date: Fri, 1 Mar 2024 16:45:31 +0100
Subject: [PATCH 04/58] Removes --generate-template from convert_cli and makes
 --nxdl required in generate-template

---
 pynxtools/dataconverter/convert.py | 8 +-------
 1 file changed, 1 insertion(+), 7 deletions(-)

diff --git a/pynxtools/dataconverter/convert.py b/pynxtools/dataconverter/convert.py
index bc0d4b785..be9dd4adb 100644
--- a/pynxtools/dataconverter/convert.py
+++ b/pynxtools/dataconverter/convert.py
@@ -343,12 +343,6 @@ def main_cli():
     default="output.nxs",
     help="The path to the output NeXus file to be generated.",
 )
-@click.option(
-    "--generate-template",
-    is_flag=True,
-    default=False,
-    help="Just print out the template generated from given NXDL file.",
-)
 @click.option(
     "--fair",
     is_flag=True,
@@ -385,7 +379,6 @@ def convert_cli(
     reader: str,
     nxdl: str,
     output: str,
-    generate_template: bool,
     fair: bool,
     params_file: str,
     undocumented: bool,
@@ -446,6 +439,7 @@ def convert_cli(
     "--nxdl",
     default=None,
     help=("The name of the NXDL file to use without extension. For example: NXmpes"),
+    required=True,
 )
 @click.option(
     "--required",

From 9eaa8ab2c0365fada2676c897aefed0e4cdf8abe Mon Sep 17 00:00:00 2001
From: Sherjeel Shabih <shabihsherjeel@gmail.com>
Date: Mon, 4 Mar 2024 12:10:17 +0100
Subject: [PATCH 05/58] Adds a --json flag to generate-template subcommand

---
 pynxtools/dataconverter/convert.py | 21 ++++++++++++++++++++-
 1 file changed, 20 insertions(+), 1 deletion(-)

diff --git a/pynxtools/dataconverter/convert.py b/pynxtools/dataconverter/convert.py
index be9dd4adb..fd2aab276 100644
--- a/pynxtools/dataconverter/convert.py
+++ b/pynxtools/dataconverter/convert.py
@@ -26,6 +26,7 @@
 import xml.etree.ElementTree as ET
 from pathlib import Path
 from typing import List, Optional, Tuple
+import json
 
 import click
 from click_default_group import DefaultGroup
@@ -446,11 +447,29 @@ def convert_cli(
     help="Use this flag to only get the required template.",
     is_flag=True,
 )
-def generate_template(nxdl: str, required: bool):
+@click.option(
+    "--json",
+    "to_json",
+    help="Prints valid JSON instead of of a Pythonic str",
+    is_flag=True,
+)
+def generate_template(nxdl: str, required: bool, to_json: bool):
     "Generates and prints a template to use for your nxdl."
     nxdl_root, nxdl_f_path = get_nxdl_root_and_path(nxdl)
     template = Template()
     helpers.generate_template_from_nxdl(nxdl_root, template)
+
     if required:
         template = Template(template.get_optionality("required"))
+
+    if to_json:
+        print(
+            json.dumps(
+                template.get_accumulated_dict(),
+                indent=4,
+                sort_keys=True,
+                ensure_ascii=False,
+            )
+        )
+        return
     print(template)

From 3106aa62dc887d4665efb89cfe6fb0fb22e084f8 Mon Sep 17 00:00:00 2001
From: Sherjeel Shabih <shabihsherjeel@gmail.com>
Date: Tue, 12 Mar 2024 10:11:46 +0100
Subject: [PATCH 06/58] Makes json output as default for generate template and
 adds an output file flag

---
 pynxtools/dataconverter/convert.py  | 40 +++++++++++++++++++----------
 tests/dataconverter/test_convert.py |  2 +-
 2 files changed, 27 insertions(+), 15 deletions(-)

diff --git a/pynxtools/dataconverter/convert.py b/pynxtools/dataconverter/convert.py
index fd2aab276..bcbb239ed 100644
--- a/pynxtools/dataconverter/convert.py
+++ b/pynxtools/dataconverter/convert.py
@@ -448,13 +448,18 @@ def convert_cli(
     is_flag=True,
 )
 @click.option(
-    "--json",
-    "to_json",
-    help="Prints valid JSON instead of of a Pythonic str",
+    "--pythonic",
+    help="Prints a valid Python dictionary instead of JSON",
     is_flag=True,
 )
-def generate_template(nxdl: str, required: bool, to_json: bool):
+@click.option(
+    "--output",
+    help="Writes the output into the filepath provided.",
+    type=click.Path(),
+)
+def generate_template(nxdl: str, required: bool, pythonic: bool, output: str):
     "Generates and prints a template to use for your nxdl."
+    print_or_write = print
     nxdl_root, nxdl_f_path = get_nxdl_root_and_path(nxdl)
     template = Template()
     helpers.generate_template_from_nxdl(nxdl_root, template)
@@ -462,14 +467,21 @@ def generate_template(nxdl: str, required: bool, to_json: bool):
     if required:
         template = Template(template.get_optionality("required"))
 
-    if to_json:
-        print(
-            json.dumps(
-                template.get_accumulated_dict(),
-                indent=4,
-                sort_keys=True,
-                ensure_ascii=False,
-            )
-        )
+    if output:
+
+        def print_or_write(text: str):
+            f = open(output, "w")
+            f.write(text)
+            f.close()
+
+    if pythonic:
+        print_or_write(str(template))
         return
-    print(template)
+    print_or_write(
+        json.dumps(
+            template.get_accumulated_dict(),
+            indent=4,
+            sort_keys=True,
+            ensure_ascii=False,
+        )
+    )
diff --git a/tests/dataconverter/test_convert.py b/tests/dataconverter/test_convert.py
index af86b4542..1974856da 100644
--- a/tests/dataconverter/test_convert.py
+++ b/tests/dataconverter/test_convert.py
@@ -117,7 +117,7 @@ def test_cli(caplog, cli_inputs):
     result = runner.invoke(dataconverter.main_cli, cli_inputs)
     if "generate-template" in cli_inputs:
         assert result.exit_code == 0
-        assert '"/ENTRY[entry]/NXODD_name/int_value": "None",' in result.stdout
+        assert '"/ENTRY[entry]/NXODD_name/int_value": null,' in result.stdout
     elif "--input-file" in cli_inputs:
         assert "test_input" in caplog.text
     elif result.exit_code == 2:

From 78515d622e40c730d1b893f04531c51cc5a9ccc9 Mon Sep 17 00:00:00 2001
From: Sherjeel Shabih <shabihsherjeel@gmail.com>
Date: Tue, 12 Mar 2024 10:24:15 +0100
Subject: [PATCH 07/58] Resolves merge conflicts

---
 pynxtools/dataconverter/convert.py | 1 -
 1 file changed, 1 deletion(-)

diff --git a/pynxtools/dataconverter/convert.py b/pynxtools/dataconverter/convert.py
index bcbb239ed..bed44b6d7 100644
--- a/pynxtools/dataconverter/convert.py
+++ b/pynxtools/dataconverter/convert.py
@@ -431,7 +431,6 @@ def convert_cli(
         fair,
         undocumented,
         skip_verify,
-        required,
     )
 
 

From e23494b3b7c311d6d9aced8b31cf88205eacbfcf Mon Sep 17 00:00:00 2001
From: Sherjeel Shabih <shabihsherjeel@gmail.com>
Date: Tue, 12 Mar 2024 11:04:44 +0100
Subject: [PATCH 08/58] Fixes mypy issue with redefinition

---
 pynxtools/dataconverter/convert.py | 16 ++++++++--------
 1 file changed, 8 insertions(+), 8 deletions(-)

diff --git a/pynxtools/dataconverter/convert.py b/pynxtools/dataconverter/convert.py
index bed44b6d7..b7077a7cc 100644
--- a/pynxtools/dataconverter/convert.py
+++ b/pynxtools/dataconverter/convert.py
@@ -458,7 +458,14 @@ def convert_cli(
 )
 def generate_template(nxdl: str, required: bool, pythonic: bool, output: str):
     "Generates and prints a template to use for your nxdl."
-    print_or_write = print
+
+    def write_to_file(text):
+        f = open(output, "w")
+        f.write(text)
+        f.close()
+
+    print_or_write = lambda txt: write_to_file(txt) if output else print(txt)
+
     nxdl_root, nxdl_f_path = get_nxdl_root_and_path(nxdl)
     template = Template()
     helpers.generate_template_from_nxdl(nxdl_root, template)
@@ -466,13 +473,6 @@ def generate_template(nxdl: str, required: bool, pythonic: bool, output: str):
     if required:
         template = Template(template.get_optionality("required"))
 
-    if output:
-
-        def print_or_write(text: str):
-            f = open(output, "w")
-            f.write(text)
-            f.close()
-
     if pythonic:
         print_or_write(str(template))
         return

From 46347ec467448745de64c2d9dddb49db6caac9f2 Mon Sep 17 00:00:00 2001
From: Lukas Pielsticker <50139597+lukaspie@users.noreply.github.com>
Date: Tue, 12 Mar 2024 14:46:07 +0100
Subject: [PATCH 09/58] fix nexus conversion tutorial and its links

---
 docs/tutorial/converting-data-to-nexus.md | 24 ++++++++++++-----------
 1 file changed, 13 insertions(+), 11 deletions(-)

diff --git a/docs/tutorial/converting-data-to-nexus.md b/docs/tutorial/converting-data-to-nexus.md
index 08104bac2..8bc158987 100644
--- a/docs/tutorial/converting-data-to-nexus.md
+++ b/docs/tutorial/converting-data-to-nexus.md
@@ -21,20 +21,20 @@ You will have
 
 ## Setup
 
-We use a Python tool to make converting our research data easier. This has a number of [readers](https://github.com/FAIRmat-NFDI/pynxtools/tree/master/pynxtools/dataconverter/readers) that support multiple file formats. You can browse the separate folders to find the reader that might work for you. A generic reader is the [JSON Map Reader](https://github.com/FAIRmat-NFDI/pynxtools/tree/master/pynxtools/dataconverter/readers/json_map).
+We use a Python tool to make converting our research data easier. This has a number of [readers](https://github.com/FAIRmat-NFDI/pynxtools/tree/master/pynxtools/dataconverter/readers) that support multiple file formats. You can browse the separate folders to find the reader that might work for you. A generic reader is the [JSON Map Reader](https://github.com/FAIRmat-NFDI/pynxtools/tree/master/pynxtools/dataconverter/readers/json_map). In addition, we provide multiple [reader plugins](https://github.com/FAIRmat-NFDI/pynxtools/tree/master?tab=readme-ov-file#plugins) for different experimental techniques.
 
-We will use the [XPS Reader](https://github.com/FAIRmat-NFDI/pynxtools/tree/master/pynxtools/dataconverter/readers/xps) with a [SpecsLabProdigy](https://www.specs-group.com/nc/specs/products/detail/prodigy/) file (.sle) as an example.
+We will use the [XPS reader plugin](https://github.com/FAIRmat-NFDI/pynxtools-xps) with a [SpecsLabProdigy](https://www.specs-group.com/nc/specs/products/detail/prodigy/) file (file extension: .sle) as an example.
 
 #### Steps
 
-1. Download the example files from here: [Example files](https://download-directory.github.io/?url=https://github.com/FAIRmat-NFDI/pynxtools/tree/master/examples/xps)
+1. Download the example files from here: [Example files](https://download-directory.github.io/?url=https://github.com/FAIRmat-NFDI/pynxtools-xps/tree/main/examples/sle)
 2. **Extract** the zip and copy the files in your current working directory. You can find the working directory by typing the following in your terminal:
 ```console
 pwd
 ```
-3. Install [pynxtools](https://github.com/FAIRmat-NFDI/pynxtools/tree/master?tab=readme-ov-file#installation)
+3. Install [pynxtools](https://github.com/FAIRmat-NFDI/pynxtools/tree/master?tab=readme-ov-file#installation) with the [XPS reader plugin](https://github.com/FAIRmat-NFDI/pynxtools-xps):
 ```console
-pip install git+https://github.com/FAIRmat-NFDI/pynxtools.git
+pip install pynxtools[xps]
 ```
 4. Verify you can run the ```dataconverter``` in a terminal window. Open a terminal with the Python environment where you installed ```pynxtools```. Then type the following:
 ```console
@@ -43,21 +43,23 @@ dataconverter --help
 
 ## Converting the example files
 
-Once you have your files copied into the working directory. Your directory structure should look like this:
+Once you have your files copied into the working directory, your directory structure should look like this:
 ```
 ├── README.md
 ├── EX439_S718_Au.sle
-├── params.yaml
-└── eln_data_sle.yaml
+├── eln_data_sle.yaml
+└── params.yaml
 ```
 
+The ```eln_data_sle.yaml``` YAML file is another data file containing additional information (e.g., information about the experimentator) that is not provided in the main data file.
+
 Next, you will run the conversion routine from your Python environment:
 ```console
 dataconverter --params-file params.yaml
 ```
 
-Here we use a params.yaml parameter file to configure the converter. You can try out [other examples from pynxtools](https://github.com/FAIRmat-NFDI/pynxtools/tree/documentation/examples)
-
-This will create a file called ```Au_25_mbar_O2_no_align.nxs``` in your current directory.
+Here we use a ```params.yaml``` parameter file to configure the converter.  This will create a file called ```Au_25_mbar_O2_no_align.nxs``` in your current directory.
 
 **Congrats! You now have a FAIR NeXus file!**
+
+You can try out [other examples from pynxtools](https://github.com/FAIRmat-NFDI/pynxtools/tree/documentation/examples).

From 4176b2a4ed4748c371e02dca6360e398077d7c8f Mon Sep 17 00:00:00 2001
From: Lukas Pielsticker <50139597+lukaspie@users.noreply.github.com>
Date: Tue, 12 Mar 2024 15:09:07 +0100
Subject: [PATCH 10/58] fix link to other examples

---
 docs/tutorial/converting-data-to-nexus.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/tutorial/converting-data-to-nexus.md b/docs/tutorial/converting-data-to-nexus.md
index 8bc158987..cbe9c2813 100644
--- a/docs/tutorial/converting-data-to-nexus.md
+++ b/docs/tutorial/converting-data-to-nexus.md
@@ -62,4 +62,4 @@ Here we use a ```params.yaml``` parameter file to configure the converter.  This
 
 **Congrats! You now have a FAIR NeXus file!**
 
-You can try out [other examples from pynxtools](https://github.com/FAIRmat-NFDI/pynxtools/tree/documentation/examples).
+You can try out [other examples from pynxtools](https://github.com/FAIRmat-NFDI/pynxtools/tree/master/examples).

From c5b273e60d2099a8fa0bfac5820695baa318d4fb Mon Sep 17 00:00:00 2001
From: Lukas Pielsticker <50139597+lukaspie@users.noreply.github.com>
Date: Tue, 12 Mar 2024 16:18:16 +0100
Subject: [PATCH 11/58] update dataconverter readme

---
 pynxtools/dataconverter/README.md | 52 +++++++++++++++++++------------
 1 file changed, 32 insertions(+), 20 deletions(-)

diff --git a/pynxtools/dataconverter/README.md b/pynxtools/dataconverter/README.md
index 4755e1c1a..b0fc096b3 100644
--- a/pynxtools/dataconverter/README.md
+++ b/pynxtools/dataconverter/README.md
@@ -1,48 +1,58 @@
 # Dataconverter
 
-This tool contains a set of [readers](readers/) to convert supported data files into a compliant NeXus file.
+This tool converts experimental data to NeXus/HDF5 files based on any provided [NXDL schemas](https://manual.nexusformat.org/nxdl.html#index-1).
+It contains a set of [readers](readers/) to convert supported data files into a compliant NeXus file.
 
-You can read specific Readme's of the readers and find usage examples [here](../../examples/).
+You can read specific README's of the readers and find usage examples [here](../../examples/).
 
 ## Installation
 
 ```console
-user@box:~$ pip install git+https://github.com/FAIRmat-NFDI/pynxtools.git
+user@box:~$ pip install pynxtools
 ```
 
 ## Usage
 
-Converts experimental data to NeXus/HDF5 files based on any provided NXDL.
+### Commands
+- **convert**: This is the top-level command that allows you to use the converter. It can be called directly with ```dataconverter```.
+- **generate-template**: This command generates a reader template dictionary for a given NXDL file. It can be called with ```dataconverter generate-template```.
 
 ```console
 user@box:~$ dataconverter --help
-Usage: dataconverter [OPTIONS] [FILES]...
-
-  The CLI entrypoint for the convert function
+Usage: dataconverter [OPTIONS] COMMAND [ARGS]...
 
 Options:
+  --help                          Show this message and exit.
   --input-file TEXT               Deprecated: Please use the positional file
                                   arguments instead. The path to the input
                                   data file to read. (Repeat for more than one
                                   file.)
-  --reader [apm|ellips|em_nion|em_om|em_spctrscpy|example|hall|json_map|json_yml|rii_database|transmission|xps|xrd|mpes]
+  --reader [apm|ellips|em_nion|em_om|em_spctrscpy|example|hall|json_map|json_yml|mpes|sts|transmission|xps|xrd]
                                   The reader to use. default="example"
   --nxdl TEXT                     The name of the NXDL file to use without
                                   extension.This option is required if no '--
                                   params-file' is supplied.
   --output TEXT                   The path to the output NeXus file to be
                                   generated.
-  --generate-template             Just print out the template generated from
-                                  given NXDL file.
   --fair                          Let the converter know to be stricter in
                                   checking the documentation.
   --params-file FILENAME          Allows to pass a .yaml file with all the
                                   parameters the converter supports.
   --undocumented                  Shows a log output for all undocumented
                                   fields
+  --skip-verify                   Skips the verification routine during
+                                  conversion.
   --mapping TEXT                  Takes a <name>.mapping.json file and
                                   converts data from given input files.
-  --help                          Show this message and exit.
+
+Commands:
+  convert*           This command allows you to use the converter...
+  generate-template  Generates and prints a template to use for your nxdl.
+
+Info:
+  You can see more options by using --help for specific commands. For example:
+  dataconverter generate-template --help
+
 ```
 
 #### Merge partial NeXus files into one
@@ -57,7 +67,7 @@ user@box:~$ dataconverter --nxdl nxdl partial1.nxs partial2.nxs
 user@box:~$ dataconverter --nxdl nxdl any_data.hdf5 --mapping my_custom_map.mapping.json
 ```
 
-#### You can find actual examples with data files at [`examples/json_map`](../../examples/json_map/).
+You can find actual examples with data files at [`examples/json_map`](../../examples/json_map/).
 
 
 #### Use with multiple input files
@@ -69,10 +79,9 @@ user@box:~$ dataconverter --nxdl nxdl metadata data.raw otherfile
 ## Writing a Reader
 
 This converter allows extending support to other data formats by allowing extensions called readers.
-The converter provides a dev platform to build a NeXus compatible reader by providing checking
-against a chosen NeXus Application Definition.
+The converter provides a dev platform to build a NeXus compatible reader by providing checking against a chosen NeXus Application Definition.
 
-Readers have to be placed in the **readers** folder in there own subfolder.
+Readers have to be placed in the **readers** folder in their own subfolder.
 The reader folder should be named with the reader's name and contain a `reader.py`.\
 For example: The reader `Example Reader` is placed under [`readers/example/reader.py`](readers/example/reader.py).
 
@@ -111,17 +120,15 @@ READER = MyDataReader
 
 ```
 
-The read function takes a template dictionary based on the provided NXDL file (similar to `--generate-template`)
-and the list of all the file paths the user provides with `--input`.
+The read function takes a template dictionary based on the provided NXDL file (similar to `dataconverter generate-template`) and the list of all the file paths the user provides.
 The returned dictionary should contain keys that exist in the template as defined below.
 The values of these keys have to be data objects to be populated in the output NeXus file.
-They can be lists, numpy arrays, numpy bytes, numpy floats, numpy ints. Practically you can pass any value
-that can be handled by the `h5py` package.
+They can be lists, numpy arrays, numpy bytes, numpy floats, numpy ints. Practically you can pass any value that can be handled by the `h5py` package.
 
 The dataconverter can be executed using:
 
 ```console
-user@box:~$ dataconverter --reader mydata --nxdl NXmynxdl --output path_to_output.nxs
+user@box:~$ dataconverter --reader mydatareader --nxdl NXmynxdl --output path_to_output.nxs
 ```
 
 ### The reader template dictionary
@@ -166,4 +173,9 @@ You can also define links by setting the value to sub dictionary object with key
 template["/entry/instrument/source"] = {"link": "/path/to/source/data"}
 ```
 
+For a given NXDL schema, you can generate an empty template with the command
+```console
+user@box:~$ dataconverter generate-template` --nxdl NXmynxdl
+```
+
 <img src="./convert_routine.svg" />

From b93f23e4e6bc34e70d91c1a37128789e1a50871e Mon Sep 17 00:00:00 2001
From: Lukas Pielsticker <50139597+lukaspie@users.noreply.github.com>
Date: Wed, 13 Mar 2024 13:14:16 +0100
Subject: [PATCH 12/58] Update README.md

---
 README.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index 343d54ff7..d499accde 100644
--- a/README.md
+++ b/README.md
@@ -63,9 +63,9 @@ You can install each of the plugins together with `pynxtools` by passing the nam
 pip install pynxtools[mpes]
 ```
 
-In addition, you can also install all of the `pynxtools` plugins which are maintained by FAIRmat by passing the `[all]` extra to the pip install call:
+In addition, you can also install all of the `pynxtools` reader plugins which are maintained by FAIRmat by passing the `[convert]` extra to the pip install call:
 ```shell
-pip install pynxtools[all]
+pip install pynxtools[convert]
 ```
 There is also a [cookiecutter template](https://github.com/FAIRmat-NFDI/pynxtools-plugin-template) available for creating your own pynxtools plugin.
 

From 0e1c4326908752d85f2854cb5ea7cbaaa4ea0f3a Mon Sep 17 00:00:00 2001
From: Lukas Pielsticker <50139597+lukaspie@users.noreply.github.com>
Date: Wed, 13 Mar 2024 13:15:10 +0100
Subject: [PATCH 13/58] Update README.md

---
 pynxtools/dataconverter/README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pynxtools/dataconverter/README.md b/pynxtools/dataconverter/README.md
index b0fc096b3..b307d58d8 100644
--- a/pynxtools/dataconverter/README.md
+++ b/pynxtools/dataconverter/README.md
@@ -8,7 +8,7 @@ You can read specific README's of the readers and find usage examples [here](../
 ## Installation
 
 ```console
-user@box:~$ pip install pynxtools
+user@box:~$ pip install pynxtools[convert]
 ```
 
 ## Usage

From 6156e5ef60c6f2360ecb6a995490b232a0705825 Mon Sep 17 00:00:00 2001
From: Florian Dobener <florian.dobener@physik.hu-berlin.de>
Date: Thu, 14 Mar 2024 09:49:21 +0100
Subject: [PATCH 14/58] Fixes duplicate print (#281)

---
 pynxtools/dataconverter/convert.py | 7 +++----
 1 file changed, 3 insertions(+), 4 deletions(-)

diff --git a/pynxtools/dataconverter/convert.py b/pynxtools/dataconverter/convert.py
index b7077a7cc..c65481afd 100644
--- a/pynxtools/dataconverter/convert.py
+++ b/pynxtools/dataconverter/convert.py
@@ -19,18 +19,18 @@
 import glob
 import importlib.machinery
 import importlib.util
+import json
 import logging
-from gettext import gettext
 import os
 import sys
 import xml.etree.ElementTree as ET
+from gettext import gettext
 from pathlib import Path
 from typing import List, Optional, Tuple
-import json
 
 import click
-from click_default_group import DefaultGroup
 import yaml
+from click_default_group import DefaultGroup
 
 from pynxtools.dataconverter import helpers
 from pynxtools.dataconverter.readers.base.reader import BaseReader
@@ -387,7 +387,6 @@ def convert_cli(
     mapping: str,
 ):
     """This command allows you to use the converter functionality of the dataconverter."""
-    logger.addHandler(logging.StreamHandler())
     if params_file:
         try:
             convert(**parse_params_file(params_file))

From 247ae4507da1d686dcd4dad69eb577f84a13519a Mon Sep 17 00:00:00 2001
From: mkuehbach <markus.kuehbach@physik.hu-berlin.de>
Date: Thu, 14 Mar 2024 16:59:36 +0100
Subject: [PATCH 15/58] Remove apm dataconverter as its functionality are
 superseeded by the pynxtools-apm plugin, implementing a contribution for #283

---
 dev-requirements.txt                          |  65 +-
 examples/README.md                            |   6 +-
 examples/apm/README.md                        |  24 -
 examples/apm/Write.NXapm.Example.1.ipynb      | 554 -------------
 examples/apm/apm.oasis.specific.yaml          |   1 -
 examples/apm/eln_data_apm.yaml                | 118 ---
 pynxtools/dataconverter/readers/apm/README.md | 120 ---
 .../dataconverter/readers/apm/__init__.py     |   3 -
 .../apm_deployment_specifics_to_nx_map.py     |  57 --
 .../apm/map_concepts/apm_eln_to_nx_map.py     | 325 --------
 pynxtools/dataconverter/readers/apm/reader.py | 154 ----
 .../readers/apm/utils/__init__.py             |   0
 .../apm/utils/apm_create_nx_default_plots.py  | 244 ------
 .../readers/apm/utils/apm_define_io_cases.py  | 102 ---
 .../apm/utils/apm_generate_synthetic_data.py  | 646 ---------------
 .../utils/apm_load_deployment_specifics.py    |  64 --
 .../readers/apm/utils/apm_load_generic_eln.py | 198 -----
 .../readers/apm/utils/apm_load_ranging.py     | 297 -------
 .../apm/utils/apm_load_reconstruction.py      | 192 -----
 .../apm/utils/apm_parse_composition_table.py  | 193 -----
 .../readers/apm/utils/apm_versioning.py       |  31 -
 pyproject.toml                                |   1 -
 .../data/dataconverter/readers/apm/README.md  |   2 -
 .../nxapm.schema.archive.yaml                 | 735 ------------------
 24 files changed, 10 insertions(+), 4122 deletions(-)
 delete mode 100644 examples/apm/README.md
 delete mode 100644 examples/apm/Write.NXapm.Example.1.ipynb
 delete mode 100644 examples/apm/apm.oasis.specific.yaml
 delete mode 100644 examples/apm/eln_data_apm.yaml
 delete mode 100644 pynxtools/dataconverter/readers/apm/README.md
 delete mode 100644 pynxtools/dataconverter/readers/apm/__init__.py
 delete mode 100644 pynxtools/dataconverter/readers/apm/map_concepts/apm_deployment_specifics_to_nx_map.py
 delete mode 100644 pynxtools/dataconverter/readers/apm/map_concepts/apm_eln_to_nx_map.py
 delete mode 100644 pynxtools/dataconverter/readers/apm/reader.py
 delete mode 100644 pynxtools/dataconverter/readers/apm/utils/__init__.py
 delete mode 100644 pynxtools/dataconverter/readers/apm/utils/apm_create_nx_default_plots.py
 delete mode 100644 pynxtools/dataconverter/readers/apm/utils/apm_define_io_cases.py
 delete mode 100644 pynxtools/dataconverter/readers/apm/utils/apm_generate_synthetic_data.py
 delete mode 100644 pynxtools/dataconverter/readers/apm/utils/apm_load_deployment_specifics.py
 delete mode 100644 pynxtools/dataconverter/readers/apm/utils/apm_load_generic_eln.py
 delete mode 100644 pynxtools/dataconverter/readers/apm/utils/apm_load_ranging.py
 delete mode 100644 pynxtools/dataconverter/readers/apm/utils/apm_load_reconstruction.py
 delete mode 100644 pynxtools/dataconverter/readers/apm/utils/apm_parse_composition_table.py
 delete mode 100644 pynxtools/dataconverter/readers/apm/utils/apm_versioning.py
 delete mode 100644 tests/data/dataconverter/readers/apm/README.md
 delete mode 100644 tests/data/dataconverter/readers/apm/nomad_oasis_eln_schema_for_nx_apm/nxapm.schema.archive.yaml

diff --git a/dev-requirements.txt b/dev-requirements.txt
index 0660f7611..b101a3ae8 100644
--- a/dev-requirements.txt
+++ b/dev-requirements.txt
@@ -7,27 +7,17 @@
 asciitree==0.3.3
     # via zarr
 ase==3.22.1
-    # via
-    #   ifes-apt-tc-data-modeling
-    #   pynxtools (pyproject.toml)
+    # via pynxtools (pyproject.toml)
 asteval==0.9.31
     # via lmfit
 asttokens==2.4.1
     # via stack-data
-attrs==23.1.0
-    # via
-    #   cattrs
-    #   requests-cache
 babel==2.14.0
     # via mkdocs-material
 backcall==0.2.0
     # via ipython
-blosc2==2.0.0
-    # via tables
 build==1.0.3
     # via pip-tools
-cattrs==23.2.2
-    # via requests-cache
 certifi==2023.11.17
     # via requests
 cfgv==3.4.0
@@ -52,13 +42,14 @@ comm==0.2.0
 contourpy==1.1.1
     # via matplotlib
 coverage[toml]==7.3.2
-    # via pytest-cov
+    # via
+    #   coverage
+    #   pytest-cov
 cycler==0.12.1
     # via matplotlib
-cython==3.0.6
-    # via tables
 dask[array]==2023.5.0
     # via
+    #   dask
     #   hyperspy
     #   kikuchipy
     #   orix
@@ -85,9 +76,7 @@ distlib==0.3.7
 entrypoints==0.4
     # via ipyparallel
 exceptiongroup==1.2.0
-    # via
-    #   cattrs
-    #   pytest
+    # via pytest
 executing==2.0.1
     # via stack-data
 fabio==2023.10.0
@@ -119,7 +108,6 @@ h5py==3.10.0
     #   fabio
     #   hdf5plugin
     #   hyperspy
-    #   ifes-apt-tc-data-modeling
     #   kikuchipy
     #   nionswift
     #   orix
@@ -138,8 +126,6 @@ identify==2.5.33
     # via pre-commit
 idna==3.6
     # via requests
-ifes-apt-tc-data-modeling==0.1
-    # via pynxtools (pyproject.toml)
 imageio==2.27.0
     # via
     #   hyperspy
@@ -186,8 +172,6 @@ kikuchipy==0.9.0
     # via pynxtools (pyproject.toml)
 kiwisolver==1.4.5
     # via matplotlib
-lark==1.1.8
-    # via pynxtools (pyproject.toml)
 lazy-loader==0.3
     # via scikit-image
 llvmlite==0.41.1
@@ -217,7 +201,6 @@ matplotlib==3.7.4
     #   orix
     #   pyfai
     #   pyxem
-    #   radioactivedecay
 matplotlib-inline==0.1.6
     # via
     #   ipykernel
@@ -243,8 +226,6 @@ mkdocs-material-extensions==1.3.1
     #   pynxtools (pyproject.toml)
 mpmath==1.3.0
     # via sympy
-msgpack==1.0.7
-    # via blosc2
 mypy==1.7.1
     # via pynxtools (pyproject.toml)
 mypy-extensions==1.0.0
@@ -254,9 +235,7 @@ natsort==8.4.0
 nest-asyncio==1.5.8
     # via ipykernel
 networkx==3.1
-    # via
-    #   radioactivedecay
-    #   scikit-image
+    # via scikit-image
 niondata==0.15.3
     # via
     #   nionswift
@@ -290,7 +269,6 @@ numexpr==2.8.5
     #   hyperspy
     #   pyfai
     #   pyxem
-    #   tables
 numpy==1.24.4
     # via
     #   ase
@@ -300,7 +278,6 @@ numpy==1.24.4
     #   fabio
     #   h5py
     #   hyperspy
-    #   ifes-apt-tc-data-modeling
     #   imageio
     #   kikuchipy
     #   lmfit
@@ -320,13 +297,11 @@ numpy==1.24.4
     #   pynxtools (pyproject.toml)
     #   pywavelets
     #   pyxem
-    #   radioactivedecay
     #   scikit-image
     #   scikit-learn
     #   scipy
     #   silx
     #   sparse
-    #   tables
     #   tifffile
     #   xarray
     #   zarr
@@ -348,13 +323,11 @@ packaging==23.2
     #   pooch
     #   pytest
     #   scikit-image
-    #   tables
     #   xarray
 paginate==0.5.6
     # via mkdocs-material
 pandas==2.0.3
     # via
-    #   ifes-apt-tc-data-modeling
     #   pynxtools (pyproject.toml)
     #   xarray
 parso==0.8.3
@@ -384,7 +357,6 @@ platformdirs==4.0.0
     #   jupyter-core
     #   mkdocs
     #   pooch
-    #   requests-cache
     #   virtualenv
 pluggy==1.3.0
     # via pytest
@@ -410,8 +382,6 @@ ptyprocess==0.7.0
     # via pexpect
 pure-eval==0.2.2
     # via stack-data
-py-cpuinfo==9.0.0
-    # via tables
 pycifrw==4.4.6
     # via diffpy-structure
 pyfai==2023.9.0
@@ -473,8 +443,6 @@ pyzmq==25.1.1
     #   ipykernel
     #   ipyparallel
     #   jupyter-client
-radioactivedecay==0.4.21
-    # via ifes-apt-tc-data-modeling
 regex==2023.12.25
     # via mkdocs-material
 requests==2.31.0
@@ -482,10 +450,6 @@ requests==2.31.0
     #   hyperspy
     #   mkdocs-material
     #   pooch
-    #   pynxtools (pyproject.toml)
-    #   requests-cache
-requests-cache==1.1.1
-    # via pynxtools (pyproject.toml)
 ruff==0.1.7
     # via pynxtools (pyproject.toml)
 scikit-image==0.20.0
@@ -510,7 +474,6 @@ scipy==1.9.1
     #   pyfai
     #   pynxtools (pyproject.toml)
     #   pyxem
-    #   radioactivedecay
     #   scikit-image
     #   scikit-learn
     #   sparse
@@ -521,7 +484,6 @@ six==1.16.0
     #   asttokens
     #   diffpy-structure
     #   python-dateutil
-    #   url-normalize
 smmap==5.0.1
     # via gitdb
 sparse==0.14.0
@@ -531,11 +493,7 @@ stack-data==0.6.3
 structlog==23.2.0
     # via pynxtools (pyproject.toml)
 sympy==1.12
-    # via
-    #   hyperspy
-    #   radioactivedecay
-tables==3.8.0
-    # via ifes-apt-tc-data-modeling
+    # via hyperspy
 termcolor==2.4.0
     # via mkdocs-macros-plugin
 threadpoolctl==3.2.0
@@ -594,9 +552,7 @@ types-pyyaml==6.0.12.12
 types-requests==2.31.0.10
     # via pynxtools (pyproject.toml)
 typing-extensions==4.8.0
-    # via
-    #   cattrs
-    #   mypy
+    # via mypy
 tzdata==2023.3
     # via
     #   pandas
@@ -607,12 +563,9 @@ tzlocal==4.3
     #   pynxtools (pyproject.toml)
 uncertainties==3.1.7
     # via lmfit
-url-normalize==1.4.3
-    # via requests-cache
 urllib3==2.1.0
     # via
     #   requests
-    #   requests-cache
     #   types-requests
 virtualenv==20.25.0
     # via pre-commit
diff --git a/examples/README.md b/examples/README.md
index a05485e84..3adacdc88 100644
--- a/examples/README.md
+++ b/examples/README.md
@@ -16,7 +16,7 @@ if it is not supported yet. Feel also free to [contact](../README.md#questions-s
 us if you need help.
 
 For giving specific feedback to specific parsers/readers/data extractors please contact the
-respective developers directly:
+respective developers directly and checkout the domain-specific pynxtools plugins:
 
 ### em_om, em_spctrscpy
 Markus Kühbach
@@ -26,7 +26,3 @@ Florian Dobner, Rubel Mozumder, Lukas Pielsticker
 
 ### ellipsometry
 Carola Emminger, Florian Dobner
-
-### apm
-Markus Kühbach
-
diff --git a/examples/apm/README.md b/examples/apm/README.md
deleted file mode 100644
index 0445a94c6..000000000
--- a/examples/apm/README.md
+++ /dev/null
@@ -1,24 +0,0 @@
-## apm reader
-
-This is an example how the apm parser/reader/data extractor can be used as a standalone
-tool to convert data and metadata from different sources into an NXapm-formatted
-NeXus/HDF5 file. Further details to the functionalities of the parser are documented
-in the parsers sub-directory:
-
-```
-pynxtools/pynxtools/dataconverter/readers/apm
-```
-
-**Write.NXapm.Example.1.ipynb** is the Jupyter notebook which exemplies
-how the parser can be used as a standalone version, i.e. without NOMAD.
-
-**eln_data_apm.yaml** is a YAML/text file which contains relevant data which are not
-contained typically in files from technology partners. These data have been collected
-either by editing the file manually or by using an electronic lab notebook (ELN),
-such as the NOMAD ELN.
-A few example files from real atom probe reconstructions and ranging definitions are
-offered as downloads to run the example with the above-mentioned Juypter notebook.
-
-Every other ELN can be used with this parser provided that this ELN writes its data
-into a YAML file with the same keywords and structure as is exemplified in the
-above-mentioned YAML file.
\ No newline at end of file
diff --git a/examples/apm/Write.NXapm.Example.1.ipynb b/examples/apm/Write.NXapm.Example.1.ipynb
deleted file mode 100644
index 8b96f10e4..000000000
--- a/examples/apm/Write.NXapm.Example.1.ipynb
+++ /dev/null
@@ -1,554 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Using dataconverter/apm for mapping atom probe microscopy data to NeXus/HDF5/NXapm"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "### **Step 1:** Check that packages are installed and working in your local Python environment."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Check the result of the query below specifically that `jupyterlab_h5web` and `pynxtools` are installed in your environment.<br>\n",
-    "Note that next to the name pynxtools you should see the directory in which it is installed. Otherwise, make sure that you follow<br>\n",
-    "the instructions in the `README` files:  \n",
-    "- How to set up a development environment as in the main README  \n",
-    "- Lauch the jupyter lab from this environement as in the README of folder `examples`"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "! pip list | grep \"h5py\\|nexus\\|jupyter\" && jupyter serverextension list && jupyter labextension list && python -V"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Set the pynxtools directory and start H5Web for interactive exploring of HDF5 files."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import os\n",
-    "from jupyterlab_h5web import H5Web\n",
-    "print(f\"Current working directory: {os.getcwd()}\")\n",
-    "print(f\"So-called base, home, or root directory of the pynxtools: {os.getcwd().replace('/examples/apm', '')}\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### **Step 2:** Download APM-specific example data or used your own dataset."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "Example data can be found on Zenodo https://www.zenodo.org/record/7908429."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "import zipfile as zp"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "! curl --output usa_denton_smith_apav_si.zip https://zenodo.org/record/7908429/files/usa_denton_smith_apav_si.zip"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "zp.ZipFile(\"usa_denton_smith_apav_si.zip\").extractall(path=\"\", members=None, pwd=None)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "These files should serve exclusively as examples. <font color=\"orange\">The dataconverter for APM always requires a triplet of files</font>:\n",
-    "* A **YAML file with metadata** (either edited manually/or generated via an ELN).<br>\n",
-    "  The eln_data_apm.yaml file in the example can be edited with a text editor.<br>\n",
-    "* A file with **reconstructed ion positions** in community, technology partner format with<br>\n",
-    "  the ion positions and mass-to-charge state ratio values for the tomographic reconstruction.<br>\n",
-    "  POS, ePOS, or APT are allowed. Inspect some of the above-mentioned examples on Zenodo.<br>\n",
-    "* A file with **ranging definitions** in community, technology partner format with<br>\n",
-    "  the definitions how mass-to-charge-state-ratio values map on ion species.<br>\n",
-    "  RNG, RRNG and is possible. A MatLab script can be used to inject other representations<br>\n",
-    "  via transcoding own formats to a simple text file, an example of which is<br>\n",
-    "  R56_01769.rng.fig.txt<br>"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<div class=\"alert alert-block alert-info\">\n",
-    "For GUI-based editing, a NOMAD OASIS instance is needed.<br>\n",
-    "</div>"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<div class=\"alert alert-block alert-danger\">\n",
-    "Please note that the metadata inside the provided eln_data_apm.yaml file contains example values.<br>\n",
-    "These reflect not necessarily the conditions when the raw data for the example were collected!<br>\n",
-    "The file is meant to be edited by you if you work with datasets others than the here provided!<br>\n",
-    "</div>"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "### **Step 3:** Run the APM-specific dataconverter on the example data."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now we run our parser. The --reader flag takes the atom probe microscopy reader (apm), the --nxdl flag takes the application definition for this technique NXapm.<br> "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### **Step 3a:** Optionally see the command line help of the dataconverter."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "! dataconverter --help"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### **Step 3b:** Optionally explore all paths which NXapm provides."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "# to inspect what can/should all be in the NeXus file\n",
-    "! dataconverter --nxdl NXapm --generate-template"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### **Step 3c**: Convert the files in the example into an NXapm-compliant NeXus/HDF5 file."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<div class=\"alert alert-block alert-info\">\n",
-    "The deployment_specific YAML file can be used to simplify a specific ELN, e.g. to avoid having to type<br>\n",
-    "repetitive information. A typical use case is an OASIS in a laboratory where there is a fixed number of<br>\n",
-    "instruments for which many details stay the same, these can be carried over via a *.oasis.specific.yaml file.<br>\n",
-    "It is the responsibility of the OASIS maintainer to document and version these specific configurations.<br>\n",
-    "We would be happy to learn how this functionality is useful and learn about your feedback to improve<br>\n",
-    "this feature to make working with NeXus and ELNs more convenient.<br>\n",
-    "</div>"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "#parser-nexus/tests/data/tools/dataconverter/readers/em_om/\n",
-    "import numpy as np\n",
-    "eln_data_file_name = [\"eln_data_apm.yaml\"]\n",
-    "deployment_specific = [\"apm.oasis.specific.yaml\"]\n",
-    "input_recon_file_name = [\"Si.apt\",\n",
-    "                         \"Si.epos\",\n",
-    "                         \"Si.pos\",\n",
-    "#                         \"R31_06365-v02.pos\",\n",
-    "#                         \"R18_58152-v02.epos\",\n",
-    "#                         \"70_50_50.apt\"]\n",
-    "#                         \"R56_01769-v01.pos\"]\n",
-    "input_range_file_name = [\"Si.RRNG\",\n",
-    "                         \"Si.RNG\",\n",
-    "                         \"Si.RNG\",\n",
-    "#                         \"R31_06365-v02.rrng\",\n",
-    "#                         \"R31_06365-v02.rrng\",\n",
-    "#                         \"R31_06365-v02.rrng\"]\n",
-    "#                         \"R56_01769.rng.fig.txt\"]\n",
-    "output_file_name = [\"apm.case1.nxs\",\n",
-    "                    \"apm.case2.nxs\",\n",
-    "                    \"apm.case3.nxs\",\n",
-    "                    \"apm.case4.nxs\",\n",
-    "                    \"apm.case5.nxs\",\n",
-    "                    \"apm.case6.nxs\"]\n",
-    "for case_id in np.arange(0, 3):\n",
-    "    ELN = eln_data_file_name[0]\n",
-    "    OASIS = deployment_specific[0]\n",
-    "    INPUT_RECON = input_recon_file_name[case_id]\n",
-    "    INPUT_RANGE = input_range_file_name[case_id]\n",
-    "    OUTPUT = output_file_name[case_id]\n",
-    "\n",
-    "    ! dataconverter --reader apm --nxdl NXapm $ELN $OASIS \\\n",
-    "    $INPUT_RECON $INPUT_RANGE --output $OUTPUT"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The key take home message is that the command above-specified triggers the automatic creation of the HDF5 file. This *.nxs file, is an HDF5 file."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "### **Step 4:** Inspect the NeXus/HDF5 file using H5Web."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# H5Web(OUTPUT)\n",
-    "H5Web(\"apm.case3.nxs\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "You can also visualize the .nxs file by double clicking on it in the file explorer panel to the left side of your jupyter lab screen in the browser."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "### **Step 5:** Optionally, do some post-processing with the generated usa_pos.nxs file."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "To compute a mass-to-charge histogram and explore eventual ranging definitions that have also been carried over in the conversion step (step 6)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import numpy as np\n",
-    "import matplotlib.pyplot as plt\n",
-    "from matplotlib.collections import PatchCollection\n",
-    "from matplotlib.patches import Rectangle\n",
-    "plt.rcParams[\"figure.figsize\"] = [20, 10]\n",
-    "plt.rcParams[\"figure.dpi\"] = 300\n",
-    "import h5py as h5\n",
-    "#needs shutils for decompressing zip archives, which is a default module/package in Python since >=v3.6"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Read mass-to-charge-state ratio values, create a histogram (\"mass spectrum\"), and mark ranges."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# load data and ranges e.g. for case1\n",
-    "nxs_file_name = \"apm.case1.nxs\"\n",
-    "hf = h5.File(nxs_file_name, \"r\")\n",
-    "mq = hf[\"entry1/atom_probe/mass_to_charge_conversion/mass_to_charge\"][:]\n",
-    "nions = np.uint32(hf[\"entry1/atom_probe/ranging/number_of_ion_types\"][()])\n",
-    "print(f\"Array with mass-to-charge-state ratios loaded, {nions} iontypes are distinguished\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# define binning\n",
-    "[mqmin, mqmax] = [0., 100.0]  # Da np.max(mq)]\n",
-    "print(f\"Dataset ranging from [ {mqmin}, {mqmax}] Da.\")\n",
-    "mqincr = 0.01  # Da\n",
-    "print(f\"Using a mass-to-charge-state ratio resolution of {mqincr} Da.\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# transform collection of mass-to-charge-state ratios into a histogram\n",
-    "hst1d = np.unique(np.uint64(np.floor((mq[np.logical_and(mq >= mqmin, mq <= mqmax)] - mqmin) / mqincr)), return_counts=True)\n",
-    "nbins = np.uint64((mqmax - mqmin) / mqincr + 1)\n",
-    "print(f\"Histogram has {nbins} bins.\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# use matplotlib and numpy to plot histogram data\n",
-    "xy = np.zeros([nbins, 2], np.float64)\n",
-    "xy[:,0] = np.linspace(mqmin + mqincr, mqmax + mqincr, nbins, endpoint=True)\n",
-    "xy[:,1] = 0.5  # * np.ones([nbins], np.float64)  # 0.5 to be able to plot logarithm you can not measure half an atom\n",
-    "for i in np.arange(0, len(hst1d[0])):\n",
-    "    binidx = hst1d[0][i]\n",
-    "    xy[binidx, 1] = hst1d[1][i]\n",
-    "print(\"Mass-to-charge-state histogram created.\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "[xmi, xmx, ymi, ymx] = [mqmin, 10**np.ceil(np.log10(mqmax)), 0.5, 10**np.ceil(np.log10(np.max(xy[:,1])))]\n",
-    "[xmi, xmx, ymi, ymx] = [mqmin, mqmax, 0.5, 10**np.ceil(np.log10(np.max(xy[:,1])))]\n",
-    "fig, cnts_over_mq = plt.subplots(1, 1)\n",
-    "plt.plot(xy[:, 0], xy[:, 1], color=\"blue\", alpha=0.5, linewidth=1.0)\n",
-    "for i in np.arange(1, nions):\n",
-    "    print(f\"Collect ion{i}...\")\n",
-    "    # load ranges and plot them\n",
-    "    ranges = hf[f\"entry1/atom_probe/ranging/peak_identification/ion{i}/mass_to_charge_range\"][:]\n",
-    "    for min_max in ranges:\n",
-    "        cnts_over_mq.vlines(min_max[0], 0, 1, transform=cnts_over_mq.get_xaxis_transform(), alpha=0.1, color=\"grey\", linestyles=\"dotted\")\n",
-    "        cnts_over_mq.vlines(min_max[1], 0, 1, transform=cnts_over_mq.get_xaxis_transform(), alpha=0.1, color=\"grey\", linestyles=\"dotted\")\n",
-    "        # rng = Rectangle((min_max[0], ymi), min_max[1] - min_max[0], ymx - ymi, edgecolor=\"r\", facecolor=\"none\")\n",
-    "# plt.xticks([1, 2, 3, 4, 5, 6, 7, 8, 9], [\"Min\", \"0.0025\", \"0.025\", \"0.25\", \"0.50\", \"0.75\", \"0.975\", \"0.9975\", \"Max\"])\n",
-    "plt.yscale(\"log\")\n",
-    "plt.legend([r\"Mass-to-charge-state ratio $\\Delta\\frac{m}{q} = $\"+str(mqincr)+\" Da\"], loc=\"upper right\")\n",
-    "plt.xlabel(r\"Mass-to-charge-state-ratio (Da)\")\n",
-    "plt.ylabel(r\"Counts\")\n",
-    "print(\"Mass-to-charge-state histogram visualized.\")\n",
-    "# scale bar with add margin to the bottom and top of the yaxis to avoid that lines fall on x axis\n",
-    "margin=0.01  # polishing the margins\n",
-    "plt.xlim([-margin * (xmx - xmi) + xmi, +margin * (xmx - xmi) + xmx])\n",
-    "plt.ylim([ymi, +margin * (ymx - ymi) + ymx])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# save the figure\n",
-    "figfn = nxs_file_name + \".MassToChargeStateRatio.png\"\n",
-    "fig.savefig(figfn, dpi=300, facecolor=\"w\", edgecolor=\"w\", orientation=\"landscape\", format=\"png\",\n",
-    "            transparent=False, bbox_inches=\"tight\", pad_inches=0.1, metadata=None)\n",
-    "# plt.close(\"all\")\n",
-    "print(f\"{figfn} stored to disk.\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### **Optional:** Generate synthetic data for testing and development purposes"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<div class=\"alert alert-block alert-warning\">\n",
-    "Currently, this functionality requires a Python environment with a newer version of the ase library than the one<br>\n",
-    "which is used by the installation of pynxtools (which is currently ase==3.19.0). Instead, ase>=3.22.1 should be used.<br>\n",
-    "The issue with the specific functionalities used in the *create_reconstructed_positions* function is that when using<br>\n",
-    "ase==3.19.0 in combination with numpy>=1.2x uses the deprecated np.float data type.<br>\n",
-    "Developers interested in creating synthetic data should locally install ase>=3.22.1<br>\n",
-    "and then re-execute this notebook.<br>\n",
-    "</div>"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "! pip list | grep ase*\n",
-    "! pip list | grep numpy*"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The apm reader has a functionality to generate synthetic dataset which are meant for pursuing code development."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<div class=\"alert alert-block alert-warning\">\n",
-    "This functionality uses recent features of ase which demands an environment that is not necessarily supported<br>\n",
-    "by NOMAD OASIS. As the here exemplified settings for this example are configured to represent an environment<br>\n",
-    "matching one which is close to NOMAD, users who are interested in this dev functionality should do the following:<br>\n",
-    "Run this example in a standalone environment where ase is upgraded to the latest version and then use<br>\n",
-    "the generated NeXus files either as is or upload them to NOMAD OASIS.<br>\n",
-    "If the above-mentioned cell detects e.g. that a recent version of ase was installed<br>\n",
-    "(e.g. >3.22.x) then the code in the following cell can be executed without issues.<br>\n",
-    "</div>"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "! dataconverter --reader apm --nxdl NXapm synthesize1 --output apm.case0.nxs"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "H5Web(\"apm.case0.nxs\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Further comments:"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "* Feel free to explore our atom probe microscopy containers in the north branch for more advanced processing"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Contact person for the apm reader and related examples in FAIRmat:\n",
-    "Markus Kühbach, 2023/08/31<br>\n",
-    "\n",
-    "### Funding\n",
-    "<a href=\"https://www.fairmat-nfdi.eu/fairmat\">FAIRmat</a> is a consortium on research data management which is part of the German NFDI.<br>\n",
-    "The project is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – project 460197019."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.10.12"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/examples/apm/apm.oasis.specific.yaml b/examples/apm/apm.oasis.specific.yaml
deleted file mode 100644
index 82394f07e..000000000
--- a/examples/apm/apm.oasis.specific.yaml
+++ /dev/null
@@ -1 +0,0 @@
-location: Leoben
diff --git a/examples/apm/eln_data_apm.yaml b/examples/apm/eln_data_apm.yaml
deleted file mode 100644
index ddd67ebcf..000000000
--- a/examples/apm/eln_data_apm.yaml
+++ /dev/null
@@ -1,118 +0,0 @@
-atom_probe:
-  analysis_chamber_pressure:
-    unit: torr
-    value: 2.0e-10
-  control_software_program: IVAS
-  control_software_program__attr_version: 3.6.8
-  fabrication_identifier: '12'
-  fabrication_model: LEAP3000
-  fabrication_vendor: Cameca
-  field_of_view:
-    unit: nm
-    value: 20.
-  flight_path_length:
-    unit: m
-    value: 1.2
-  instrument_name: LEAP
-  ion_detector_model: n/a
-  ion_detector_name: n/a
-  ion_detector_serial_number: n/a
-  ion_detector_type: mcp_dld
-  local_electrode_name: L1
-  location: Denton
-  pulser:
-    laser_source:
-    - name: laser1
-      power:
-        unit: nW
-        value: 24.0
-      pulse_energy:
-        unit: pJ
-        value: 24.0
-      wavelength:
-        unit: nm
-        value: 355.0
-    - name: laser2
-      power:
-        unit: nW
-        value: 12.0
-      pulse_energy:
-        unit: pJ
-        value: 12.0
-      wavelength:
-        unit: nm
-        value: 254.0
-    pulse_fraction: 0.8
-    pulse_frequency:
-      unit: kHz
-      value: 250.0
-    pulse_mode: laser_and_voltage
-  reflectron_applied: true
-  specimen_monitoring_detection_rate: 0.8
-  specimen_monitoring_initial_radius:
-    unit: nm
-    value: 12.0
-  specimen_monitoring_shank_angle:
-    unit: °
-    value: 5.0
-  stage_lab_base_temperature:
-    unit: K
-    value: 20.0
-  status: success
-entry:
-  experiment_description: '<p>Normal</p>
-
-    <p><strong>Bold</strong></p>
-
-    <p><em>Italics</em></p>'
-  experiment_identifier: Si test
-  start_time: '2023-06-11T11:20:00+00:00'
-  end_time: '2023-06-11T11:20:00+00:00'
-  run_number: '2121'
-  operation_mode: apt
-ranging:
-  program: IVAS
-  program__attr_version: 3.6.8
-reconstruction:
-  crystallographic_calibration: n/a
-  parameter: kf = 1.8, icf = 3.3
-  program: IVAS
-  program__attr_version: 3.6.8
-  protocol_name: bas
-sample:
-  composition:
-  - Mo
-  - Al 12 +- 3
-  - B 50 ppm +- 12
-  - C 3.6
-  grain_diameter:
-    unit: µm
-    value: 200.0
-  grain_diameter_error:
-    unit: µm
-    value: 50.0
-  heat_treatment_quenching_rate:
-    unit: K / s
-    value: 150.0
-  heat_treatment_quenching_rate_error:
-    unit: K / s
-    value: 10.0
-  heat_treatment_temperature:
-    unit: K
-    value: 600.0
-  heat_treatment_temperature_error:
-    unit: K
-    value: 20.0
-specimen:
-  alias: Si
-  description: '<p>normal</p>
-
-    <p><em>bold</em></p>
-
-    <p><em>italics</em></p>'
-  is_polycrystalline: true
-  name: usa_denton_smith_si
-  preparation_date: '2023-06-11T12:51:00+00:00'
-user:
-- {}
-- {}
diff --git a/pynxtools/dataconverter/readers/apm/README.md b/pynxtools/dataconverter/readers/apm/README.md
deleted file mode 100644
index 734c7e3d0..000000000
--- a/pynxtools/dataconverter/readers/apm/README.md
+++ /dev/null
@@ -1,120 +0,0 @@
-# APM reader
-
-## Purpose
-Translate diverse file formats from the scientific community and technology partners
-within the field of atom probe microscopy into a standardized representation using the
-NeXus application definition NXapm.
-
-## What this apm reader supports
-The main idea behind the parser is to offer users a diverse example of how a parser for
-specific file formats from atom probe can be written and designed. We would like to encourage
-the APM community to share example files with us. These can be small and come from diverse
-use cases. Ideally, these should represent data in files other than the already supported
-ones, so that we can broaden the applicability of this parser.
-For this we work together with the International Field Emission Society's (IFES)
-Atom Probe Technical Committee (APT TC).
-
-Specifically, the here implemented apm reader shows how to load and interpret
-data and metadata in different file formats; specifically POS, ePOS, and the APT files
-from APSuite6, including RNG, and RRNG.
-
-The example also shows how metadata which are not contained in the above-mentioned file formats
-can also be added to the NeXus file via a generic text file, specifically a YAML-based solution.
-In this example implementation metadata are read from a YAML file and placed in the
-respective places inside an HDF5. This HDF5 file is formatted according to the NXapm
-application definition. NXapm is based on the data and metadata which are not only contained
-in classical atom probe file formats but also include the ideas of the APT HDF file format
-which was drafted by the IFES APT TC.
-
-Using a YAML file to parse in metadata which would otherwise not be available with classical
-file formats makes this example generic enough to work with many other electronic lab notebook
-(ELN) solutions provided that these also export their metadata using a YAML file with the same
-formatting and mapping of concepts on the here shown NeXus vocabulary.
-
-## Getting started - standalone usage
-If you use this dataconverter/apm parser as a standalone tool,
-1. You should follow the interactive jupyter notebook that is stored in
-   *pynxtools/examples/apm*.
-2. As the standalone usage of this parser does not require a NOMAD OASIS instance,
-   you have to edit the ELN manually or via another ELN. For this you can edit the
-   example eln_data_apm.yaml which comes shipped with this example. Alternatively,
-   you can at this point copy or place your own datasets into the working directory
-   of the jupyter lab instance.
-3. Once the YAML file has been edited, to your satisfaction you can continue
-   executing the jupyter tutorial. This should create an instance of a NeXus/HDF5 file
-   which is formatted according to the NXem application definition.
-
-## Getting started - usage related to NOMAD OASIS
-This parser can be used to map numerical data and metadata inside frequently
-used file formats of atom probe tomography and related field-ion microscopy
-software tools into a NeXus HDF5 file which complies with a specific version
-of the NXapm application definition.
-
-If you are using a NOMAD OASIS, you can use this tool as follows.
-1. Log-in to a NOMAD OASIS and navigate to the *Create Uploads* tab.
-2. Select apm example from the list of available options.
-3. Drag-and-drop the file with your reconstructed dataset via pos, epos, or apt,
-   and add your ranging definitions file via rrng, or rng, or the fig files from
-   Peter Felfer's Erlangen atom-probe-toolbox.
-3. Edit the electronic lab notebook (ELN) schema inside the NOMAD OASIS and click the
-   save button in the NOMAD OASIS GUI to save the data that you have entered into
-   the ELN template. Clicking *save* will trigger the automatic generation
-   of an eln_data.yaml file. Second, the clicking will trigger a run of the
-   dataconverter/apm parser which generates a NXapm NeXus file based on the data
-   in the reconstruction and ranging file and the eln_data.yaml file. Afterwards,
-   the file will be displayed in the GUI and show up in the upload section of your OASIS.
-   By default the converter performs a strong loss-less compression on the input
-   as many of the stack data store integers with a low entropy. The compression may
-   take some time. You can inspect the progress of the conversion in the console from
-   which you started the NOMAD OASIS appworker.
-4. If successful, a NeXus (nxs) file will appear in your upload. You can explore
-   its content with the H5Web tools inside the NOMAD OASIS GUI and click interactively
-   through the data including default plots. For atom probe these are a 3D discretized
-   view of your reconstruction using 1nm rectangular binning and the mass spectrum
-   with a default 0.01 Da binning an no additional corrections.
-   If unsuccessful, the console from where you started the NOMAD appworker can help
-   you with identifying if problems occurred.
-
-
-## A request to take action by the technology partners
-In fact, while the above-mentioned file formats and corresponding commercial software is routinely
-used by numerous atom probers every day, the actual knowledge about the I/O routines has always
-been on a few developers shoulders. In fact many of the open-source readers for file formats were
-reverse-engineered. This is challenging because the amount of documentation that is available
-for some file formats is neither exhaustive nor documented enough in detail.
-
-This limits developers to decide and design how to best implement possible mappings of
-specific binary numerical data and metadata into specifically named fields. We wish that
-intensified exchange between technology partners like AMETEK/Cameca and the atom probe
-community can help to improve the situation. Everybody is very welcomed to leave us
-comments in the issue list (or drop us an email) to exchange specifically about this topic.
-
-## Known limitations of this reader
-Currently the apm parser reads the following quantities: reconstructed ion positions,
-and mass-to-charge-state ratio values. The readers are technically capable to read
-also all other fields in ePOS and APT files to the extent as these have been
-documented by AMETEK/Cameca and the atom probe literature.
-
-## Known performance issues of this reader
-When the ranging definitions have molecular ions which are composed from many atoms
-and using elements with many isotopes it is possible that the interpretation
-of the ranging definitions can take long. The situation is highly case dependent.
-The reason for this is that the apm reader internally uses a combinatorial
-algorithm via the ifes_apt_tc_data_modeling library. Using this library has the 
-benefit that it is automatically capable to identify charge states but for
-complex molecular ions it may take a while evaluate all possible isotopic
-combinations.
-
-Currently, a more severe performance issue, relevant for some cases and input, is
-that the verification of the instantiated schema is slow. This verification step
-happens before the data are written to HDF5. The reason for this issue is that
-components of the dataconverter traverse the dependency graph of the instantiated
-NeXus application definition to assure that the template is valid, i.e. that
-all required quantities are defined and mapping their individual concepts as defined
-in NXapm. Depending on the complexity of the data model and which branches will be
-instantiated by the input, though, this evaluation may be slower
-as more pathes have to be visited. Noteworthy users should understand that this
-issue is independent of size of the input (i.e. how many ions a dataset has).
-
-## Contact person in FAIRmat for this reader
-Markus Kühbach
diff --git a/pynxtools/dataconverter/readers/apm/__init__.py b/pynxtools/dataconverter/readers/apm/__init__.py
deleted file mode 100644
index a138d4795..000000000
--- a/pynxtools/dataconverter/readers/apm/__init__.py
+++ /dev/null
@@ -1,3 +0,0 @@
-# import os, sys
-# sys.path.insert(1,
-#                 os.path.abspath(f"{os.path.dirname(__file__)}/ase_3_22_1"))
diff --git a/pynxtools/dataconverter/readers/apm/map_concepts/apm_deployment_specifics_to_nx_map.py b/pynxtools/dataconverter/readers/apm/map_concepts/apm_deployment_specifics_to_nx_map.py
deleted file mode 100644
index f9fcf3fab..000000000
--- a/pynxtools/dataconverter/readers/apm/map_concepts/apm_deployment_specifics_to_nx_map.py
+++ /dev/null
@@ -1,57 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Dict mapping values for a specific deployed config of NOMAD OASIS + ELN + apm reader."""
-
-# pylint: disable=no-member,line-too-long
-
-# currently by virtue of design NOMAD OASIS specific examples show how different tools and
-# services can be specifically coupled and implemented so that they work together
-# currently we assume that the ELN provides all those pieces of information to instantiate
-# a NeXus data artifact which technology-partner-specific files or database blobs can not
-# deliver. Effectively a reader uses the eln_data.yaml generic ELN output to fill in these
-# missing pieces of information while typically heavy data (tensors etc) are translated
-# and written from the technology-partner files
-# for large application definitions this can lead to a practical inconvenience:
-# the ELN that has to be exposed to the user is complex and has many fields to fill in
-# just to assure that all information are included in the ELN output and thus consumable
-# by the dataconverter
-# taking the perspective of a specific lab where a specific version of an ELN provided by
-# or running in addition to NOMAD OASIS is used many pieces of information might not change
-# or administrators do not wish to expose this via the end user ELN in an effort to reduce
-# the complexity for end users and make entering of repetitiv information obsolete
-
-# this is the scenario for which deployment_specific mapping shines
-# parsing of deployment specific details in the apm reader is currently implemented
-# such that it executes after reading generic ELN data (eventually available entries)
-# in the template get overwritten
-
-from pynxtools.dataconverter.readers.apm.utils.apm_versioning import (
-    NX_APM_ADEF_NAME,
-    NX_APM_ADEF_VERSION,
-    NX_APM_EXEC_NAME,
-    NX_APM_EXEC_VERSION,
-)
-
-
-NxApmDeploymentSpecificInput = {
-    "/ENTRY[entry*]/@version": f"{NX_APM_ADEF_VERSION}",
-    "/ENTRY[entry*]/definition": f"{NX_APM_ADEF_NAME}",
-    "/ENTRY[entry*]/PROGRAM[program1]/program": f"{NX_APM_EXEC_NAME}",
-    "/ENTRY[entry*]/PROGRAM[program1]/program/@version": f"{NX_APM_EXEC_VERSION}",
-    "/ENTRY[entry*]/atom_probe/location": {"fun": "load_from", "terms": "location"},
-}
diff --git a/pynxtools/dataconverter/readers/apm/map_concepts/apm_eln_to_nx_map.py b/pynxtools/dataconverter/readers/apm/map_concepts/apm_eln_to_nx_map.py
deleted file mode 100644
index b6def4321..000000000
--- a/pynxtools/dataconverter/readers/apm/map_concepts/apm_eln_to_nx_map.py
+++ /dev/null
@@ -1,325 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Dict mapping custom schema instances from eln_data.yaml file on concepts in NXapm."""
-
-NxApmElnInput = {
-    "IGNORE": {"fun": "load_from_dict_list", "terms": "em_lab/detector"},
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "em_lab/ebeam_column/aberration_correction/applied",
-    },
-    "IGNORE": {
-        "fun": "load_from_dict_list",
-        "terms": "em_lab/ebeam_column/aperture_em",
-    },
-    "/ENTRY[entry*]/PROGRAM[program2]/program": {
-        "fun": "load_from",
-        "terms": "atom_probe/control_software_program",
-    },
-    "/ENTRY[entry*]/PROGRAM[program2]/program/@version": {
-        "fun": "load_from",
-        "terms": "atom_probe/control_software_program__attr_version",
-    },
-    "/ENTRY[entry*]/experiment_identifier": {
-        "fun": "load_from",
-        "terms": "entry/experiment_identifier",
-    },
-    "/ENTRY[entry*]/start_time": {"fun": "load_from", "terms": "entry/start_time"},
-    "/ENTRY[entry*]/end_time": {"fun": "load_from", "terms": "entry/end_time"},
-    "/ENTRY[entry*]/run_number": {"fun": "load_from", "terms": "entry/run_number"},
-    "/ENTRY[entry*]/operation_mode": {
-        "fun": "load_from",
-        "terms": "entry/operation_mode",
-    },
-    "/ENTRY[entry*]/experiment_description": {
-        "fun": "load_from",
-        "terms": "entry/experiment_description",
-    },
-    "IGNORE": {"fun": "load_from", "terms": "sample/alias"},
-    "/ENTRY[entry*]/sample/grain_diameter": {
-        "fun": "load_from",
-        "terms": "sample/grain_diameter/value",
-    },
-    "/ENTRY[entry*]/sample/grain_diameter/@units": {
-        "fun": "load_from",
-        "terms": "sample/grain_diameter/unit",
-    },
-    "/ENTRY[entry*]/sample/grain_diameter_error": {
-        "fun": "load_from",
-        "terms": "sample/grain_diameter_error/value",
-    },
-    "/ENTRY[entry*]/sample/grain_diameter_error/@units": {
-        "fun": "load_from",
-        "terms": "sample/grain_diameter_error/unit",
-    },
-    "/ENTRY[entry*]/sample/heat_treatment_quenching_rate": {
-        "fun": "load_from",
-        "terms": "sample/heat_treatment_quenching_rate/value",
-    },
-    "/ENTRY[entry*]/sample/heat_treatment_quenching_rate/@units": {
-        "fun": "load_from",
-        "terms": "sample/heat_treatment_quenching_rate/unit",
-    },
-    "/ENTRY[entry*]/sample/heat_treatment_quenching_rate_error": {
-        "fun": "load_from",
-        "terms": "sample/heat_treatment_quenching_rate_error/value",
-    },
-    "/ENTRY[entry*]/sample/heat_treatment_quenching_rate_error/@units": {
-        "fun": "load_from",
-        "terms": "sample/heat_treatment_quenching_rate_error/unit",
-    },
-    "/ENTRY[entry*]/sample/heat_treatment_temperature": {
-        "fun": "load_from",
-        "terms": "sample/heat_treatment_temperature/value",
-    },
-    "/ENTRY[entry*]/sample/heat_treatment_temperature/@units": {
-        "fun": "load_from",
-        "terms": "sample/heat_treatment_temperature/unit",
-    },
-    "/ENTRY[entry*]/sample/heat_treatment_temperature_error": {
-        "fun": "load_from",
-        "terms": "sample/heat_treatment_temperature_error/value",
-    },
-    "/ENTRY[entry*]/sample/heat_treatment_temperature_error/@units": {
-        "fun": "load_from",
-        "terms": "sample/heat_treatment_temperature_error/unit",
-    },
-    "/ENTRY[entry*]/specimen/name": {"fun": "load_from", "terms": "specimen/name"},
-    "/ENTRY[entry*]/specimen/preparation_date": {
-        "fun": "load_from",
-        "terms": "specimen/preparation_date",
-    },
-    "IGNORE": {"fun": "load_from", "terms": "specimen/sample_history"},
-    "/ENTRY[entry*]/specimen/alias": {"fun": "load_from", "terms": "specimen/alias"},
-    "/ENTRY[entry*]/specimen/is_polycrystalline": {
-        "fun": "load_from",
-        "terms": "specimen/is_polycrystalline",
-    },
-    "/ENTRY[entry*]/specimen/description": {
-        "fun": "load_from",
-        "terms": "specimen/description",
-    },
-    "/ENTRY[entry*]/atom_probe/FABRICATION[fabrication]/identifier": {
-        "fun": "load_from",
-        "terms": "atom_probe/fabrication_identifier",
-    },
-    "/ENTRY[entry*]/atom_probe/FABRICATION[fabrication]/model": {
-        "fun": "load_from",
-        "terms": "atom_probe/fabrication_model",
-    },
-    "/ENTRY[entry*]/atom_probe/FABRICATION[fabrication]/vendor": {
-        "fun": "load_from",
-        "terms": "atom_probe/fabrication_vendor",
-    },
-    "/ENTRY[entry*]/atom_probe/analysis_chamber/pressure": {
-        "fun": "load_from",
-        "terms": "atom_probe/analysis_chamber_pressure/value",
-    },
-    "/ENTRY[entry*]/atom_probe/analysis_chamber/pressure/@units": {
-        "fun": "load_from",
-        "terms": "atom_probe/analysis_chamber_pressure/unit",
-    },
-    "/ENTRY[entry*]/atom_probe/control_software/PROGRAM[program1]/program": {
-        "fun": "load_from",
-        "terms": "atom_probe/control_software_program",
-    },
-    "/ENTRY[entry*]/atom_probe/control_software/PROGRAM[program1]/program/@version": {
-        "fun": "load_from",
-        "terms": "atom_probe/control_software_program__attr_version",
-    },
-    "/ENTRY[entry*]/atom_probe/field_of_view": {
-        "fun": "load_from",
-        "terms": "atom_probe/field_of_view/value",
-    },
-    "/ENTRY[entry*]/atom_probe/field_of_view/@units": {
-        "fun": "load_from",
-        "terms": "atom_probe/field_of_view/unit",
-    },
-    "/ENTRY[entry*]/atom_probe/flight_path_length": {
-        "fun": "load_from",
-        "terms": "atom_probe/flight_path_length/value",
-    },
-    "/ENTRY[entry*]/atom_probe/flight_path_length/@units": {
-        "fun": "load_from",
-        "terms": "atom_probe/flight_path_length/unit",
-    },
-    "/ENTRY[entry*]/atom_probe/instrument_name": {
-        "fun": "load_from",
-        "terms": "atom_probe/instrument_name",
-    },
-    "/ENTRY[entry*]/atom_probe/ion_detector/model": {
-        "fun": "load_from",
-        "terms": "atom_probe/ion_detector_model",
-    },
-    "/ENTRY[entry*]/atom_probe/ion_detector/name": {
-        "fun": "load_from",
-        "terms": "atom_probe/ion_detector_name",
-    },
-    "/ENTRY[entry*]/atom_probe/ion_detector/serial_number": {
-        "fun": "load_from",
-        "terms": "atom_probe/ion_detector_serial_number",
-    },
-    "/ENTRY[entry*]/atom_probe/ion_detector/type": {
-        "fun": "load_from",
-        "terms": "atom_probe/ion_detector_type",
-    },
-    "/ENTRY[entry*]/atom_probe/local_electrode/name": {
-        "fun": "load_from",
-        "terms": "atom_probe/local_electrode_name",
-    },
-    "/ENTRY[entry*]/atom_probe/location": {
-        "fun": "load_from",
-        "terms": "atom_probe/location",
-    },
-    "/ENTRY[entry*]/atom_probe/REFLECTRON[reflectron]/applied": {
-        "fun": "load_from",
-        "terms": "atom_probe/reflectron_applied",
-    },
-    "/ENTRY[entry*]/atom_probe/stage_lab/base_temperature": {
-        "fun": "load_from",
-        "terms": "atom_probe/stage_lab_base_temperature/value",
-    },
-    "/ENTRY[entry*]/atom_probe/stage_lab/base_temperature/@units": {
-        "fun": "load_from",
-        "terms": "atom_probe/stage_lab_base_temperature/unit",
-    },
-    "/ENTRY[entry*]/atom_probe/specimen_monitoring/detection_rate": {
-        "fun": "load_from",
-        "terms": "atom_probe/specimen_monitoring_detection_rate/value",
-    },
-    "/ENTRY[entry*]/atom_probe/specimen_monitoring/detection_rate/@units": {
-        "fun": "load_from",
-        "terms": "atom_probe/specimen_monitoring_detection_rate/unit",
-    },
-    "/ENTRY[entry*]/atom_probe/specimen_monitoring/initial_radius": {
-        "fun": "load_from",
-        "terms": "atom_probe/specimen_monitoring_initial_radius/value",
-    },
-    "/ENTRY[entry*]/atom_probe/specimen_monitoring/initial_radius/@units": {
-        "fun": "load_from",
-        "terms": "atom_probe/specimen_monitoring_initial_radius/unit",
-    },
-    "/ENTRY[entry*]/atom_probe/specimen_monitoring/shank_angle": {
-        "fun": "load_from",
-        "terms": "atom_probe/specimen_monitoring_shank_angle/value",
-    },
-    "/ENTRY[entry*]/atom_probe/specimen_monitoring/shank_angle/@units": {
-        "fun": "load_from",
-        "terms": "atom_probe/specimen_monitoring_shank_angle/unit",
-    },
-    "/ENTRY[entry*]/atom_probe/status": {
-        "fun": "load_from",
-        "terms": "atom_probe/status",
-    },
-    "/ENTRY[entry*]/atom_probe/pulser/pulse_fraction": {
-        "fun": "load_from",
-        "terms": "atom_probe/pulser/pulse_fraction",
-    },
-    "/ENTRY[entry*]/atom_probe/pulser/pulse_frequency": {
-        "fun": "load_from",
-        "terms": "atom_probe/pulser/pulse_frequency/value",
-    },
-    "/ENTRY[entry*]/atom_probe/pulser/pulse_frequency/@units": {
-        "fun": "load_from",
-        "terms": "atom_probe/pulser/pulse_frequency/unit",
-    },
-    "/ENTRY[entry*]/atom_probe/pulser/pulse_mode": {
-        "fun": "load_from",
-        "terms": "atom_probe/pulser/pulse_mode",
-    },
-    "/ENTRY[entry*]/atom_probe/ranging/PROGRAM[program1]/program": {
-        "fun": "load_from",
-        "terms": "atom_probe/ranging/program",
-    },
-    "/ENTRY[entry*]/atom_probe/ranging/PROGRAM[program1]/program/@version": {
-        "fun": "load_from",
-        "terms": "atom_probe/ranging/program__attr_version",
-    },
-    "/ENTRY[entry*]/atom_probe/reconstruction/PROGRAM[program1]/program": {
-        "fun": "load_from",
-        "terms": "atom_probe/reconstruction/program",
-    },
-    "/ENTRY[entry*]/atom_probe/reconstruction/PROGRAM[program1]/program/@version": {
-        "fun": "load_from",
-        "terms": "atom_probe/reconstruction/program__attr_version",
-    },
-    "/ENTRY[entry*]/atom_probe/reconstruction/crystallographic_calibration": {
-        "fun": "load_from",
-        "terms": "atom_probe/reconstruction/crystallographic_calibration",
-    },
-    "/ENTRY[entry*]/atom_probe/reconstruction/parameter": {
-        "fun": "load_from",
-        "terms": "atom_probe/reconstruction/parameter",
-    },
-    "/ENTRY[entry*]/atom_probe/reconstruction/protocol_name": {
-        "fun": "load_from",
-        "terms": "atom_probe/reconstruction/protocol_name",
-    },
-}
-
-# NeXus concept specific mapping tables which require special treatment as the current
-# NOMAD OASIS custom schema implementation delivers them as a list of dictionaries instead
-# of a directly flattenable list of keyword, value pairs
-
-NxUserFromListOfDict = {
-    "/ENTRY[entry*]/USER[user*]/name": {"fun": "load_from", "terms": "name"},
-    "/ENTRY[entry*]/USER[user*]/affiliation": {
-        "fun": "load_from",
-        "terms": "affiliation",
-    },
-    "/ENTRY[entry*]/USER[user*]/address": {"fun": "load_from", "terms": "address"},
-    "/ENTRY[entry*]/USER[user*]/email": {"fun": "load_from", "terms": "email"},
-    "/ENTRY[entry*]/USER[user*]/orcid": {"fun": "load_from", "terms": "orcid"},
-    "/ENTRY[entry*]/USER[user*]/orcid_platform": {
-        "fun": "load_from",
-        "terms": "orcid_platform",
-    },
-    "/ENTRY[entry*]/USER[user*]/telephone_number": {
-        "fun": "load_from",
-        "terms": "telephone_number",
-    },
-    "/ENTRY[entry*]/USER[user*]/role": {"fun": "load_from", "terms": "role"},
-    "/ENTRY[entry*]/USER[user*]/social_media_name": {
-        "fun": "load_from",
-        "terms": "social_media_name",
-    },
-    "/ENTRY[entry*]/USER[user*]/social_media_platform": {
-        "fun": "load_from",
-        "terms": "social_media_platform",
-    },
-}
-
-# LEAP6000 can use up to two lasers and voltage pulsing (both at the same time?)
-NxPulserFromListOfDict = {
-    "/ENTRY[entry*]/atom_probe/pulser/SOURCE[source*]/name": {
-        "fun": "load_from",
-        "terms": "name",
-    },
-    "/ENTRY[entry*]/atom_probe/pulser/SOURCE[source*]/power": {
-        "fun": "load_from",
-        "terms": "power",
-    },
-    "/ENTRY[entry*]/atom_probe/pulser/SOURCE[source*]/pulse_energy": {
-        "fun": "load_from",
-        "terms": "pulse_energy",
-    },
-    "/ENTRY[entry*]/atom_probe/pulser/SOURCE[source*]/wavelength": {
-        "fun": "load_from",
-        "terms": "wavelength",
-    },
-}
diff --git a/pynxtools/dataconverter/readers/apm/reader.py b/pynxtools/dataconverter/readers/apm/reader.py
deleted file mode 100644
index 1451a6c39..000000000
--- a/pynxtools/dataconverter/readers/apm/reader.py
+++ /dev/null
@@ -1,154 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Generic parser for loading atom probe microscopy data into NXapm."""
-
-# pylint: disable=no-member
-
-from typing import Tuple, Any
-
-from pynxtools.dataconverter.readers.base.reader import BaseReader
-
-from pynxtools.dataconverter.readers.apm.utils.apm_define_io_cases import (
-    ApmUseCaseSelector,
-)
-
-from pynxtools.dataconverter.readers.apm.utils.apm_load_deployment_specifics import (
-    NxApmNomadOasisConfigurationParser,
-)
-
-from pynxtools.dataconverter.readers.apm.utils.apm_load_generic_eln import (
-    NxApmNomadOasisElnSchemaParser,
-)
-
-from pynxtools.dataconverter.readers.apm.utils.apm_load_reconstruction import (
-    ApmReconstructionParser,
-)
-
-from pynxtools.dataconverter.readers.apm.utils.apm_load_ranging import (
-    ApmRangingDefinitionsParser,
-)
-
-from pynxtools.dataconverter.readers.apm.utils.apm_create_nx_default_plots import (
-    apm_default_plot_generator,
-)
-
-from pynxtools.dataconverter.readers.apm.utils.apm_generate_synthetic_data import (
-    ApmCreateExampleData,
-)
-
-# this apm parser combines multiple sub-parsers
-# so we need the following input:
-# logical analysis which use case
-# data input from an ELN (e.g. NOMAD OASIS)
-# data input from technology partner files
-# functionalities for creating default plots
-# developer functionalities for creating synthetic data
-
-# each reconstruction should be stored as an own file because for commercial
-# atom probe microscopes it is currently impossible to get less processed data
-# from the microscopes
-# for development purposes synthetic datasets can be created which are
-# for now stored all in the same file. As these use the same dictionary
-# the template variable analyses of files larger than the physical main memory
-# can currently not be handled
-
-
-class ApmReader(BaseReader):
-    """Parse content from community file formats.
-
-    Specifically, (local electrode) atom probe microscopy and field-ion microscopy
-    towards a NXapm.nxdl-compliant NeXus file.
-
-    """
-
-    # pylint: disable=too-few-public-methods
-
-    # Whitelist for the NXDLs that the reader supports and can process
-    supported_nxdls = ["NXapm"]
-
-    def read(
-        self,
-        template: dict = None,
-        file_paths: Tuple[str] = None,
-        objects: Tuple[Any] = None,
-    ) -> dict:
-        """Read data from given file, return filled template dictionary apm."""
-        template.clear()
-
-        n_entries = 1
-        entry_id = 1
-        if len(file_paths) == 1:
-            if file_paths[0].startswith("synthesize"):
-                synthesis_id = int(file_paths[0].replace("synthesize", ""))
-                print(f"synthesis_id {synthesis_id}")
-            else:
-                synthesis_id = 1
-            print("Create one synthetic entry in one NeXus file...")
-            synthetic = ApmCreateExampleData(synthesis_id)
-            synthetic.synthesize(template)
-        else:  # eln_data, and ideally recon and ranging definitions from technology partner file
-            print("Parse ELN and technology partner file(s)...")
-            case = ApmUseCaseSelector(file_paths)
-            assert (
-                case.is_valid is True
-            ), "Such a combination of input-file(s, if any) is not supported !"
-
-            print("Parse (meta)data coming from an ELN...")
-            if len(case.eln) == 1:
-                nx_apm_eln = NxApmNomadOasisElnSchemaParser(case.eln[0], entry_id)
-                nx_apm_eln.report(template)
-            else:
-                print("No input file defined for eln data !")
-                return {}
-
-            print("Parse (meta)data coming from a configuration that specific OASIS...")
-            if len(case.cfg) == 1:
-                nx_apm_cfg = NxApmNomadOasisConfigurationParser(case.cfg[0], entry_id)
-                nx_apm_cfg.report(template)
-            # having and or using a deployment-specific configuration is optional
-
-            print(
-                "Parse (numerical) data and metadata from ranging definitions file..."
-            )
-            if len(case.reconstruction) == 1:
-                nx_apm_recon = ApmReconstructionParser(case.reconstruction[0], entry_id)
-                nx_apm_recon.report(template)
-            else:
-                print("No input-file defined for reconstructed dataset!")
-                return {}
-            if len(case.ranging) == 1:
-                nx_apm_range = ApmRangingDefinitionsParser(case.ranging[0], entry_id)
-                nx_apm_range.report(template)
-            else:
-                print("No input-file defined for ranging definitions!")
-                return {}
-
-        print("Create NeXus default plottable data...")
-        apm_default_plot_generator(template, n_entries)
-
-        # print("Reporting state of template before passing to HDF5 writing...")
-        # for keyword in template.keys():
-        #     print(keyword)
-        #     print(template[keyword])
-
-        print("Forward instantiated template to the NXS writer...")
-        return template
-
-
-# This has to be set to allow the convert script to use this reader.
-READER = ApmReader
diff --git a/pynxtools/dataconverter/readers/apm/utils/__init__.py b/pynxtools/dataconverter/readers/apm/utils/__init__.py
deleted file mode 100644
index e69de29bb..000000000
diff --git a/pynxtools/dataconverter/readers/apm/utils/apm_create_nx_default_plots.py b/pynxtools/dataconverter/readers/apm/utils/apm_create_nx_default_plots.py
deleted file mode 100644
index 19745157d..000000000
--- a/pynxtools/dataconverter/readers/apm/utils/apm_create_nx_default_plots.py
+++ /dev/null
@@ -1,244 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Generator for NXapm default plots."""
-
-# pylint: disable=no-member
-
-import numpy as np
-
-from pynxtools.dataconverter.readers.shared.shared_utils import get_repo_last_commit
-
-
-def create_default_plot_reconstruction(template: dict, entry_id: int) -> dict:
-    """Compute on-the-fly, add, and give path to discretized reconstruction."""
-    trg = f"/ENTRY[entry{entry_id}]/atom_probe/reconstruction/"
-    xyz = template[f"{trg}reconstructed_positions"]["compress"]
-
-    print(f"\tEnter histogram computation, np.shape(xyz) {np.shape(xyz)}")
-    resolution = 1.0  # cubic voxel edge length in nm
-    bounds = np.zeros([3, 2], np.float32)  # in nm
-    for i in np.arange(0, 3):
-        bounds[i, 0] = np.min(xyz[:, i])
-        bounds[i, 1] = np.max(xyz[:, i])
-    # make the bounding box a quadric prism
-    imi = np.floor(bounds[0, 0]) - resolution
-    imx = np.ceil(bounds[0, 1]) + resolution
-    xedges = np.linspace(
-        imi, imx, num=int(np.ceil((imx - imi) / resolution)) + 1, endpoint=True
-    )
-    # this partitioning is not general enough, imi and imx should be left and right
-    # bounds respectively
-    imi = np.floor(bounds[1, 0]) - resolution
-    imx = np.ceil(bounds[1, 1]) + resolution
-    yedges = np.linspace(
-        imi, imx, num=int(np.ceil((imx - imi) / resolution)) + 1, endpoint=True
-    )
-    imi = np.floor(bounds[2, 0]) - resolution
-    imx = np.ceil(bounds[2, 1]) + resolution
-    zedges = np.linspace(
-        imi, imx, num=int(np.ceil((imx - imi) / resolution)) + 1, endpoint=True
-    )
-
-    hist3d = np.histogramdd(
-        (xyz[:, 0], xyz[:, 1], xyz[:, 2]), bins=(xedges, yedges, zedges)
-    )
-    del xyz
-    assert isinstance(
-        hist3d[0], np.ndarray
-    ), "Hist3d computation from the reconstruction failed!"
-    assert (
-        len(np.shape(hist3d[0])) == 3
-    ), "Hist3d computation from the reconstruction failed!"
-    for i in np.arange(0, 3):
-        assert np.shape(hist3d[0])[i] > 0, "Dimensions " + str(i) + " has no length!"
-
-    trg = (
-        f"/ENTRY[entry{entry_id}]/atom_probe/reconstruction/"
-        f"naive_point_cloud_density_map/"
-    )
-    template[f"{trg}PROGRAM[program1]/program"] = "nomad-parser-nexus/apm/reader.py"
-    template[f"{trg}PROGRAM[program1]/program/@version"] = get_repo_last_commit()
-
-    trg = (
-        f"/ENTRY[entry{entry_id}]/atom_probe/reconstruction/"
-        f"naive_point_cloud_density_map/DATA[data]/"
-    )
-    template[f"{trg}title"] = "Discretized reconstruction space"
-    # template[f"{trg}@long_name"] = "Discretized reconstruction space"
-    template[f"{trg}@signal"] = "data_counts"
-    template[f"{trg}@axes"] = ["axis_x", "axis_y", "axis_z"]
-    template[f"{trg}@AXISNAME_indices[axis_x]"] = np.uint32(0)
-    template[f"{trg}@AXISNAME_indices[axis_y]"] = np.uint32(1)
-    template[f"{trg}@AXISNAME_indices[axis_z]"] = np.uint32(2)
-
-    # mind that histogram does not follow Cartesian conventions so a transpose
-    # might be necessary, for now we implement the transpose in the appdef
-    template[f"{trg}DATA[data_counts]"] = {
-        "compress": np.array(hist3d[0], np.uint32),
-        "strength": 1,
-    }
-    template[f"{trg}AXISNAME[axis_x]"] = {
-        "compress": np.array(hist3d[1][0][1::], np.float32),
-        "strength": 1,
-    }
-    template[f"{trg}AXISNAME[axis_x]/@units"] = "nm"
-    template[f"{trg}AXISNAME[axis_x]/@long_name"] = "x (nm)"
-    template[f"{trg}AXISNAME[axis_y]"] = {
-        "compress": np.array(hist3d[1][1][1::], np.float32),
-        "strength": 1,
-    }
-    template[f"{trg}AXISNAME[axis_y]/@units"] = "nm"
-    template[f"{trg}AXISNAME[axis_y]/@long_name"] = "y (nm)"
-    template[f"{trg}AXISNAME[axis_z]"] = {
-        "compress": np.array(hist3d[1][2][1::], np.float32),
-        "strength": 1,
-    }
-    template[f"{trg}AXISNAME[axis_z]/@units"] = "nm"
-    template[f"{trg}AXISNAME[axis_z]/@long_name"] = "z (nm)"
-    print("Default plot 3D discretized reconstruction at 1 nm binning.")
-    del hist3d
-
-    return template
-
-
-def create_default_plot_mass_spectrum(template: dict, entry_id: int) -> dict:
-    """Compute on-the-fly, add, and give path to discretized reconstruction."""
-    trg = f"/ENTRY[entry{entry_id}]/atom_probe/mass_to_charge_conversion/"
-    m_z = template[f"{trg}mass_to_charge"]["compress"]
-
-    print(f"\tEnter mass spectrum computation, np.shape(m_z) {np.shape(m_z)}")
-    mqmin = 0.0  # in Da, do not plot unphysical values < 0.0
-    mqmax = np.ceil(np.max(m_z[:]))
-    mqincr = 0.01  # in Da by default
-
-    hist1d = np.histogram(
-        m_z[:],
-        np.linspace(
-            mqmin, mqmax, num=int(np.ceil((mqmax - mqmin) / mqincr)) + 1, endpoint=True
-        ),
-    )
-    del m_z
-    assert isinstance(
-        hist1d[0], np.ndarray
-    ), "Hist1d computation from the mass spectrum failed!"
-    assert (
-        len(np.shape(hist1d[0])) == 1
-    ), "Hist1d computation from the mass spectrum failed!"
-    for i in np.arange(0, 1):
-        assert np.shape(hist1d[0])[i] > 0, "Dimensions " + str(i) + " has no length!"
-
-    trg = f"/ENTRY[entry{entry_id}]/atom_probe/ranging/mass_to_charge_distribution/"
-    template[f"{trg}PROGRAM[program1]/program"] = "nomad-parser-nexus/apm/reader.py"
-    template[f"{trg}PROGRAM[program1]/program/@version"] = get_repo_last_commit()
-
-    template[f"{trg}range_increment"] = mqincr
-    template[f"{trg}range_increment/@units"] = "Da"
-    template[f"{trg}range_minmax"] = np.array([mqmin, mqmax], np.float32)
-    template[f"{trg}range_minmax/@units"] = "Da"
-
-    trg = (
-        f"/ENTRY[entry{entry_id}]/atom_probe/ranging/"
-        f"mass_to_charge_distribution/mass_spectrum/"
-    )
-    template[f"{trg}title"] = "Mass spectrum (0.01 Da binning)"
-    template[f"{trg}@signal"] = "data_counts"
-    template[f"{trg}@axes"] = "axis_mass_to_charge"
-    template[f"{trg}@AXISNAME_indices[axis_mass_to_charge]"] = np.uint32(0)
-    template[f"{trg}DATA[data_counts]"] = {
-        "compress": np.array(hist1d[0], np.uint32),
-        "strength": 1,
-    }
-    template[f"{trg}DATA[data_counts]/@long_name"] = "Counts (1)"
-    template[f"{trg}AXISNAME[axis_mass_to_charge]"] = {
-        "compress": np.array(hist1d[1][1::], np.float32),
-        "strength": 1,
-    }
-    template[f"{trg}AXISNAME[axis_mass_to_charge]/@units"] = "Da"
-    template[
-        f"{trg}AXISNAME[axis_mass_to_charge]/@long_name"
-    ] = "Mass-to-charge-state ratio (Da)"
-    print("Plot mass spectrum at 0.01 Da binning was created.")
-    del hist1d
-
-    return template
-
-
-def apm_default_plot_generator(template: dict, n_entries: int) -> dict:
-    """Copy data from self into template the appdef instance."""
-    print("Create default plots on-the-fly...")
-    # now the reader implements what is effectively the task of a normalizer step
-    # adding plot (discretized representation of the dataset), for now the default plot
-    # adding plot mass-to-charge-state ratio histogram,
-    # termed mass spectrum in APM community
-
-    # NEW ISSUE: add path to default plottable data
-
-    # check if reconstructed ion positions have been stored
-    for entry_id in np.arange(1, n_entries + 1):
-        trg = f"/ENTRY[entry{entry_id}]/atom_probe/mass_to_charge_conversion/"
-        has_valid_m_z = False
-        path = f"{trg}mass_to_charge"
-        if isinstance(template[f"{trg}mass_to_charge"], dict):
-            if "compress" in template[path].keys():
-                if isinstance(template[path]["compress"], np.ndarray):
-                    has_valid_m_z = True
-
-        trg = f"/ENTRY[entry{entry_id}]/atom_probe/reconstruction/"
-        has_valid_xyz = False
-        path = f"{trg}reconstructed_positions"
-        if isinstance(template[path], dict):
-            if "compress" in template[path].keys():
-                if isinstance(template[path]["compress"], np.ndarray):
-                    has_valid_xyz = True
-
-        has_default_data = has_valid_m_z or has_valid_xyz
-        assert (
-            has_default_data is True
-        ), "Having no recon or mass-to-charge data is inacceptable at the moment!"
-
-        # NEW ISSUE: fall-back solution to plot something else, however
-        # currently POS, EPOS and APT provide always xyz, and m_z data
-
-        # generate default plottable and add path
-        template["/@default"] = f"entry{entry_id}"
-        trg = f"/ENTRY[entry{entry_id}]/"
-        template[f"{trg}@default"] = "atom_probe"
-
-        if has_valid_m_z is True:
-            create_default_plot_mass_spectrum(template, entry_id)
-            # mass_spectrum main default...
-            trg += "atom_probe/"
-            template[f"{trg}@default"] = "ranging"
-            trg += "ranging/"
-            template[f"{trg}@default"] = "mass_to_charge_distribution"
-            trg += "mass_to_charge_distribution/"
-            template[f"{trg}@default"] = "mass_spectrum"
-
-        if has_valid_xyz is True:
-            # ... discretized naive tomographic reconstruction as fallback...
-            create_default_plot_reconstruction(template, entry_id)
-            # generate path to the default plottable
-            if has_valid_m_z is False:
-                trg += "atom_probe/"
-                template[f"{trg}@default"] = "reconstruction"
-                trg += "reconstruction/"
-                template[f"{trg}@default"] = "naive_point_cloud_density_map"
-                trg += "naive_point_cloud_density_map/"
-                template[f"{trg}@default"] = "data"
-
-    return template
diff --git a/pynxtools/dataconverter/readers/apm/utils/apm_define_io_cases.py b/pynxtools/dataconverter/readers/apm/utils/apm_define_io_cases.py
deleted file mode 100644
index 838669abf..000000000
--- a/pynxtools/dataconverter/readers/apm/utils/apm_define_io_cases.py
+++ /dev/null
@@ -1,102 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Utility class to analyze which vendor/community files are passed to em reader."""
-
-# pylint: disable=no-member,duplicate-code
-
-from typing import Tuple, Dict, List
-
-
-class ApmUseCaseSelector:  # pylint: disable=too-few-public-methods
-    """Decision maker about what needs to be parsed given arbitrary input.
-
-    Users might invoke this dataconverter with arbitrary input, no input, or
-    too much input. The UseCaseSelector decide what to do in each case.
-    """
-
-    def __init__(self, file_paths: Tuple[str] = None):
-        """Initialize the class.
-
-        dataset injects numerical data and metadata from an analysis.
-        eln injects additional metadata and eventually numerical data.
-        """
-        self.case: Dict[str, list] = {}
-        self.eln: List[str] = []
-        self.cfg: List[str] = []
-        self.reconstruction: List[str] = []
-        self.ranging: List[str] = []
-        self.is_valid = False
-        self.supported_mime_types = [
-            "pos",
-            "epos",
-            "apt",
-            "rrng",
-            "rng",
-            "txt",
-            "yaml",
-            "yml",
-        ]
-        for mime_type in self.supported_mime_types:
-            self.case[mime_type] = []
-
-        self.sort_files_by_mime_type(file_paths)
-        self.check_validity_of_file_combinations()
-
-    def sort_files_by_mime_type(self, file_paths: Tuple[str] = None):
-        """Sort all input-files based on their mimetype to prepare validity check."""
-        for file_name in file_paths:
-            index = file_name.lower().rfind(".")
-            if index >= 0:
-                suffix = file_name.lower()[index + 1 : :]
-                if suffix in self.supported_mime_types:
-                    if file_name not in self.case[suffix]:
-                        self.case[suffix].append(file_name)
-
-    def check_validity_of_file_combinations(self):
-        """Check if this combination of types of files is supported."""
-        recon_input = 0  # reconstruction relevant file e.g. POS, ePOS, APT
-        range_input = 0  # ranging definition file, e.g. RNG, RRNG
-        other_input = 0  # generic ELN or OASIS-specific configurations
-        for mime_type, value in self.case.items():
-            if mime_type in ["pos", "epos", "apt"]:
-                recon_input += len(value)
-            elif mime_type in ["rrng", "rng", "txt"]:
-                range_input += len(value)
-            elif mime_type in ["yaml", "yml"]:
-                other_input += len(value)
-            else:
-                continue
-
-        if (recon_input == 1) and (range_input == 1) and (1 <= other_input <= 2):
-            self.is_valid = True
-            self.reconstruction: List[str] = []
-            self.ranging: List[str] = []
-            for mime_type in ["pos", "epos", "apt"]:
-                self.reconstruction += self.case[mime_type]
-            for mime_type in ["rrng", "rng", "txt"]:
-                self.ranging += self.case[mime_type]
-            yml: List[str] = []
-            for mime_type in ["yaml", "yml"]:
-                yml += self.case[mime_type]
-            for entry in yml:
-                if entry.endswith(".oasis.specific.yaml") or entry.endswith(
-                    ".oasis.specific.yml"
-                ):
-                    self.cfg += [entry]
-                else:
-                    self.eln += [entry]
diff --git a/pynxtools/dataconverter/readers/apm/utils/apm_generate_synthetic_data.py b/pynxtools/dataconverter/readers/apm/utils/apm_generate_synthetic_data.py
deleted file mode 100644
index 33e3daaf1..000000000
--- a/pynxtools/dataconverter/readers/apm/utils/apm_generate_synthetic_data.py
+++ /dev/null
@@ -1,646 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Utility functions for generation of atom probe NeXus datasets for dev purposes."""
-
-# pylint: disable=no-member,duplicate-code,too-many-instance-attributes,attribute-defined-outside-init
-
-# MK::2023/05/04 the code in this file can currently not be used when
-# developers have an environment which uses ase==3.19.0 and numpy>=1.2x
-
-import hashlib
-
-import datetime
-
-from typing import List
-
-import numpy as np
-
-import ase
-from ase.lattice.cubic import FaceCenteredCubic
-from ase.data import atomic_numbers, atomic_masses, chemical_symbols
-
-from ifes_apt_tc_data_modeling.utils.utils import (
-    create_isotope_vector,
-    isotope_vector_to_nuclid_list,
-    isotope_vector_to_human_readable_name,
-    MAX_NUMBER_OF_ATOMS_PER_ION,
-    MQ_EPSILON,
-)
-
-# do not use ase directly any longer for NIST isotopes, instead this syntatic equivalent
-# from ifes_apt_tc_data_modeling.utils.nist_isotope_data \
-#     import isotopes
-
-from pynxtools.dataconverter.readers.apm.utils.apm_versioning import (
-    NX_APM_ADEF_NAME,
-    NX_APM_ADEF_VERSION,
-    NX_APM_EXEC_NAME,
-    NX_APM_EXEC_VERSION,
-)
-
-from pynxtools.dataconverter.readers.apm.utils.apm_load_ranging import (
-    add_unknown_iontype,
-)
-
-
-# parameter affecting reconstructed positions and size
-CRYSTAL_ORIENTATION = [[1, 0, 0], [0, 1, 0], [0, 0, 1]]
-# MK::add analysis how large aggregate has to be
-RECON_SIZE = (50, 50, 300)
-RECON_ATOM_SPACING = 5.0
-RECON_HEIGHT = 300.0  # angstroem
-RECON_RADIUS = 50.0  # angstroem
-MAX_COMPONENTS = 5  # how many different molecular ions in one dataset/entry
-MAX_ATOMS = 10  # determine power-law fraction of n_atoms per ion
-MULTIPLES_FACTOR = 0.6  # controls how likely multiple ions are synthesized
-# the higher this factor the more uniformly and more likely multiplicity > 1
-MAX_CHARGE_STATE = 4  # highest allowed charge_state of an ion
-MAX_ATOMIC_NUMBER = 94  # do not include heavier atoms than Plutonium
-MAX_USERS = 4
-
-
-class ApmCreateExampleData:
-    """A synthesized dataset meant to be used for development purposes only!."""
-
-    def __init__(self, synthesis_id):
-        # assure deterministic behaviour of the PRNG
-        np.random.seed(seed=synthesis_id)
-
-        self.n_entries = 1
-        print("Generating one random example NXem entry...")
-        self.entry_id = 1
-        # reconstructed dataset and mass-to-charge state ratio values
-        # like what is traditionally available via the POS file format
-        self.xyz: List[float] = []
-        self.m_z: List[float] = []
-
-        # synthesizing realistic datasets for atom probe tomography
-        # would require a physical model of the field evaporation process,
-        # a model of the detector, and the reconstruction and ranging algorithms.
-        # A cutting edge view of such simulations is described here
-        # https://arxiv.org/abs/2209.05997, this demands very costly HPC computing
-        # As this goes beyond what is numerically feasible, strong assumptions are made:
-        # we are interested in having positions on a grid (real specimen geometry)
-        #     details do not matter, positions are assumed exact without noise
-        # reflect that signal comes from elementary and molecular ions
-        #     details do not matter but sample from the entire periodic table
-        # we wish to have a histogram of mass-to-charge-state ratio values
-        # this is called a mass spectrum in the field of atom probe microscopy
-        #     no tails in peaks are modelled as this depends on the pulser, physics
-        #     and is in fact not yet well understood physically for general materials
-
-    def create_reconstructed_positions(self):
-        """Create aggregate of specifically oriented
-
-        crystallographic unit cells and take the positions
-        in this lattice to carve out a portion of the
-        point cloud representing the reconstruction positions."""
-        # https://wiki.fysik.dtu.dk/ase/ase/lattice.html#module-ase.lattice
-        # ase length units in angstroem!
-        # https://wiki.fysik.dtu.dk/ase/ase/units.html#units
-
-        # assumptions:
-        # identity orientation, no periodic boundary conditions
-        print(f"Using the following version of ase {ase.__version__}")
-        xyz = np.asarray(
-            FaceCenteredCubic(
-                directions=CRYSTAL_ORIENTATION,
-                size=RECON_SIZE,
-                symbol="Cu",
-                latticeconstant=RECON_ATOM_SPACING,
-                pbc=(0, 0, 0),
-            ).get_positions(),
-            np.float32,
-        )
-        # Cu will be ignored, only the lattice with positions is relevant
-        centre_of_mass = np.asarray(
-            [np.mean(xyz[:, 0]), np.mean(xyz[:, 1]), np.mean(xyz[:, 2])], np.float32
-        )
-        # print("Centre of mass of ASE lattice is (with coordinates in angstroem)")
-        # print(centre_of_mass)
-        xyz = xyz - centre_of_mass
-        centre_of_mass = np.asarray(
-            [np.mean(xyz[:, 0]), np.mean(xyz[:, 1]), np.mean(xyz[:, 2])], np.float32
-        )
-        # print("Updated centre of mass")
-        # print(centre_of_mass)
-        # axis_aligned_bbox = np.asarray([np.min(xyz[:, 0]), np.max(xyz[:, 0]),
-        #                                 np.min(xyz[:, 1]), np.max(xyz[:, 1]),
-        #                                 np.min(xyz[:, 2]), np.max(xyz[:, 2])])
-        # displace origin
-        origin = centre_of_mass
-        # print("Building a cylinder of radius " + str(RECON_RADIUS * 0.1) + " nm"
-        #       + " and height " + str(RECON_HEIGHT * 0.1) + " nm")
-        mask = None
-        mask = xyz[:, 2] <= (origin[2] + 0.5 * RECON_HEIGHT)
-        mask &= xyz[:, 2] >= (origin[2] - 0.5 * RECON_HEIGHT)
-        mask &= (
-            (xyz[:, 0] - origin[0]) ** 2 + (xyz[:, 1] - origin[1]) ** 2
-        ) <= RECON_RADIUS**2
-        self.xyz = xyz[mask]
-        shift = [0.0, 0.0, 0.5 * RECON_HEIGHT]
-        for idx in np.arange(0, 3):
-            self.xyz[:, idx] += shift[idx]
-        self.xyz *= 0.1  # from angstroem to nm
-        print("Created a geometry for a reconstructed dataset, shape is")
-        print(np.shape(self.xyz))
-        # self.aabb3d = np.asarray([np.min(self.xyz[:, 0]), np.max(self.xyz[:, 0]),
-        #                           np.min(self.xyz[:, 1]), np.max(self.xyz[:, 1]),
-        #                           np.min(self.xyz[:, 2]), np.max(self.xyz[:, 2])])
-
-    def place_atoms_from_periodic_table(self):
-        """Sample elements from the periodic table
-
-        create (hypothetical) charged molecular ions from them
-        and evaluate their mass-to-charge-state ratio to be used
-        as values in the example dataset."""
-
-        # uniform random model for how many different ions
-        # !! warning: for real world datasets this depends on real specimen composition
-        self.n_components = int(np.random.uniform(low=1, high=MAX_COMPONENTS))
-        # print("Number of ions in the composition is " + str(self.n_components))
-
-        # power law model for multiplicity of molecular ions
-        # !! warning: for real world datasets depends on evaporation physics
-        self.n_ivec = np.asarray(
-            np.linspace(1, MAX_ATOMS, num=MAX_ATOMS, endpoint=True), np.float64
-        )
-        accept_reject = MULTIPLES_FACTOR**self.n_ivec
-        accept_reject = np.cumsum(accept_reject) / np.sum(accept_reject)
-        unifrnd = np.random.uniform(low=0.0, high=1.0, size=(self.n_components,))
-        self.multiplicity = np.ones((self.n_components,))
-        for idx in np.arange(0, len(accept_reject) - 1):
-            mask = unifrnd[:] >= accept_reject[idx]
-            mask &= unifrnd[:] < accept_reject[idx + 1]
-            self.multiplicity[mask] = self.n_ivec[idx]
-        self.multiplicity = np.asarray(self.multiplicity, np.uint32)
-
-        # uniform model for distribution of charge states
-        # !! warning: for real world datasets actual ion charge depends
-        # on (evaporation) physics, very complicated in fact a topic of current research
-        self.charge_state = np.asarray(
-            np.random.uniform(low=1, high=MAX_CHARGE_STATE, size=(self.n_components,)),
-            np.uint32,
-        )
-
-        # compose for each component randomly sampled hypothetical molecular ions
-        # uniform random model which elements to pick from periodic table of elements
-        # !! warning: for real world datasets molecular ions found research dependant
-        # !! often research in many groups is strongly focused on specific
-        # materials and abundance, toxic nature of some elements forbids
-        # experiments with these, like Plutonium or, also reason for synthetic data
-        value_to_pse_symbol_lookup = {}
-        for key, val in atomic_numbers.items():
-            if key != "X":
-                value_to_pse_symbol_lookup[val] = key
-
-        composition = []  # list of tuples, one for each composition
-        for idx in np.arange(0, self.n_components):
-            isotope_vector = []
-            mass_sum = 0.0
-            # sample atoms for building the ion
-            sampled_elements = np.asarray(
-                np.random.uniform(
-                    low=1, high=MAX_ATOMIC_NUMBER, size=(self.multiplicity[idx],)
-                ),
-                np.uint32,
-            )
-
-            for val in sampled_elements:
-                symbol = value_to_pse_symbol_lookup[val]
-                isotope_vector.append(symbol)
-                mass_sum += atomic_masses[atomic_numbers[symbol]]
-
-            composition.append(
-                (
-                    isotope_vector,
-                    self.charge_state[idx],
-                    mass_sum / self.charge_state[idx],
-                    np.float64(np.random.uniform(low=1, high=100)),
-                )
-            )
-
-        weighting_factor_sum = 0.0
-        for idx in np.arange(0, self.n_components):
-            weighting_factor_sum += composition[idx][3]
-
-        # normalize all compositions
-        # (weighting_factor_sum)
-        self.nrm_composition = []
-        # print(composition)
-        for idx in np.arange(0, self.n_components):
-            self.nrm_composition.append(
-                (
-                    composition[idx][0],
-                    composition[idx][1],
-                    composition[idx][2],
-                    composition[idx][3] / weighting_factor_sum,
-                )
-            )
-
-        self.nrm_composition.sort(key=lambda a: a[3])  # sort asc. for composition
-        accept_reject = [0.0]
-        for idx in self.nrm_composition:
-            accept_reject.append(idx[3])
-        accept_reject = np.cumsum(accept_reject)
-        assert (
-            self.xyz != []
-        ), "self.xyz must not be an empty dataset, create a geometry first!"
-        # print("Accept/reject sampling m/q values for "
-        #       + str(np.shape(self.xyz)[0]) + " ions")
-
-        unifrnd = np.random.uniform(low=0.0, high=1.0, size=(np.shape(self.xyz)[0],))
-        self.m_z = np.empty((np.shape(self.xyz)[0],))
-        self.m_z[:] = np.nan
-        for idx in np.arange(0, len(accept_reject) - 1):
-            mask = unifrnd[:] >= accept_reject[idx]
-            mask &= unifrnd[:] < accept_reject[idx + 1]
-            self.m_z[mask] = self.nrm_composition[idx][2]
-            # print(self.nrm_composition[idx])
-            # print(np.sum(mask) / np.shape(self.xyz)[0])
-        # print(np.shape(self.m_z))
-        # assert np.sum(self.m_z == np.nan) == 0, "Not all m/q values defined!"
-
-    def composition_to_ranging_definitions(self, template: dict) -> dict:
-        """Create ranging definitions based on composition."""
-        assert len(self.nrm_composition) > 0, "Composition is not defined!"
-        trg = f"/ENTRY[entry{self.entry_id}]/atom_probe/ranging/"
-        template[f"{trg}PROGRAM[program1]/program"] = NX_APM_EXEC_NAME
-        template[f"{trg}PROGRAM[program1]/program/@version"] = NX_APM_EXEC_VERSION
-
-        trg = f"/ENTRY[entry{self.entry_id}]/atom_probe/ranging/peak_identification/"
-        template[f"{trg}PROGRAM[program1]/program"] = "synthetic"
-        template[f"{trg}PROGRAM[program1]/program/@version"] = "synthetic data"
-
-        add_unknown_iontype(template, self.entry_id)
-
-        ion_id = 1
-        for tpl in self.nrm_composition:
-            path = f"{trg}ION[ion{ion_id}]/"
-            ivec = create_isotope_vector(tpl[0])
-            template[f"{path}isotope_vector"] = np.reshape(
-                np.asarray(ivec, np.uint16), (1, MAX_NUMBER_OF_ATOMS_PER_ION)
-            )
-            # template[path + "isotope_vector/@units"] = ""
-            template[f"{path}charge_state"] = np.int8(tpl[1])
-            template[f"{path}mass_to_charge_range"] = np.reshape(
-                np.asarray([tpl[2], tpl[2] + MQ_EPSILON], np.float32), (1, 2)
-            )
-            template[f"{path}mass_to_charge_range/@units"] = "Da"
-            nuclid_list = np.zeros([2, 32], np.uint16)
-            nuclid_list = isotope_vector_to_nuclid_list(ivec)
-            template[f"{path}nuclid_list"] = np.asarray(nuclid_list, np.uint16)
-            template[path + "name"] = isotope_vector_to_human_readable_name(
-                ivec, tpl[1]
-            )
-            ion_id += 1
-
-        trg = f"/ENTRY[entry{self.entry_id}]/atom_probe/ranging/"
-        template[f"{trg}number_of_ion_types"] = np.uint32(ion_id)
-        template[f"{trg}maximum_number_of_atoms_per_molecular_ion"] = np.uint32(32)
-
-        return template
-
-    def emulate_entry(self, template: dict) -> dict:
-        """Copy data in entry section."""
-        # check if required fields exists and are valid
-        # print("Parsing entry...")
-        trg = f"/ENTRY[entry{self.entry_id}]/"
-        template[f"{trg}definition"] = NX_APM_ADEF_NAME
-        template[f"{trg}@version"] = NX_APM_ADEF_VERSION
-        template[f"{trg}PROGRAM[program1]/program"] = NX_APM_EXEC_NAME
-        template[f"{trg}PROGRAM[program1]/program/@version"] = NX_APM_EXEC_VERSION
-        template[f"{trg}start_time"] = datetime.datetime.now().astimezone().isoformat()
-        template[f"{trg}end_time"] = datetime.datetime.now().astimezone().isoformat()
-        msg = """
-              WARNING: These are mocked data !!
-              They are meant to be used exclusively
-              for verifying NOMAD search capabilities.
-              """
-        template[f"{trg}experiment_description"] = msg
-        experiment_identifier = str(
-            f"R{np.random.choice(100, 1)[0]}-{np.random.choice(100000, 1)[0]}"
-        )
-        template[f"{trg}experiment_identifier"] = experiment_identifier
-        template[f"{trg}run_number"] = experiment_identifier.split("-")[1]
-        template[f"{trg}operation_mode"] = str(
-            np.random.choice(["apt", "fim", "apt_fim"], 1)[0]
-        )
-        return template
-
-    def emulate_user(self, template: dict) -> dict:
-        """Copy data in user section."""
-        # check if required fields exists and are valid
-        # print("Parsing user...")
-        prefix = f"/ENTRY[entry{self.entry_id}]/"
-        user_names = np.unique(
-            np.random.choice(
-                [
-                    "Sherjeel",
-                    "MarkusK",
-                    "Dierk",
-                    "Baptiste",
-                    "Alexander",
-                    "Lorenz",
-                    "Sophie",
-                    "Stefan",
-                    "Katharina",
-                    "Florian",
-                    "Daniel",
-                    "Sandor",
-                    "Carola",
-                    "Andrea",
-                    "Hampus",
-                    "Pepe",
-                    "Lauri",
-                    "MarkusS",
-                    "Christoph",
-                    "Claudia",
-                ],
-                1 + np.random.choice(MAX_USERS, 1),
-            )
-        )
-        user_id = 1
-        for name in user_names:
-            trg = f"{prefix}USER[user{user_id}]/"
-            template[f"{trg}name"] = str(name)
-            user_id += 1
-        return template
-
-    def emulate_specimen(self, template: dict) -> dict:
-        """Copy data in specimen section."""
-        # check if required fields exists and are valid
-        # print("Parsing specimen...")
-        trg = f"/ENTRY[entry{self.entry_id}]/specimen/"
-        assert len(self.nrm_composition) > 0, "Composition list is empty!"
-        unique_elements = set()
-        for tpl in self.nrm_composition:
-            symbol_lst = tpl[0]
-            for symbol in symbol_lst:
-                assert isinstance(symbol, str), "symbol is not a string!"
-                if (symbol in chemical_symbols) & (symbol != "X"):
-                    unique_elements.add(str(symbol))
-        print(f"Unique elements are: {list(unique_elements)}")
-        template[f"{trg}atom_types"] = ", ".join(list(unique_elements))
-
-        specimen_name = str(
-            f"Mocked atom probe specimen {np.random.choice(1000, 1)[0]}"
-        )
-        template[f"{trg}name"] = specimen_name
-        template[f"{trg}sample_history"] = "n/a"
-        template[f"{trg}preparation_date"] = (
-            datetime.datetime.now().astimezone().isoformat()
-        )
-        template[f"{trg}short_title"] = specimen_name.replace(
-            "Mocked atom probe specimen ", ""
-        )
-        template[f"{trg}description"] = "n/a"
-        return template
-
-    def emulate_control_software(self, template: dict) -> dict:
-        """Copy data in control software section."""
-        # print("Parsing control software...")
-        trg = f"/ENTRY[entry{self.entry_id}]/atom_probe/control_software/"
-        template[f"{trg}PROGRAM[program1]/program"] = "IVAS"
-        template[f"{trg}PROGRAM[program1]/program/@version"] = str(
-            f"3.{np.random.choice(9, 1)[0]}.{np.random.choice(9, 1)[0]}"
-        )
-        return template
-
-    def emulate_instrument_header(self, template: dict) -> dict:
-        """Copy data in instrument_header section."""
-        # check if required fields exists and are valid
-        # print("Parsing instrument header...")
-        trg = f"/ENTRY[entry{self.entry_id}]/atom_probe/"
-        template[f"{trg}instrument_name"] = str(
-            f"test instrument {np.random.choice(100, 1)[0]}"
-        )
-        template[f"{trg}flight_path_length"] = np.float64(
-            np.random.normal(loc=1.0, scale=0.05)
-        )
-        template[f"{trg}flight_path_length/@units"] = "m"
-        return template
-
-    def emulate_fabrication(self, template: dict) -> dict:
-        """Copy data in fabrication section."""
-        # print("Parsing fabrication...")
-        trg = f"/ENTRY[entry{self.entry_id}]/atom_probe/FABRICATION[fabrication]/"
-        template[f"{trg}vendor"] = str(
-            np.random.choice(["AMETEK/Cameca", "customized"], 1)[0]
-        )
-        template[f"{trg}model"] = str(
-            np.random.choice(
-                [
-                    "LEAP3000",
-                    "LEAP4000",
-                    "LEAP5000",
-                    "LEAP6000",
-                    "OxCart",
-                    "MTAP",
-                    "FIM",
-                ],
-                1,
-            )[0]
-        )
-        template[f"{trg}identifier"] = str(
-            hashlib.sha256("IVAS".encode("utf-8")).hexdigest()
-        )
-        # template[f"{trg}capabilities"] = ""
-        return template
-
-    def emulate_analysis_chamber(self, template: dict) -> dict:
-        """Copy data in analysis_chamber section."""
-        # print("Parsing analysis chamber...")
-        trg = f"/ENTRY[entry{self.entry_id}]/atom_probe/analysis_chamber/"
-        template[f"{trg}pressure"] = np.float64(
-            np.random.normal(loc=1.0e-10, scale=0.2e-11)
-        )
-        template[f"{trg}pressure/@units"] = "torr"
-        return template
-
-    def emulate_reflectron(self, template: dict) -> dict:
-        """Copy data in reflectron section."""
-        # print("Parsing reflectron...")
-        trg = f"/ENTRY[entry{self.entry_id}]/atom_probe/REFLECTRON[reflectron]/"
-        template[f"{trg}applied"] = bool(np.random.choice([0, 1], 1)[0])
-        return template
-
-    def emulate_local_electrode(self, template: dict) -> dict:
-        """Copy data in local_electrode section."""
-        # print("Parsing local electrode...")
-        trg = f"/ENTRY[entry{self.entry_id}]/atom_probe/local_electrode/"
-        template[f"{trg}name"] = str(f"electrode {np.random.choice(1000, 1)[0]}")
-        return template
-
-    def emulate_detector(self, template: dict) -> dict:
-        """Copy data in ion_detector section."""
-        # print("Parsing detector...")
-        trg = f"/ENTRY[entry{self.entry_id}]/atom_probe/ion_detector/"
-        detector_model_type = str(np.random.choice(["cameca", "mcp", "custom"], 1)[0])
-        template[f"{trg}type"] = detector_model_type
-        template[f"{trg}name"] = detector_model_type
-        template[f"{trg}model"] = detector_model_type
-        template[f"{trg}serial_number"] = hashlib.sha256(
-            detector_model_type.encode("utf-8")
-        ).hexdigest()
-        return template
-
-    def emulate_stage_lab(self, template: dict) -> dict:
-        """Copy data in stage lab section."""
-        # print("Parsing stage lab...")
-        trg = f"/ENTRY[entry{self.entry_id}]/atom_probe/stage_lab/"
-        template[f"{trg}base_temperature"] = np.float64(10 + np.random.choice(50, 1)[0])
-        template[f"{trg}base_temperature/@units"] = "K"
-        return template
-
-    def emulate_specimen_monitoring(self, template: dict) -> dict:
-        """Copy data in specimen_monitoring section."""
-        # print("Parsing specimen monitoring...")
-        trg = f"/ENTRY[entry{self.entry_id}]/atom_probe/specimen_monitoring/"
-        eta = np.min((np.random.normal(loc=0.6, scale=0.1), 1.0))
-        template[f"{trg}detection_rate"] = np.float64(eta)
-        template[f"{trg}initial_radius"] = np.float64(RECON_RADIUS * 0.1)
-        template[f"{trg}initial_radius/@units"] = "nm"
-        template[f"{trg}shank_angle"] = np.float64(0.0)  # = np.random.choice(10, 1)[0]
-        template[f"{trg}shank_angle/@units"] = "degree"
-        return template
-
-    def emulate_pulser(self, template: dict) -> dict:
-        """Copy data in pulser section."""
-        # print("Parsing pulser...")
-        trg = f"/ENTRY[entry{self.entry_id}]/atom_probe/pulser/"
-        pulse_mode = str(
-            np.random.choice(["laser", "voltage", "laser_and_voltage"], 1)[0]
-        )
-        template[f"{trg}pulse_mode"] = pulse_mode
-        template[f"{trg}pulse_fraction"] = np.float64(
-            np.random.normal(loc=0.1, scale=0.02)
-        )
-        template[f"{trg}pulse_frequency"] = np.float64(
-            np.random.normal(loc=250, scale=10)
-        )
-        template[f"{trg}pulse_frequency/@units"] = "kHz"
-        if pulse_mode != "voltage":
-            trg = (
-                f"/ENTRY[entry{self.entry_id}]/atom_probe/pulser/SOURCE[laser_source1]/"
-            )
-            template[f"{trg}name"] = "laser"
-            template[f"{trg}wavelength"] = np.float64(
-                (30 + np.random.choice(30, 1)) * 1.0e-8
-            )
-            template[f"{trg}wavelength/@units"] = "m"
-            template[f"{trg}pulse_energy"] = np.float64(
-                np.random.normal(loc=1.2e-11, scale=0.2e-12)
-            )
-            template[f"{trg}pulse_energy/@units"] = "J"
-            template[f"{trg}power"] = np.float64(
-                np.random.normal(loc=2.0e-8, scale=0.2e-9)
-            )
-            template[f"{trg}power/@units"] = "W"
-        return template
-
-    def emulate_reconstruction(self, template: dict) -> dict:
-        """Copy data in reconstruction section."""
-        # print("Parsing reconstruction...")
-        trg = f"/ENTRY[entry{self.entry_id}]/atom_probe/reconstruction/"
-        src = f"/ENTRY[entry{self.entry_id}]/atom_probe/control_software/"
-        template[f"{trg}PROGRAM[program1]/program"] = template[
-            f"{src}PROGRAM[program1]/program"
-        ]
-        template[f"{trg}PROGRAM[program1]/program/@version"] = template[
-            f"{src}PROGRAM[program1]/program/@version"
-        ]
-        template[f"{trg}protocol_name"] = str(
-            np.random.choice(["bas", "geiser", "gault", "cameca", "other"], 1)[0]
-        )
-        template[f"{trg}parameter"] = "n/a"
-        template[f"{trg}crystallographic_calibration"] = "n/a"
-        return template
-
-    def emulate_ranging(self, template: dict) -> dict:
-        """Copy data in ranging section."""
-        # print("Parsing ranging...")
-        trg = f"/ENTRY[entry{self.entry_id}]/atom_probe/ranging/"
-        src = f"/ENTRY[entry{self.entry_id}]/atom_probe/control_software/"
-        template[f"{trg}PROGRAM[program1]/program"] = template[
-            f"{src}PROGRAM[program1]/program"
-        ]
-        template[f"{trg}PROGRAM[program1]/program/@version"] = template[
-            f"{src}PROGRAM[program1]/program/@version"
-        ]
-        return template
-
-    def emulate_random_input_from_eln(self, template: dict) -> dict:
-        """Emulate random input as could come from an ELN."""
-        self.emulate_entry(template)
-        self.emulate_user(template)
-        self.emulate_specimen(template)
-
-        self.emulate_control_software(template)
-        # above call will set program and program/@version used later
-
-        self.emulate_instrument_header(template)
-        self.emulate_fabrication(template)
-        self.emulate_analysis_chamber(template)
-        self.emulate_reflectron(template)
-        self.emulate_local_electrode(template)
-        self.emulate_detector(template)
-        self.emulate_stage_lab(template)
-        self.emulate_specimen_monitoring(template)
-
-        self.emulate_pulser(template)
-        self.emulate_reconstruction(template)
-        self.emulate_ranging(template)
-
-        template[f"/ENTRY[entry{self.entry_id}]/atom_probe/status"] = "success"
-
-        return template
-
-    def synthesize(self, template: dict) -> dict:
-        """Hand-over instantiated dataset to dataconverter template."""
-        # heavy data, synthetic/mocked dataset
-        for entry_id in np.arange(1, self.n_entries + 1):
-            self.entry_id = entry_id
-            print(f"Generating entry {self.entry_id}...")
-
-            self.xyz = []
-            self.m_z = []
-            self.create_reconstructed_positions()
-            self.place_atoms_from_periodic_table()
-            self.composition_to_ranging_definitions(template)
-
-            # metadata
-            self.emulate_random_input_from_eln(template)
-
-            # heavy numerical data, here the synthesized "measurement" data
-            prefix = f"/ENTRY[entry{self.entry_id}]/atom_probe/"
-            trg = f"{prefix}reconstruction/"
-            template[f"{trg}reconstructed_positions"] = {
-                "compress": np.asarray(self.xyz, np.float32),
-                "strength": 1,
-            }
-            template[f"{trg}reconstructed_positions/@units"] = "nm"
-
-            trg = f"{prefix}mass_to_charge_conversion/"
-            template[f"{trg}mass_to_charge"] = {
-                "compress": np.asarray(self.m_z, np.float32),
-                "strength": 1,
-            }
-            template[f"{trg}mass_to_charge/@units"] = "Da"
-
-        return template
diff --git a/pynxtools/dataconverter/readers/apm/utils/apm_load_deployment_specifics.py b/pynxtools/dataconverter/readers/apm/utils/apm_load_deployment_specifics.py
deleted file mode 100644
index 64807e2dd..000000000
--- a/pynxtools/dataconverter/readers/apm/utils/apm_load_deployment_specifics.py
+++ /dev/null
@@ -1,64 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Load deployment-specific quantities."""
-
-# pylint: disable=no-member
-
-import flatdict as fd
-
-import yaml
-
-from pynxtools.dataconverter.readers.apm.map_concepts.apm_deployment_specifics_to_nx_map import (
-    NxApmDeploymentSpecificInput,
-)
-
-from pynxtools.dataconverter.readers.shared.map_concepts.mapping_functors import (
-    apply_modifier,
-    variadic_path_to_specific_path,
-)
-
-
-class NxApmNomadOasisConfigurationParser:  # pylint: disable=too-few-public-methods
-    """Parse deployment specific configuration."""
-
-    def __init__(self, file_name: str, entry_id: int):
-        print(
-            f"Extracting data from deployment specific configuration file: {file_name}"
-        )
-        if (
-            file_name.rsplit("/", 1)[-1].endswith(".oasis.specific.yaml")
-            or file_name.endswith(".oasis.specific.yml")
-        ) and entry_id > 0:
-            self.entry_id = entry_id
-            self.file_name = file_name
-            with open(self.file_name, "r", encoding="utf-8") as stream:
-                self.yml = fd.FlatDict(yaml.safe_load(stream), delimiter="/")
-        else:
-            self.entry_id = 1
-            self.file_name = ""
-            self.yml = {}
-
-    def report(self, template: dict) -> dict:
-        """Copy data from configuration applying mapping functors."""
-        for nx_path, modifier in NxApmDeploymentSpecificInput.items():
-            if nx_path not in ("IGNORE", "UNCLEAR"):
-                trg = variadic_path_to_specific_path(nx_path, [self.entry_id, 1])
-                res = apply_modifier(modifier, self.yml)
-                if res is not None:
-                    template[trg] = res
-        return template
diff --git a/pynxtools/dataconverter/readers/apm/utils/apm_load_generic_eln.py b/pynxtools/dataconverter/readers/apm/utils/apm_load_generic_eln.py
deleted file mode 100644
index ec5b0fc0e..000000000
--- a/pynxtools/dataconverter/readers/apm/utils/apm_load_generic_eln.py
+++ /dev/null
@@ -1,198 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Wrapping multiple parsers for vendor files with NOMAD OASIS/ELN/YAML metadata."""
-
-# pylint: disable=no-member,duplicate-code,too-many-nested-blocks
-
-import flatdict as fd
-
-import yaml
-
-from ase.data import chemical_symbols
-
-from pynxtools.dataconverter.readers.apm.map_concepts.apm_eln_to_nx_map import (
-    NxApmElnInput,
-    NxUserFromListOfDict,
-)
-
-from pynxtools.dataconverter.readers.shared.map_concepts.mapping_functors import (
-    variadic_path_to_specific_path,
-    apply_modifier,
-)
-
-from pynxtools.dataconverter.readers.apm.utils.apm_parse_composition_table import (
-    parse_composition_table,
-)
-
-
-class NxApmNomadOasisElnSchemaParser:  # pylint: disable=too-few-public-methods
-    """Parse eln_data.yaml dump file content generated from a NOMAD OASIS YAML.
-
-    This parser implements a design where an instance of a specific NOMAD
-    custom schema ELN template is used to fill pieces of information which
-    are typically not contained in files from technology partners
-    (e.g. pos, epos, apt, rng, rrng, ...). Until now, this custom schema and
-    the NXapm application definition do not use a fully harmonized vocabulary.
-    Therefore, the here hardcoded implementation is needed which maps specifically
-    named pieces of information from the custom schema instance on named fields
-    in an instance of NXapm
-
-    The functionalities in this ELN YAML parser do not check if the
-    instantiated template yields an instance which is compliant NXapm.
-    Instead, this task is handled by the generic part of the dataconverter
-    during the verification of the template dictionary.
-    """
-
-    def __init__(self, file_name: str, entry_id: int):
-        print(f"Extracting data from ELN file: {file_name}")
-        if (
-            file_name.rsplit("/", 1)[-1].startswith("eln_data")
-            or file_name.startswith("eln_data")
-        ) and entry_id > 0:
-            self.entry_id = entry_id
-            self.file_name = file_name
-            with open(self.file_name, "r", encoding="utf-8") as stream:
-                self.yml = fd.FlatDict(yaml.safe_load(stream), delimiter="/")
-        else:
-            self.entry_id = 1
-            self.file_name = ""
-            self.yml = {}
-
-    def parse_sample_composition(self, template: dict) -> dict:
-        """Interpret human-readable ELN input to generate consistent composition table."""
-        src = "sample/composition"
-        if src in self.yml.keys():
-            if isinstance(self.yml[src], list):
-                dct = parse_composition_table(self.yml[src])
-
-                prfx = (
-                    f"/ENTRY[entry{self.entry_id}]/sample/"
-                    f"CHEMICAL_COMPOSITION[chemical_composition]"
-                )
-                unit = "at.-%"  # the assumed default unit
-                if "normalization" in dct:
-                    if dct["normalization"] in [
-                        "%",
-                        "at%",
-                        "at-%",
-                        "at.-%",
-                        "ppm",
-                        "ppb",
-                    ]:
-                        unit = "at.-%"
-                        template[f"{prfx}/normalization"] = "atom_percent"
-                    elif dct["normalization"] in ["wt%", "wt-%", "wt.-%"]:
-                        unit = "wt.-%"
-                        template[f"{prfx}/normalization"] = "weight_percent"
-                    else:
-                        return template
-                ion_id = 1
-                for symbol in chemical_symbols[1::]:
-                    # ase convention, chemical_symbols[0] == "X"
-                    # to use ordinal number for indexing
-                    if symbol in dct:
-                        if isinstance(dct[symbol], tuple) and len(dct[symbol]) == 2:
-                            trg = f"{prfx}/ION[ion{ion_id}]"
-                            template[f"{trg}/name"] = symbol
-                            template[f"{trg}/composition"] = dct[symbol][0]
-                            template[f"{trg}/composition/@units"] = unit
-                            if dct[symbol][1] is not None:
-                                template[f"{trg}/composition_error"] = dct[symbol][1]
-                                template[f"{trg}/composition_error/@units"] = unit
-                            ion_id += 1
-        return template
-
-    def parse_user_section(self, template: dict) -> dict:
-        """Copy data from user section into template."""
-        src = "user"
-        if src in self.yml.keys():
-            if isinstance(self.yml[src], list):
-                if all(isinstance(entry, dict) for entry in self.yml[src]) is True:
-                    user_id = 1
-                    # custom schema delivers a list of dictionaries...
-                    for user_dict in self.yml[src]:
-                        # ... for each of them inspect for fields mappable on NeXus
-                        identifier = [self.entry_id, user_id]
-                        # identifier to get instance NeXus path from variadic NeXus path
-                        # try to find all quantities on the left-hand side of the mapping
-                        # table and check if we can find these
-                        for nx_path, modifier in NxUserFromListOfDict.items():
-                            if nx_path not in ("IGNORE", "UNCLEAR"):
-                                trg = variadic_path_to_specific_path(
-                                    nx_path, identifier
-                                )
-                                res = apply_modifier(modifier, user_dict)
-                                if res is not None:
-                                    template[trg] = res
-                        user_id += 1
-        return template
-
-    def parse_laser_pulser_details(self, template: dict) -> dict:
-        """Copy data in pulser section."""
-        # additional laser-specific details only relevant when the laser was used
-        src = "atom_probe/pulser/pulse_mode"
-        if src in self.yml.keys():
-            if self.yml[src] == "voltage":
-                return template
-        else:
-            return template
-        src = "atom_probe/pulser/laser_source"
-        if src in self.yml.keys():
-            if isinstance(self.yml[src], list):
-                if all(isinstance(entry, dict) for entry in self.yml[src]) is True:
-                    laser_id = 1
-                    # custom schema delivers a list of dictionaries...
-                    trg = (
-                        f"/ENTRY[entry{self.entry_id}]/atom_probe/pulser"
-                        f"/SOURCE[source{laser_id}]"
-                    )
-                    for laser_dict in self.yml[src]:
-                        if "name" in laser_dict.keys():
-                            template[f"{trg}/name"] = laser_dict["name"]
-                        quantities = ["power", "pulse_energy", "wavelength"]
-                        for quant in quantities:
-                            if isinstance(laser_dict[quant], dict):
-                                if ("value" in laser_dict[quant].keys()) and (
-                                    "unit" in laser_dict[quant].keys()
-                                ):
-                                    template[f"{trg}/{quant}"] = laser_dict[quant][
-                                        "value"
-                                    ]
-                                    template[f"{trg}/{quant}/@units"] = laser_dict[
-                                        quant
-                                    ]["unit"]
-                        laser_id += 1
-        return template
-
-    def parse_other_sections(self, template: dict) -> dict:
-        """Copy data from custom schema into template."""
-        for nx_path, modifier in NxApmElnInput.items():
-            if nx_path not in ("IGNORE", "UNCLEAR"):
-                trg = variadic_path_to_specific_path(nx_path, [self.entry_id, 1])
-                res = apply_modifier(modifier, self.yml)
-                if res is not None:
-                    template[trg] = res
-        return template
-
-    def report(self, template: dict) -> dict:
-        """Copy data from self into template the appdef instance."""
-        self.parse_sample_composition(template)
-        self.parse_user_section(template)
-        self.parse_laser_pulser_details(template)
-        self.parse_other_sections(template)
-        return template
diff --git a/pynxtools/dataconverter/readers/apm/utils/apm_load_ranging.py b/pynxtools/dataconverter/readers/apm/utils/apm_load_ranging.py
deleted file mode 100644
index 7cf345ca6..000000000
--- a/pynxtools/dataconverter/readers/apm/utils/apm_load_ranging.py
+++ /dev/null
@@ -1,297 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Wrapping multiple parsers for vendor files with ranging definition files."""
-
-# pylint: disable=no-member
-
-from typing import Dict, Any
-
-import numpy as np
-
-from ase.data import chemical_symbols
-# ase encodes the zeroth entry as the unknown element X to have
-# atom_numbers all starting with 1 up to len(chemical_symbols) - 1
-
-from ifes_apt_tc_data_modeling.utils.utils import (
-    create_isotope_vector,
-    isotope_vector_to_nuclid_list,
-    isotope_vector_to_human_readable_name,
-)
-
-from ifes_apt_tc_data_modeling.utils.definitions import (
-    MAX_NUMBER_OF_ATOMS_PER_ION,
-    MQ_EPSILON,
-)
-
-from ifes_apt_tc_data_modeling.rng.rng_reader import ReadRngFileFormat
-
-from ifes_apt_tc_data_modeling.rrng.rrng_reader import ReadRrngFileFormat
-
-from ifes_apt_tc_data_modeling.fig.fig_reader import ReadFigTxtFileFormat
-
-from pynxtools.dataconverter.readers.apm.utils.apm_versioning import (
-    NX_APM_EXEC_NAME,
-    NX_APM_EXEC_VERSION,
-)
-
-
-def add_unknown_iontype(template: dict, entry_id: int) -> dict:
-    """Add default unknown iontype."""
-    # all unidentifiable ions are mapped on the unknown type
-    trg = (
-        f"/ENTRY[entry{entry_id}]/atom_probe/ranging/" f"peak_identification/ION[ion0]/"
-    )
-    ivec = create_isotope_vector([])
-    template[f"{trg}isotope_vector"] = np.reshape(
-        np.asarray(ivec, np.uint16), (1, MAX_NUMBER_OF_ATOMS_PER_ION)
-    )
-    template[f"{trg}charge_state"] = np.int8(0)
-    template[f"{trg}mass_to_charge_range"] = np.reshape(
-        np.asarray([0.0, MQ_EPSILON], np.float32), (1, 2)
-    )
-    template[f"{trg}mass_to_charge_range/@units"] = "Da"
-    nuclid_list = isotope_vector_to_nuclid_list(ivec)
-    template[f"{trg}nuclid_list"] = np.asarray(nuclid_list, np.uint16)
-    template[f"{trg}name"] = isotope_vector_to_human_readable_name(ivec, 0)
-
-    return template
-
-
-def add_standardize_molecular_ions(
-    ion_lst: list, template: dict, entry_id: int
-) -> dict:
-    """Added standard formatted molecular ion entries."""
-    ion_id = 1
-    trg = f"/ENTRY[entry{entry_id}]/atom_probe/ranging/peak_identification/"
-    for ion in ion_lst:
-        path = f"{trg}ION[ion{ion_id}]/"
-
-        template[f"{path}isotope_vector"] = np.reshape(
-            np.asarray(ion.isotope_vector.typed_value, np.uint16),
-            (1, MAX_NUMBER_OF_ATOMS_PER_ION),
-        )
-        template[f"{path}charge_state"] = np.int8(ion.charge_state.typed_value)
-        template[f"{path}mass_to_charge_range"] = np.array(
-            ion.ranges.typed_value, np.float32
-        )
-        template[f"{path}mass_to_charge_range/@units"] = "Da"  # ion.ranges.unit
-        template[f"{path}nuclid_list"] = ion.nuclid_list.typed_value
-        template[f"{path}name"] = ion.name.typed_value
-
-        path = f"{trg}ION[ion{ion_id}]/charge_state_model/"
-        template[f"{path}min_abundance"] = np.float64(
-            ion.charge_state_model["min_abundance"]
-        )
-        template[f"{path}min_abundance_product"] = np.float64(
-            ion.charge_state_model["min_abundance_product"]
-        )
-        template[f"{path}min_half_life"] = np.float64(
-            ion.charge_state_model["min_half_life"]
-        )
-        template[f"{path}min_half_life/@units"] = "s"
-        template[f"{path}sacrifice_isotopic_uniqueness"] = np.uint8(
-            ion.charge_state_model["sacrifice_isotopic_uniqueness"]
-        )
-        template[f"{path}isotope_matrix"] = {
-            "compress": np.array(ion.charge_state_model["isotope_matrix"], np.uint16),
-            "strength": 1,
-        }
-        template[f"{path}charge_state_vector"] = {
-            "compress": np.array(
-                ion.charge_state_model["charge_state_vector"], np.int8
-            ),
-            "strength": 1,
-        }
-        template[f"{path}mass_vector"] = {
-            "compress": np.array(ion.charge_state_model["mass_vector"], np.float64),
-            "strength": 1,
-        }
-        template[f"{path}mass_vector/@units"] = "u"
-        template[f"{path}natural_abundance_product_vector"] = {
-            "compress": np.array(
-                ion.charge_state_model["nat_abun_prod_vector"], np.float64
-            ),
-            "strength": 1,
-        }
-        template[f"{path}min_half_life_vector"] = {
-            "compress": np.array(
-                ion.charge_state_model["min_half_life_vector"], np.float64
-            ),
-            "strength": 1,
-        }
-        template[f"{path}min_half_life_vector/@units"] = "s"
-
-        ion_id += 1
-
-    trg = f"/ENTRY[entry{entry_id}]/atom_probe/ranging/"
-    template[f"{trg}number_of_ion_types"] = np.uint32(ion_id)
-
-    return template
-
-
-def extract_data_from_rng_file(file_name: str, template: dict, entry_id: int) -> dict:
-    """Add those required information which an RNG file has."""
-    # modify the template to take into account ranging
-    # ranging is currently not resolved recursively because
-    # ranging(NXprocess) is a group which has a minOccurs=1, \
-    #     maxOccurs="unbounded" set of possible named
-    # NXion members, same case for more than one operator
-    print(f"Extracting data from RNG file: {file_name}")
-    rangefile = ReadRngFileFormat(file_name)
-
-    # ion indices are on the interval [0, 256)
-    assert (
-        len(rangefile.rng["molecular_ions"]) <= np.iinfo(np.uint8).max + 1
-    ), "Current implementation does not support more than 256 ion types"
-
-    add_standardize_molecular_ions(rangefile.rng["molecular_ions"], template, entry_id)
-
-    return template
-
-
-def extract_data_from_rrng_file(file_name: str, template: dict, entry_id) -> dict:
-    """Add those required information which an RRNG file has."""
-    # modify the template to take into account ranging
-    # ranging is currently not resolved recursively because
-    # ranging(NXprocess) is a group which has a minOccurs=1, \er
-    #     maxOccurs="unbounded" set of possible named
-    # NXion members, same case for more than one operator
-    print(f"Extracting data from RRNG file: {file_name}")
-    rangefile = ReadRrngFileFormat(file_name)
-
-    # ion indices are on the interval [0, 256)
-    assert (
-        len(rangefile.rrng["molecular_ions"]) <= np.iinfo(np.uint8).max + 1
-    ), "Current implementation does not support more than 256 ion types"
-
-    add_standardize_molecular_ions(rangefile.rrng["molecular_ions"], template, entry_id)
-
-    return template
-
-
-def extract_data_from_fig_txt_file(file_name: str, template: dict, entry_id) -> dict:
-    """Add those required information which an transcoded Matlab figure TXT file has."""
-    print(f"Extracting data from FIG.TXT file: {file_name}")
-    rangefile = ReadFigTxtFileFormat(file_name)
-
-    # ion indices are on the interval [0, 256)
-    assert (
-        len(rangefile.fig["molecular_ions"]) <= np.iinfo(np.uint8).max + 1
-    ), "Current implementation does not support more than 256 ion types"
-
-    add_standardize_molecular_ions(rangefile.fig["molecular_ions"], template, entry_id)
-
-    return template
-
-
-class ApmRangingDefinitionsParser:  # pylint: disable=too-few-public-methods
-    """Wrapper for multiple parsers for vendor specific files."""
-
-    def __init__(self, file_name: str, entry_id: int):
-        self.meta: Dict[str, Any] = {}
-        self.meta["file_format"] = "none"
-        self.meta["file_name"] = file_name
-        self.meta["entry_id"] = entry_id
-        index = file_name.lower().rfind(".")
-        if index >= 0:
-            mime_type = file_name.lower()[index + 1 : :]
-            self.meta["file_format"] = mime_type
-
-    def update_atom_types_ranging_definitions_based(self, template: dict) -> dict:
-        """Update the atom_types list in the specimen based on ranging defs."""
-        number_of_ion_types = 1
-        prefix = f"/ENTRY[entry{self.meta['entry_id']}]/atom_probe/ranging/"
-        if f"{prefix}number_of_ion_types" in template.keys():
-            number_of_ion_types = template[f"{prefix}number_of_ion_types"]
-        print(
-            f"Auto-detecting elements from ranging {number_of_ion_types} ion types..."
-        )
-
-        unique_atom_numbers = set()
-        max_atom_number = len(chemical_symbols) - 1
-        prefix = (
-            f"/ENTRY[entry{self.meta['entry_id']}]/atom_probe/"
-            f"ranging/peak_identification/"
-        )
-        for ion_id in np.arange(1, number_of_ion_types):
-            trg = f"{prefix}ION[ion{ion_id}]/nuclid_list"
-            if trg in template.keys():
-                nuclid_list = template[trg][1, :]
-                # second row of NXion/nuclid_list yields atom number to decode element
-                for atom_number in nuclid_list:
-                    if 0 < atom_number <= max_atom_number:
-                        unique_atom_numbers.add(atom_number)
-        print(f"Unique atom numbers are: {list(unique_atom_numbers)}")
-        unique_elements = set()
-        for atom_number in unique_atom_numbers:
-            unique_elements.add(chemical_symbols[atom_number])
-        print(f"Unique elements are: {list(unique_elements)}")
-
-        atom_types_str = ", ".join(list(unique_elements))
-        if atom_types_str != "":
-            trg = f"/ENTRY[entry{self.meta['entry_id']}]/specimen/"
-            template[f"{trg}atom_types"] = atom_types_str
-
-        return template
-
-    def report(self, template: dict) -> dict:
-        """Copy data from self into template the appdef instance.
-
-        Paths in template are prefixed by prefix and have to be compliant
-        with the application definition.
-        """
-        # resolve the next two program references more informatively
-        trg = f"/ENTRY[entry{self.meta['entry_id']}]/atom_probe/ranging/"
-        template[f"{trg}maximum_number_of_atoms_per_molecular_ion"] = np.uint32(32)
-
-        # mass_to_charge_distribution will be filled by default plot
-        # background_quantification data are not available in RNG/RRNG files
-        # peak_search_and_deconvolution data are not available in RNG/RRNG files
-
-        trg = (
-            f"/ENTRY[entry{self.meta['entry_id']}]/atom_probe/"
-            f"ranging/peak_identification/"
-        )
-        template[f"{trg}PROGRAM[program1]/program"] = NX_APM_EXEC_NAME
-        template[f"{trg}PROGRAM[program1]/program/@version"] = NX_APM_EXEC_VERSION
-
-        add_unknown_iontype(template, self.meta["entry_id"])
-
-        if self.meta["file_name"] != "" and self.meta["file_format"] != "none":
-            if self.meta["file_format"] == "rng":
-                extract_data_from_rng_file(
-                    self.meta["file_name"], template, self.meta["entry_id"]
-                )
-            elif self.meta["file_format"] == "rrng":
-                extract_data_from_rrng_file(
-                    self.meta["file_name"], template, self.meta["entry_id"]
-                )
-            elif self.meta["file_format"] == "txt":
-                extract_data_from_fig_txt_file(
-                    self.meta["file_name"], template, self.meta["entry_id"]
-                )
-            else:
-                trg = f"/ENTRY[entry{self.meta['entry_id']}]/atom_probe/ranging/"
-                template[f"{trg}number_of_ion_types"] = 1
-        else:
-            trg = f"/ENTRY[entry{self.meta['entry_id']}]/atom_probe/ranging/"
-            template[f"{trg}number_of_ion_types"] = 1
-
-        self.update_atom_types_ranging_definitions_based(template)
-
-        return template
diff --git a/pynxtools/dataconverter/readers/apm/utils/apm_load_reconstruction.py b/pynxtools/dataconverter/readers/apm/utils/apm_load_reconstruction.py
deleted file mode 100644
index e8027d1b2..000000000
--- a/pynxtools/dataconverter/readers/apm/utils/apm_load_reconstruction.py
+++ /dev/null
@@ -1,192 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Wrapping multiple parsers for vendor files with reconstructed dataset files."""
-
-# pylint: disable=no-member
-
-import numpy as np
-
-from ifes_apt_tc_data_modeling.apt.apt6_reader import ReadAptFileFormat
-
-from ifes_apt_tc_data_modeling.pos.pos_reader import ReadPosFileFormat
-
-from ifes_apt_tc_data_modeling.epos.epos_reader import ReadEposFileFormat
-
-
-def extract_data_from_pos_file(file_name: str, prefix: str, template: dict) -> dict:
-    """Add those required information which a POS file has."""
-    print(f"Extracting data from POS file: {file_name}")
-    posfile = ReadPosFileFormat(file_name)
-
-    trg = f"{prefix}reconstruction/"
-    xyz = posfile.get_reconstructed_positions()
-    template[f"{trg}reconstructed_positions"] = {
-        "compress": np.array(xyz.typed_value, np.float32),
-        "strength": 1,
-    }
-    template[f"{trg}reconstructed_positions/@units"] = xyz.unit
-    del xyz
-
-    trg = f"{prefix}mass_to_charge_conversion/"
-    m_z = posfile.get_mass_to_charge_state_ratio()
-    template[f"{trg}mass_to_charge"] = {
-        "compress": np.array(m_z.typed_value, np.float32),
-        "strength": 1,
-    }
-    template[f"{trg}mass_to_charge/@units"] = m_z.unit
-    del m_z
-    return template
-
-
-def extract_data_from_epos_file(file_name: str, prefix: str, template: dict) -> dict:
-    """Add those required information which an ePOS file has."""
-    print(f"Extracting data from EPOS file: {file_name}")
-    eposfile = ReadEposFileFormat(file_name)
-
-    trg = f"{prefix}reconstruction/"
-    xyz = eposfile.get_reconstructed_positions()
-    template[f"{trg}reconstructed_positions"] = {
-        "compress": np.array(xyz.typed_value, np.float32),
-        "strength": 1,
-    }
-    template[f"{trg}reconstructed_positions/@units"] = xyz.unit
-    del xyz
-
-    trg = f"{prefix}mass_to_charge_conversion/"
-    m_z = eposfile.get_mass_to_charge_state_ratio()
-    template[f"{trg}mass_to_charge"] = {
-        "compress": np.array(m_z.typed_value, np.float32),
-        "strength": 1,
-    }
-    template[f"{trg}mass_to_charge/@units"] = m_z.unit
-    del m_z
-
-    # there are inconsistencies in the literature as to which units these
-    # quantities have, so we skip exporting the following quantities for now
-    # the following source code has not been tested with the current NXapm version
-    # but should be kept for making additions in the future easier
-    # -->
-    # trg = f"{prefix}voltage_and_bowl_correction/"
-    # raw_tof = eposfile.get_raw_time_of_flight()
-    # template[f"{trg}raw_tof"] = raw_tof.value
-    # template[f"{trg}raw_tof/@units"] = raw_tof.unit
-    # # this somehow calibrated ToF is not available from an EPOS file
-    # template[f"{trg}calibrated_tof"] = raw_tof.value
-    # template[f"{trg}calibrated_tof/@units"] = raw_tof.unit
-    # # is this really a raw ToF, if so, raw wrt to what?
-    # # needs clarification from Cameca/AMETEK how this is internally computed
-    # # especially when scientists write APT files and transcode them
-    # # to EPOS using APSuite
-    # del raw_tof
-
-    # trg = f"{prefix}pulser/"
-    # dc_voltage = eposfile.get_standing_voltage()
-    # template[f"{trg}standing_voltage"] = dc_voltage.value
-    # template[f"{trg}standing_voltage/@units"] = dc_voltage.unit
-    # del dc_voltage
-
-    # pu_voltage = eposfile.get_pulse_voltage()
-    # template[f"{trg}pulsed_voltage"] = pu_voltage.value
-    # template[f"{trg}pulsed_voltage/@units"] = pu_voltage.unit
-    # del pu_voltage
-
-    # trg = f"{prefix}ion_impact_positions/"
-    # hit_positions = eposfile.get_hit_positions()
-    # template[f"{trg}hit_positions"] = hit_positions.value
-    # template[f"{trg}hit_positions/@units"] = hit_positions.unit
-    # del hit_positions
-
-    # trg = f"{prefix}hit_multiplicity/"
-    # # little bit more discussion with e.g. F. M. M. at MPIE required
-
-    # # currently npulses is "number of pulses since last event detected"
-    # npulses = eposfile.get_number_of_pulses()
-    # template[f"{trg}hit_multiplicity"] = npulses.value
-    # template[f"{trg}hit_multiplicity/@units"] = npulses.unit
-    # del npulses
-
-    # ions_per_pulse = eposfile.get_ions_per_pulse()
-    # # currently ions_per_pulse is "ions per pulse, 0 after the first ion"
-    # template[f"{trg}pulses_since_last_ion"] = ions_per_pulse.value
-    # template[f"{trg}pulses_since_last_ion/@units"] \
-    # = ions_per_pulse.unit
-    # del ions_per_pulse
-    # -->
-
-    return template
-
-
-def extract_data_from_apt_file(file_name: str, prefix: str, template: dict) -> dict:
-    """Add those required information which a APT file has."""
-    print(f"Extracting data from APT file: {file_name}")
-    aptfile = ReadAptFileFormat(file_name)
-
-    trg = f"{prefix}reconstruction/"
-    xyz = aptfile.get_named_quantity("Position")
-    template[f"{trg}reconstructed_positions"] = {
-        "compress": np.array(xyz.typed_value, np.float32),
-        "strength": 1,
-    }
-    template[f"{trg}reconstructed_positions/@units"] = xyz.unit
-    del xyz
-
-    trg = f"{prefix}mass_to_charge_conversion/"
-    m_z = aptfile.get_named_quantity("Mass")
-    template[f"{trg}mass_to_charge"] = {
-        "compress": np.array(m_z.typed_value, np.float32),
-        "strength": 1,
-    }
-    template[f"{trg}mass_to_charge/@units"] = m_z.unit
-    del m_z
-
-    # all less explored optional branches in an APT6 file can also already
-    # be accessed via the aptfile.get_named_quantity function
-    # but it needs to be checked if this returns reasonable values
-    # and specifically what these values logically mean, interaction with
-    # Cameca as well as the community is vital here
-    return template
-
-
-class ApmReconstructionParser:  # pylint: disable=too-few-public-methods
-    """Wrapper for multiple parsers for vendor specific files."""
-
-    def __init__(self, file_name: str, entry_id: int):
-        self.file_format = "none"
-        self.file_name = file_name
-        index = file_name.lower().rfind(".")
-        if index >= 0:
-            mime_type = file_name.lower()[index + 1 : :]
-            if mime_type in ["pos", "epos", "apt"]:
-                self.file_format = mime_type
-        self.entry_id = entry_id
-
-    def report(self, template: dict) -> dict:
-        """Copy data from self into template the appdef instance.
-
-        Paths in template are prefixed by prefix and have to be compliant
-        with the application definition.
-        """
-        prfx = f"/ENTRY[entry{self.entry_id}]/atom_probe/"
-        if self.file_name != "" and self.file_format != "none":
-            if self.file_format == "pos":
-                extract_data_from_pos_file(self.file_name, prfx, template)
-            if self.file_format == "epos":
-                extract_data_from_epos_file(self.file_name, prfx, template)
-            if self.file_format == "apt":
-                extract_data_from_apt_file(self.file_name, prfx, template)
-        return template
diff --git a/pynxtools/dataconverter/readers/apm/utils/apm_parse_composition_table.py b/pynxtools/dataconverter/readers/apm/utils/apm_parse_composition_table.py
deleted file mode 100644
index 4e78da5ad..000000000
--- a/pynxtools/dataconverter/readers/apm/utils/apm_parse_composition_table.py
+++ /dev/null
@@ -1,193 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Parse human-readable composition infos from set of ELN string text fields."""
-
-# pylint: disable=no-member,too-many-branches
-
-import re
-
-import numpy as np
-
-from ase.data import chemical_symbols
-
-
-def parse_human_readable_composition_case_one(symbol):
-    """Handle specification of matrix or remainder element."""
-    return ("define_matrix", symbol, None, None, None)
-
-
-def parse_human_readable_composition_case_two(args, symbol):
-    """Handle case element and at.-% composition, no comp. stdev."""
-    if args[1] in ["rem", "remainder", "matrix"]:
-        return ("define_matrix", symbol, None, None, None)
-    composition = re.match(r"[-+]?(?:\d*\.*\d+)", args[1])
-    if composition is not None:
-        fraction = np.float64(composition[0])
-        return ("add_element", symbol, fraction, None, "at.-%")
-    return (None, None, None, None, None)
-
-
-def parse_human_readable_composition_case_three(human_input, args, symbol):
-    """Handle case element with different than default normalization, no comp. stdev."""
-    composition = re.findall(r"[-+]?(?:\d*\.*\d+)", human_input)
-    if len(composition) == 1:
-        fraction = np.float64(composition[0])
-        normalization = args[2]
-        if normalization in ["%", "at%", "at-%", "at.-%"]:
-            return ("add_element", symbol, fraction, None, "at.-%")
-        if normalization in ["wt%", "wt-%", "wt.-%"]:
-            return ("add_element", symbol, fraction, None, "wt.-%")
-        if normalization == "ppm":
-            return ("add_element", symbol, fraction / 1.0e4, None, "at.-%")
-        if normalization == "ppb":
-            return ("add_element", symbol, fraction / 1.0e7, None, "at.-%")
-    return (None, None, None, None, None)
-
-
-def parse_human_readable_composition_case_four(human_input, symbol):
-    """Handle case at.-% normalization with comp. stdev."""
-    composition = re.findall(r"[-+]?(?:\d*\.*\d+)", human_input)
-    composition_error = human_input.count("+-")
-    if (len(composition) == 2) and (composition_error == 1):
-        fraction = np.float64(composition[0])
-        error = np.float64(composition[1])
-        return ("add_element", symbol, fraction, error, "at.-%")
-    return (None, None, None, None, None)
-
-
-def parse_human_readable_composition_case_five(human_input, args, symbol):
-    """Handle case with different than standard normalization and comp. stdev."""
-    composition = re.findall(r"[-+]?(?:\d*\.*\d+)", human_input)
-    if (len(composition) == 2) and (human_input.count("+-") == 1):
-        fraction = np.float64(composition[0])
-        error = np.float64(composition[1])
-        normalization = args[2]
-        if normalization in ["%", "at%", "at-%", "at.-%"]:
-            return ("add_element", symbol, fraction, error, "at.-%")
-        if normalization in ["wt%", "wt-%", "wt.-%"]:
-            return ("add_element", symbol, fraction, error, "wt.-%")
-        if normalization == "ppm":
-            return ("add_element", symbol, fraction / 1.0e4, error / 1.0e4, "at.-%")
-        if normalization == "ppb":
-            return ("add_element", symbol, fraction / 1.0e7, error / 1.0e7, "at.-%")
-    return (None, None, None, None, None)
-
-
-def parse_human_readable_composition_information(eln_input):
-    """Identify instruction to parse from eln_input to define composition table."""
-    args = eln_input.split(" ")
-    if len(args) >= 1:
-        element_symbol = args[0]
-        # composition value argument fraction is always expected in percent
-        # i.e. human should have written 98 instead 0.98!
-        if (element_symbol != "X") and (element_symbol in chemical_symbols):
-            # case: "Mo"
-            if len(args) == 1:
-                return parse_human_readable_composition_case_one(element_symbol)
-            # case: "Mo matrix" or "Mo 98.0", always assuming at.-%!
-            if len(args) == 2:
-                return parse_human_readable_composition_case_two(args, element_symbol)
-            # case: "Mo 98 wt.-%", selectable at.-%, ppm, ppb, or wt.-%!
-            if len(args) == 3:
-                return parse_human_readable_composition_case_three(
-                    eln_input, args, element_symbol
-                )
-            # case: "Mo 98 +- 2", always assuming at.-%!
-            if len(args) == 4:
-                return parse_human_readable_composition_case_four(
-                    eln_input, element_symbol
-                )
-            # case: "Mo 98 wt.-% +- 2", selectable at.-%, ppm, ppb, or wt.-%!
-            if len(args) == 5:
-                return parse_human_readable_composition_case_five(
-                    eln_input, args, element_symbol
-                )
-    return (None, None, None, None, None)
-
-
-def parse_composition_table(composition_list):
-    """Check if all the entries in the composition list yield a valid composition table."""
-    composition_table = {}
-    # check that there are no contradictions or inconsistenc
-    for entry in composition_list:
-        (
-            instruction,
-            element,
-            composition,
-            stdev,
-            normalization,
-        ) = parse_human_readable_composition_information(entry)
-        # print(f"{instruction}, {element}, {composition}, {stdev}, {normalization}")
-
-        if instruction == "add_element":
-            if "normalization" not in composition_table:
-                if normalization is not None:
-                    composition_table["normalization"] = normalization
-            else:
-                # as the normalization model is already defined, all following statements
-                # need to comply because we assume we are not allowed to mix atom and weight
-                # percent normalization in a composition_table
-                if normalization is not None:
-                    if normalization != composition_table["normalization"]:
-                        raise ValueError(
-                            "Composition list is contradicting as it \
-                                         mixes atom- with weight-percent normalization!"
-                        )
-
-            if element not in composition_table:
-                composition_table[element] = (composition, stdev)
-            else:
-                raise ValueError(
-                    "Composition list is incorrectly formatted as if has \
-                                 at least multiple lines for the same element!"
-                )
-            continue
-        if instruction == "define_matrix":
-            if element not in composition_table:
-                composition_table[element] = (None, None)
-                # because the fraction is unclear at this point
-            else:
-                raise ValueError(
-                    "Composition list is contradicting as it includes \
-                                 at least two statements what the matrix should be!"
-                )
-
-    # determine remaining fraction
-    total_fractions = 0.0
-    remainder_element = None
-    for keyword, tpl in composition_table.items():
-        if keyword != "normalization":
-            if (tpl is not None) and (tpl != (None, None)):
-                total_fractions += tpl[0]
-            else:
-                remainder_element = keyword
-    # print(f"Total fractions {total_fractions}, remainder element {remainder_element}")
-    if remainder_element is None:
-        raise ValueError(
-            "Composition list inconsistent because either fractions for \
-                         elements do not add up to 100. or no symbol for matrix defined!"
-        )
-
-    if composition_table:  # means != {}
-        composition_table[remainder_element] = (1.0e2 - total_fractions, None)
-        # error propagation model required
-
-    # document if reporting as percent or fractional values
-    composition_table["percent"] = True
-
-    return composition_table
diff --git a/pynxtools/dataconverter/readers/apm/utils/apm_versioning.py b/pynxtools/dataconverter/readers/apm/utils/apm_versioning.py
deleted file mode 100644
index 114542013..000000000
--- a/pynxtools/dataconverter/readers/apm/utils/apm_versioning.py
+++ /dev/null
@@ -1,31 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Utility tool constants and versioning."""
-
-# pylint: disable=no-member
-
-from pynxtools.dataconverter.readers.shared.shared_utils import get_repo_last_commit
-
-
-NX_APM_ADEF_NAME = "NXapm"
-NX_APM_ADEF_VERSION = (
-    "nexus-fairmat-proposal successor of " "9636feecb79bb32b828b1a9804269573256d7696"
-)
-# based on https://fairmat-experimental.github.io/nexus-fairmat-proposal
-NX_APM_EXEC_NAME = "dataconverter/readers/apm/reader.py"
-NX_APM_EXEC_VERSION = get_repo_last_commit()
diff --git a/pyproject.toml b/pyproject.toml
index cf6888d36..53ff1bed2 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -33,7 +33,6 @@ dependencies = [
     "ase>=3.19.0",
     "flatdict>=4.0.1",
     "hyperspy>=1.7.4",
-    "ifes_apt_tc_data_modeling<0.2,>=0.0.9",
     "gitpython>=3.1.24",
     "pytz>=2021.1",
     "kikuchipy>=0.8.2",
diff --git a/tests/data/dataconverter/readers/apm/README.md b/tests/data/dataconverter/readers/apm/README.md
deleted file mode 100644
index 923552562..000000000
--- a/tests/data/dataconverter/readers/apm/README.md
+++ /dev/null
@@ -1,2 +0,0 @@
-This is a place for storing data for tests which verify the functionality of the apm reader.
-An example for how to use the apm reader is available in _pynxtools/examples/apm_.
diff --git a/tests/data/dataconverter/readers/apm/nomad_oasis_eln_schema_for_nx_apm/nxapm.schema.archive.yaml b/tests/data/dataconverter/readers/apm/nomad_oasis_eln_schema_for_nx_apm/nxapm.schema.archive.yaml
deleted file mode 100644
index ba4a00b3b..000000000
--- a/tests/data/dataconverter/readers/apm/nomad_oasis_eln_schema_for_nx_apm/nxapm.schema.archive.yaml
+++ /dev/null
@@ -1,735 +0,0 @@
-# group, field, and attribute names match to NXapm, for further details
-# what each field should contain consult the respective docstring of the 
-# quantity in NXapm
-definitions:
-  name: 'apm'
-  # 'ELN/matching NXapm NeXus appdef data schema for atom probe'
-  sections: # section definitions what were back in the old days msections
-    AtomProbeMicroscopy: # the actual schema
-      base_sections:
-        - 'nomad.datamodel.metainfo.eln.NexusDataConverter'
-        - 'nomad.datamodel.data.EntryData'
-      m_annotations:
-        # Here you can set your default values for the reader and nxdl.
-        template: 
-          reader: apm
-          nxdl: NXapm.nxdl
-        # Listing quantities in the hide component will not show them in the ELN.
-        # This would be useful to make the default values set in `template` fixed.
-        # Leave the hide key even if you want to pass an empty list like in this example.
-        eln: 
-          hide: ['nxdl', 'reader']
-      sub_sections:
-        entry:
-          section:
-            description: |
-              Generic details about an experiment.
-            m_annotations:
-              eln:
-                overview: true
-            quantities:
-              experiment_identifier:
-                type: str
-                description: GUID of the experiment
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              experiment_description:
-                type: str
-                description: Free text details about the experiment
-                m_annotations:
-                  eln:
-                    component: RichTextEditQuantity
-              start_time:
-                type: Datetime
-                description: |
-                  ISO 8601 time code with local time zone offset
-                  to UTC when the experiment started.
-                m_annotations:
-                  eln:
-                    component: DateTimeEditQuantity
-              end_time:
-                type: Datetime
-                description: |
-                  ISO 8601 time code with local time zone offset
-                  to UTC when the experiment ended.
-                m_annotations:
-                  eln:
-                    component: DateTimeEditQuantity
-              run_number:
-                type: str
-                description: |
-                  Identifier in the instrument control software
-                  given for this experiment.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              operation_mode:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - apt
-                    - fim
-                    - apt_fim
-                    - other
-                description: |
-                  What type of atom probe microscope experiment is performed.
-                  APT experiments use no imaging gas while FIM does.
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-              # inputfile_reconstruction:
-              #   type: str
-              #   description: |
-              #     Place to drag-and-drop the file containing the result of the measurement.
-              #     This result has to be the tomographic reconstruction.
-              #     Accepted file formats are POS, ePOS, and APT (from APSuite).
-              #   m_annotations:
-              #     eln:
-              #       component: FileEditQuantity
-              # inputfile_range_file:
-              #   type: str
-              #   description: |
-              #     Place to drag-and-drop a file which contains the result of a ranging of
-              #     the mass-to-charge-state ratio values to assigned ion labels.
-              #     Accepted file formats are RNG, and RRNG.
-              #   m_annotations:
-              #     eln:
-              #       component: FileEditQuantity
-
-        sample:
-          section:
-            description: |
-              Description of the sample from which the specimen was prepared or
-              site-specifically cut out using e.g. a focused-ion beam instrument.
-            m_annotations:
-              eln:
-            quantities:
-              composition:
-                type: str
-                shape: ['*']
-                description: |
-                  Chemical composition of the sample. The composition from e.g.
-                  a composition table can be added as individual strings.
-                  One string for each element with statements separated via a
-                  single space. The string is expected to have the following format:
-                  Symbol value unit +- stdev
-                  
-                  An example: B 1. +- 0.2, means
-                  composition of boron 1. at.-% +- 0.2 at.%.
-                  If a string contains only a symbol this is interpreted
-                  that the symbol specifies the matrix or remainder element
-                  for the composition table.
-                  
-                  If unit is omitted or named % this is interpreted as at.-%.
-                  Unit can be at% or wt% but all strings have to use either atom
-                  or weight percent but no mixtures.
-                  No unit for stdev should be repeated as it has to be the
-                  same unit as is used for the composition value.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              grain_diameter: 
-                type: np.float64
-                unit: micrometer
-                description: |
-                  Qualitative information about the grain size, here specifically
-                  described as the equivalent spherical diameter of an assumed
-                  average grain size for the crystal ensemble.
-                m_annotations:
-                  eln:
-                    component: NumberEditQuantity
-                    minValue: 0.0
-                    defaultDisplayUnit: micrometer
-              grain_diameter_error:
-                type: np.float64
-                unit: micrometer
-                description: |
-                  Magnitude of the standard deviation to the grain_diameter.
-                m_annotations:
-                  eln:
-                    component: NumberEditQuantity
-                    minValue: 0.0
-                    defaultDisplayUnit: micrometer
-              heat_treatment_temperature:
-                type: np.float64
-                unit: kelvin
-                description: |
-                  The temperature of the last heat treatment step before quenching.
-                m_annotations:
-                  eln:
-                    component: NumberEditQuantity
-                    minValue: 0.0
-                    defaultDisplayUnit: kelvin
-              heat_treatment_temperature_error:
-                type: np.float64
-                unit: kelvin
-                description: |
-                  Magnitude of the standard deviation of the heat_treatment_temperature.
-                m_annotations:
-                  eln:
-                    component: NumberEditQuantity
-                    minValue: 0.0
-                    defaultDisplayUnit: kelvin
-              heat_treatment_quenching_rate:
-                type: np.float64
-                unit: kelvin/second
-                description: |
-                  Rate of the last quenching step.
-                m_annotations:
-                  eln:
-                    component: NumberEditQuantity
-                    minValue: 0.0
-                    defaultDisplayUnit: kelvin/second
-              heat_treatment_quenching_rate_error:
-                type: np.float64
-                unit: K/s
-                description: |
-                  Magnitude of the standard deviation of the heat_treatment_quenching_rate.
-                m_annotations:
-                  eln:
-                    component: NumberEditQuantity
-                    minValue: 0.0
-                    defaultDisplayUnit: K/s
-        specimen:
-          section:
-            description: |
-              Details about the specimen and its immediate environment.
-            m_annotations:
-              eln:
-            quantities:
-              name: 
-                type: str
-                description: |
-                  GUID which distinguishes the specimen from all others and especially 
-                  the predecessor/origin from where the specimen was cut.
-                  In cases where the specimen was e.g. site-specifically cut from
-                  samples or in cases of an instrument session during which multiple
-                  specimens are loaded, the name has to be descriptive enough to 
-                  resolve which specimen on e.g. the microtip array was taken.
-                  This field must not be used for an alias of the specimen.
-                  Instead, use short_title.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              # sample_history:
-              #   type: str
-              #   description: |
-              #     Reference to the location of or a GUID providing as many details
-              #     as possible of the material, its microstructure, and its 
-              #     thermo-chemo-mechanical processing/preparation history.
-              #   m_annotations:
-              #     eln:
-              #       component: StringEditQuantity
-              preparation_date:
-                type: Datetime
-                description: |
-                  ISO 8601 time code with local time zone offset to UTC
-                  when the measured specimen surface was prepared last time.
-                m_annotations:
-                  eln:
-                    component: DateTimeEditQuantity
-              is_polycrystalline:
-                type: bool
-                description: |
-                  Is the specimen, i.e. the tip, polycrystalline, i.e. does
-                  it includes a grain or phase boundary?
-                m_annotations:
-                  eln:
-                    component: BoolEditQuantity
-              alias:
-                type: str
-                description: |
-                  Possibility to give an abbreviation of the specimen name field.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              # atom_types should be a list of strings
-              # atom_types:
-              #   type: str
-              #   shape: ['*']
-              #   description: |
-              #     Use Hill's system for listing elements of the periodic table which
-              #     are inside or attached to the surface of the specimen and thus
-              #     relevant from a scientific point of view.
-              #   m_annotations:
-              #     eln:
-              #       component: StringEditQuantity
-              description:
-                type: str
-                description: |
-                  Discouraged free text field to be used in the case when properly
-                  designed records for the sample_history are not available.
-                m_annotations:
-                  eln:
-                    component: RichTextEditQuantity
-        user:
-          repeats: true
-          section:
-            description: |
-              Contact information and eventually details of at least one person
-              involved in the taking of the microscope session.
-            m_annotations:
-              eln:
-            quantities:
-              name:
-                type: str
-                description: Given (first) name and surname.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              email:
-                type: str
-                description: Email address of the user at the point in time when the experiment was performed.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              affiliation:
-                type: str
-                description: Name of the affiliation of the user at the point in time when the experiment was performed.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              address:
-                type: str
-                description: Postal address of the affiliation.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              orcid:
-                type: str
-                description: Globally unique identifier of the user as offered by services like OrcID or ResearcherID.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              orcid_platform:
-                type: str
-                description: Name of the OrcID or ResearcherID where the account under orcid is registered.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              telephone_number:
-                type: str
-                description: (Business) (tele)phone number of the user at the point in time when the experiment was performed.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              role:
-                type: str
-                description: Which role does the user have in the place and at the point in time when the experiment was performed? Technician operating the microscope. Student, postdoc, principle investigator, guest are common examples.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              social_media_name:
-                type: str
-                description: Account name that is associated with the user in social media platforms.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              social_media_platform:
-                type: str
-                description: Name of the social media platform where the account under social_media_name is registered.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-        atom_probe:
-          section:
-            description: |
-              The instrument and the lab in which it stands.
-            m_annotations:
-              eln:
-            quantities:
-              status:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - success
-                    - failure
-                    - unknown
-                description: |
-                  A statement whether the measurement was
-                  successful or failed prematurely.
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-              instrument_name:
-                type: str
-                description: Given name of the atom probe at the hosting institution.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              location:
-                type: str
-                description: |
-                  Location of the lab or place where the instrument is installed.
-                  Using GEOREF is preferred.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              # (NXfabrication):
-              flight_path_length:
-                type: np.float64
-                unit: meter
-                description: |
-                  The space inside the atom probe that ions pass through nominally
-                  when they leave the specimen and travel to the detector.
-                m_annotations:
-                  eln:
-                    component: NumberEditQuantity
-                    defaultDisplayUnit: meter
-                    minValue: 0.0
-                    maxValue: 10.0
-              field_of_view:
-                type: np.float64
-                unit: nanometer
-                description: |
-                  The nominal diameter of the specimen ROI which is measured in the
-                  experiment. Physically, the specimen cannot be measured completely
-                  because ions may launch but not become detected or hit elsewhere.
-                m_annotations:
-                  eln:
-                    component: NumberEditQuantity
-                    defaultDisplayUnit: nanometer
-                    minValue: 0.0
-              fabrication_vendor:
-                type: str
-                description: Name of the manufacturer/company, i.e. AMETEK/Cameca.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              fabrication_model:
-                type: str
-                description: Model name of the instrument
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              fabrication_identifier:
-                type: str
-                description: Serial number/identifier of the instrument as issued by the manufacturer
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              fabrication_capabilities:
-                type: str
-                description: Capabilities of the instrument
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              # analysis_chamber(NXchamber):
-              # load_lock_chamber(NXchamber):
-              # buffer_chamber(NXchamber):
-              # getter_pump(NXpump):
-              # roughening_pump(NXpump):
-              # turbomolecular_pump(NXpump):
-              reflectron_applied:
-                type: bool
-                description: Is a reflectron installed and was it used?
-                m_annotations:
-                  eln:
-                    component: BoolEditQuantity
-              local_electrode_name:
-                type: str
-                description: Identifier of the local_electrode in the control software database.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              # local_electrode__(NXaperture_em):
-              # ion_detector(NXdetector):
-              ion_detector_type:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - mcp_dld
-                    - phosphor_ccd
-                    - other
-                description: |
-                  Type of the ToF-taking detector system
-                  Examples are mcp_dld, phosphor_ccd, or other
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-              ion_detector_name:
-                type: str
-                description: Given name or alias of the detector
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              ion_detector_model:
-                type: str
-                description: Given brand or model name by the manufacturer.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              ion_detector_serial_number:
-                type: str
-                description: Given hardware name/serial number or hash identifier issued by the manufacturer.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              # fabrication_vendor:
-              # signal_amplitude(NX_FLOAT):
-              stage_lab_base_temperature:
-                type: np.float64
-                unit: kelvin
-                description: |
-                  Average temperature at the specimen base, i.e.
-                  base temperature, during the measurement.
-                m_annotations:
-                  eln:
-                    component: NumberEditQuantity
-                    defaultDisplayUnit: kelvin
-                    minValue: 0.0
-                    maxValue: 300.0
-              analysis_chamber_pressure:
-                type: np.float64
-                unit: torr
-                description: |
-                  Average pressure in the analysis chamber during the measurement.
-                m_annotations:
-                  eln:
-                    component: NumberEditQuantity
-                    defaultDisplayUnit: torr
-                    minValue: 0.0
-                    maxValue: 1500.12
-              specimen_monitoring_initial_radius:
-                type: np.float64
-                unit: nanometer
-                description: |
-                  Ideally measured or best elaborated guess of the initial radius of the specimen.
-                m_annotations:
-                  eln:
-                    component: NumberEditQuantity
-                    defaultDisplayUnit: nanometer
-                    minValue: 1.0
-                    maxValue: 1000.0
-              specimen_monitoring_shank_angle:
-                type: np.float64
-                unit: degree
-                descriptions: |
-                  Ideally measured or best elaborated guess of the shank angle.
-                  This is a measure of the specimen taper.
-                m_annotations:
-                  eln:
-                    component: NumberEditQuantity
-                    defaultDisplayUnit: degree
-                    minValue: 0.0
-                    maxValue: 90.0
-              specimen_monitoring_detection_rate:
-                type: np.float64
-                descriptions: |
-                  Average detection rate over the course of the experiment.
-                m_annotations:
-                  eln:
-                    component: NumberEditQuantity
-                    minValue: 0.0
-                    maxValue: 1.0
-              control_software_program:
-                type: str
-                description: |
-                  Name of the control software of the microscope 
-                  used during acquisition (e.g. IVAS/APSuite).
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              control_software_program__attr_version:
-                type: str
-                description: Version plus build number, commit hash, or description of the program to support reproducibility.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-            sub_sections:
-              pulser:
-                section:
-                  description: Details about the pulsing device and method
-                  m_annotations:
-                    eln:
-                  quantities:
-                    pulse_mode:
-                      type:
-                        type_kind: Enum
-                        type_data:
-                          - laser
-                          - voltage
-                          - laser_and_voltage
-                      description: |
-                        Which pulsing mode was used?
-                      m_annotations:
-                        eln:
-                          component: RadioEnumEditQuantity
-                    pulse_frequency:
-                      type: np.float64
-                      unit: kilohertz
-                      description: Pulse frequency
-                      m_annotations:
-                        eln:
-                          component: NumberEditQuantity
-                          defaultDisplayUnit: kilohertz
-                          minValue: 0.0
-                          maxValue: 10000.0
-                    pulse_fraction:
-                      type: np.float64
-                      description: Pulse fraction
-                      m_annotations:
-                        eln:
-                          component: NumberEditQuantity
-                          minValue: 0.0
-                          maxValue: 1.0
-                    # LEAP 6000 instrument has up to two lasers
-                  sub_sections:
-                    laser_source:
-                      repeats: True
-                      section:
-                        description: |
-                          Details about each laser pulsing unit.
-                          LEAP6000 instruments can use up to two lasers.
-                        m_annotations:
-                          eln:
-                        quantities:
-                          name:
-                            type: str
-                            description: Given name/alias.
-                            m_annotations:
-                              eln:
-                                component: StringEditQuantity
-                          wavelength:
-                            type: np.float64
-                            unit: nanometer
-                            description: Nominal wavelength of the laser radiation.
-                            m_annotations:
-                             eln:
-                               component: NumberEditQuantity
-                               defaultDisplayUnit: nanometer
-                               minValue: 0.0
-                          power:
-                            type: np.float64
-                            unit: nanowatt
-                            description: |
-                              Nominal power of the laser source while
-                              illuminating the specimen.
-                            m_annotations:
-                              eln:
-                                component: NumberEditQuantity
-                                defaultDisplayUnit: nanowatt
-                                minValue: 0.0
-                          pulse_energy:
-                            type: np.float64
-                            unit: picojoule
-                            description: |
-                              Average energy of the laser at peak of each pulse.
-                            m_annotations:
-                              eln:
-                                component: NumberEditQuantity
-                                defaultDisplayUnit: picojoule
-                                minValue: 0.0
-        # control_software:
-        #   section:
-        #     description: Which control software was used e.g. IVAS/APSuite
-        #     m_annotations:
-        #       eln:
-        #     quantities:
-        #       program:
-        #         type: str
-        #         description: |
-        #           Name of the program used to control the instrument during the measurement.
-        #           Examples are IVAS or APSuite for Cameca/AMETEK local electrode atom probes.
-        #         m_annotations:
-        #           eln:
-        #             component: StringEditQuantity
-        #       program__attr_version:
-        #         type: str
-        #         description: |
-        #           Version plus build number, commit hash, or description
-        #           of the program to support reproducibility.
-        #         m_annotations:
-        #           eln:
-        #             component: StringEditQuantity
-        # (NXstage_lab):
-        # (NXdata):
-        # (NXcoordinate_system_set):
-        # (NXmonitor):
-        reconstruction:
-          section:
-            description: Details about the reconstruction
-            m_annotations:
-              eln:
-            quantities:
-              program:
-                type: str
-                description: |
-                  Name of the program used to perform the reconstruction with.
-                  Examples are IVAS, APSuite, or names of open-source tools.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              program__attr_version:
-                type: str
-                description: Version plus build number, commit hash, or description of the program to support reproducibility.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              protocol_name:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - bas
-                    - geiser
-                    - gault
-                    - cameca
-                    - other
-                description: |
-                  Qualitative statement about which reconstruction protocol was used.
-                  Bas maps currently to bas_modified.
-                  Cameca maps currently to apsuite.
-                  Add more details in the parameter text field,
-                  e.g. reconstruction parameter.
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-              parameter:
-                type: str
-                description: |
-                  Different reconstruction protocols exist. Although these approaches
-                  are qualitatively similar, each protocol uses different parameters
-                  (and interprets these differently). The source code to IVAS/APSuite
-                  is not open. For now users should store reconstruction parameter
-                  in a collection, i.e. here with a free-text field.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              crystallographic_calibration:
-                type: str
-                description: |
-                  Different strategies for crystallographic calibration of the
-                  reconstruction are possible. The field is required and details
-                  should be specified in free-text at least. If the not crystallographic
-                  calibration was performed the field should be filled with the n/a,
-                  meaning not applied.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-        ranging:
-          section:
-            description: Details about the ranging definitions.
-            m_annotations:
-              eln:
-            quantities:
-              program:
-                type: str
-                description: |
-                  Name of the program used to perform the ranging with.
-                  Examples are IVAS, APSuite, or names of open-source tools.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              program__attr_version:
-                type: str
-                description: Version plus build number, commit hash, or description of the program to support reproducibility.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-            # number_of_iontypes
-            # maximum_number_of_atoms_per_molecular_ion
-            # mass_to_charge_distribution
-            # background_quantification
-            # peak_search_and_deconvolution
-            # peak_identification taken over from program and program__attr_version

From 0b06f53250c3f5d9705aac6a242a14264885e18d Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Markus=20K=C3=BChbach?= <mkuehbach@users.noreply.github.com>
Date: Fri, 15 Mar 2024 10:31:51 +0100
Subject: [PATCH 16/58] Update pyproject.toml

Implemented review suggestion from @domna
---
 pyproject.toml | 6 +++++-
 1 file changed, 5 insertions(+), 1 deletion(-)

diff --git a/pyproject.toml b/pyproject.toml
index 53ff1bed2..6ce16a256 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -70,7 +70,7 @@ dev = [
     "pre-commit",
 ]
 convert = [
-    "pynxtools[mpes,xps,stm]",
+    "pynxtools[mpes,xps,apm,stm]",
 ]
 mpes = [
     "pynxtools-mpes",
@@ -78,10 +78,14 @@ mpes = [
 xps = [
     "pynxtools-xps",
 ]
+apm = [
+    "pynxtools-apm",
+]
 stm = [
     "pynxtools-stm",
 ]
 
+
 [project.scripts]
 read_nexus = "pynxtools.nexus.nexus:main"
 dataconverter = "pynxtools.dataconverter.convert:main_cli"

From c8ed192360fb3be81a6a9d88f73a899cd40138ec Mon Sep 17 00:00:00 2001
From: mkuehbach <markus.kuehbach@physik.hu-berlin.de>
Date: Mon, 18 Mar 2024 19:03:00 +0100
Subject: [PATCH 17/58] Inform users where to go during the plugin-creation,
 migration phase for em and apm

---
 README.md | 5 +++++
 1 file changed, 5 insertions(+)

diff --git a/README.md b/README.md
index d499accde..1cbead3d5 100644
--- a/README.md
+++ b/README.md
@@ -58,6 +58,11 @@ There are a number of plugins available for pynxtools. These are extensions of p
 - [**pynxtools-stm**](https://github.com/FAIRmat-NFDI/pynxtools-stm): A reader for scanning tunneling microscopy (SPM) and spectroscopy (STS) data.
 - [**pynxtools-xps**](https://github.com/FAIRmat-NFDI/pynxtools-xps): A reader for X-ray photoelectron spectroscopy (XPS) data.
 
+Respective readers for the research fields of electron microscopy and atom probe are currently refactored into pynxtools plugins.
+Until this refactoring will have become completed, users are advised to use the apm and em readers via pynxtools<=0.1.1.
+- [**pynxtools-apm**](https://github.com/FAIRmat-NFDI/pynxtools-apm): A reader for atom probe as well as related field ion microscopy data.
+- [**pynxtools-em**](https://github.com/FAIRmat-NFDI/pynxtools-em): A reader for electron microscopy data.
+
 You can install each of the plugins together with `pynxtools` by passing the name of the plugin as an extra to the pip install call. For example, for the `pynxtools-mpes` plugin:
 ```shell
 pip install pynxtools[mpes]

From cea38fdd421944dd9811599fad097052caa19c9a Mon Sep 17 00:00:00 2001
From: mkuehbach <markus.kuehbach@physik.hu-berlin.de>
Date: Mon, 18 Mar 2024 19:20:17 +0100
Subject: [PATCH 18/58] Remove em-specific dataconverters as their
 functionality is superseeded by the pynxtools-em plugin, implementing a
 contribution for #283

---
 dev-requirements.txt                          |  368 +-----
 examples/em_nion/README.md                    |   24 -
 .../em_nion/Write.NXem_nion.Example.1.ipynb   |  287 -----
 examples/em_nion/eln_data_em_nion.yaml        |   63 -
 examples/em_om/README.md                      |   37 -
 .../em_om/Write.NXem_ebsd.Example.1.ipynb     |  377 ------
 examples/em_om/eln_data_em_om.yaml            |   65 -
 examples/em_spctrscpy/README.md               |   24 -
 .../em_spctrscpy/Write.NXem.Example.1.ipynb   |  349 ------
 .../em_spctrscpy/eln_data_em_spctrscpy.yaml   |   64 -
 .../dataconverter/readers/em_nion/README.md   |   41 -
 .../dataconverter/readers/em_nion/__init__.py |    0
 .../readers/em_nion/map_concepts/README.md    |   12 -
 .../map_concepts/swift_display_items_to_nx.py |  107 --
 .../map_concepts/swift_eln_to_nx_map.py       |  214 ----
 .../swift_to_nx_image_ang_space.py            |  152 ---
 .../swift_to_nx_image_real_space.py           |  492 --------
 .../map_concepts/swift_to_nx_spectrum_eels.py |  654 ----------
 .../dataconverter/readers/em_nion/reader.py   |  115 --
 .../em_nion/utils/em_nion_versioning.py       |   34 -
 .../em_nion/utils/swift_define_io_cases.py    |   84 --
 .../utils/swift_generate_dimscale_axes.py     |   65 -
 .../em_nion/utils/swift_load_generic_eln.py   |  177 ---
 .../em_nion/utils/swift_uuid_to_file_name.py  |   40 -
 .../utils/swift_zipped_project_parser.py      |  411 ------
 .../dataconverter/readers/em_om/README.md     |   11 -
 .../dataconverter/readers/em_om/__init__.py   |    0
 .../dataconverter/readers/em_om/reader.py     |  152 ---
 .../readers/em_om/utils/__init__.py           |    0
 .../em_om/utils/dream3d_ebsd_parser.py        |  404 ------
 .../em_om/utils/dream3d_filter_class.py       |   60 -
 .../dream3d_v65163_color_keys/Cubic_High.png  |  Bin 495242 -> 0 bytes
 .../dream3d_v65163_color_keys/Cubic_low.png   |  Bin 93674 -> 0 bytes
 .../dream3d_v65163_color_keys/Hex_high.png    |  Bin 329677 -> 0 bytes
 .../dream3d_v65163_color_keys/Hex_low.png     |  Bin 546945 -> 0 bytes
 .../dream3d_v65163_color_keys/Monoclinic.png  |  Bin 436161 -> 0 bytes
 .../Orthorhombic.png                          |  Bin 608879 -> 0 bytes
 .../Tetragonal_High.png                       |  Bin 435789 -> 0 bytes
 .../Tetragonal_Low.png                        |  Bin 604210 -> 0 bytes
 .../dream3d_v65163_color_keys/Triclinic.png   |  Bin 808316 -> 0 bytes
 .../Trigonal_Low.png                          |  Bin 345510 -> 0 bytes
 .../trigonal_HIgh.png                         |  Bin 509068 -> 0 bytes
 .../readers/em_om/utils/em_nexus_plots.py     |  125 --
 .../em_om/utils/euler_angle_convention.py     |   65 -
 .../readers/em_om/utils/generic_eln_io.py     |  366 ------
 .../readers/em_om/utils/handed_cartesian.py   |  749 -----------
 .../readers/em_om/utils/image_transform.py    |   51 -
 .../readers/em_om/utils/msmse_convention.py   |   49 -
 .../readers/em_om/utils/mtex_ebsd_parser.py   |  320 -----
 .../readers/em_om/utils/orix_ebsd_parser.py   |  565 ---------
 .../readers/em_om/utils/use_case_selector.py  |  171 ---
 .../readers/em_om/utils/versioning.py         |   31 -
 .../readers/em_om/utils/zip_ebsd_parser.py    |  221 ----
 .../readers/em_spctrscpy/README.md            |  194 ---
 .../readers/em_spctrscpy/__init__.py          |    0
 .../readers/em_spctrscpy/reader.py            |  145 ---
 .../readers/em_spctrscpy/utils/__init__.py    |    0
 .../em_spctrscpy/utils/em_event_data.py       |  147 ---
 .../em_spctrscpy/utils/em_example_data.py     |  525 --------
 .../em_spctrscpy/utils/em_generic_eln_io.py   |  414 ------
 .../utils/em_nexus_base_classes.py            |  181 ---
 .../em_spctrscpy/utils/em_nexus_plots.py      |  193 ---
 .../utils/em_use_case_selector.py             |   93 --
 .../em_spctrscpy/utils/em_versioning.py       |   31 -
 .../em_spctrscpy/utils/hspy/em_hspy_adf.py    |  258 ----
 .../utils/hspy/em_hspy_comments.py            |   90 --
 .../em_spctrscpy/utils/hspy/em_hspy_eels.py   |  357 ------
 .../em_spctrscpy/utils/hspy/em_hspy_xray.py   |  494 --------
 .../em_spctrscpy/utils/oina/em_oina_xray.py   |   22 -
 pyproject.toml                                |   16 +-
 .../dataconverter/readers/em_nion/README.md   |    2 -
 .../nxem.schema.archive.yaml                  |  503 --------
 .../dataconverter/readers/em_om/README.md     |    2 -
 .../nxem_ebsd.schema.archive.yaml             | 1105 -----------------
 .../readers/em_spctrscpy/README.md            |    2 -
 .../nxem.schema.archive.yaml                  |  507 --------
 76 files changed, 15 insertions(+), 12862 deletions(-)
 delete mode 100644 examples/em_nion/README.md
 delete mode 100644 examples/em_nion/Write.NXem_nion.Example.1.ipynb
 delete mode 100644 examples/em_nion/eln_data_em_nion.yaml
 delete mode 100644 examples/em_om/README.md
 delete mode 100644 examples/em_om/Write.NXem_ebsd.Example.1.ipynb
 delete mode 100644 examples/em_om/eln_data_em_om.yaml
 delete mode 100644 examples/em_spctrscpy/README.md
 delete mode 100644 examples/em_spctrscpy/Write.NXem.Example.1.ipynb
 delete mode 100644 examples/em_spctrscpy/eln_data_em_spctrscpy.yaml
 delete mode 100644 pynxtools/dataconverter/readers/em_nion/README.md
 delete mode 100644 pynxtools/dataconverter/readers/em_nion/__init__.py
 delete mode 100644 pynxtools/dataconverter/readers/em_nion/map_concepts/README.md
 delete mode 100644 pynxtools/dataconverter/readers/em_nion/map_concepts/swift_display_items_to_nx.py
 delete mode 100644 pynxtools/dataconverter/readers/em_nion/map_concepts/swift_eln_to_nx_map.py
 delete mode 100644 pynxtools/dataconverter/readers/em_nion/map_concepts/swift_to_nx_image_ang_space.py
 delete mode 100644 pynxtools/dataconverter/readers/em_nion/map_concepts/swift_to_nx_image_real_space.py
 delete mode 100644 pynxtools/dataconverter/readers/em_nion/map_concepts/swift_to_nx_spectrum_eels.py
 delete mode 100644 pynxtools/dataconverter/readers/em_nion/reader.py
 delete mode 100644 pynxtools/dataconverter/readers/em_nion/utils/em_nion_versioning.py
 delete mode 100644 pynxtools/dataconverter/readers/em_nion/utils/swift_define_io_cases.py
 delete mode 100644 pynxtools/dataconverter/readers/em_nion/utils/swift_generate_dimscale_axes.py
 delete mode 100644 pynxtools/dataconverter/readers/em_nion/utils/swift_load_generic_eln.py
 delete mode 100644 pynxtools/dataconverter/readers/em_nion/utils/swift_uuid_to_file_name.py
 delete mode 100644 pynxtools/dataconverter/readers/em_nion/utils/swift_zipped_project_parser.py
 delete mode 100644 pynxtools/dataconverter/readers/em_om/README.md
 delete mode 100644 pynxtools/dataconverter/readers/em_om/__init__.py
 delete mode 100644 pynxtools/dataconverter/readers/em_om/reader.py
 delete mode 100644 pynxtools/dataconverter/readers/em_om/utils/__init__.py
 delete mode 100644 pynxtools/dataconverter/readers/em_om/utils/dream3d_ebsd_parser.py
 delete mode 100644 pynxtools/dataconverter/readers/em_om/utils/dream3d_filter_class.py
 delete mode 100644 pynxtools/dataconverter/readers/em_om/utils/dream3d_v65163_color_keys/Cubic_High.png
 delete mode 100644 pynxtools/dataconverter/readers/em_om/utils/dream3d_v65163_color_keys/Cubic_low.png
 delete mode 100644 pynxtools/dataconverter/readers/em_om/utils/dream3d_v65163_color_keys/Hex_high.png
 delete mode 100644 pynxtools/dataconverter/readers/em_om/utils/dream3d_v65163_color_keys/Hex_low.png
 delete mode 100644 pynxtools/dataconverter/readers/em_om/utils/dream3d_v65163_color_keys/Monoclinic.png
 delete mode 100644 pynxtools/dataconverter/readers/em_om/utils/dream3d_v65163_color_keys/Orthorhombic.png
 delete mode 100644 pynxtools/dataconverter/readers/em_om/utils/dream3d_v65163_color_keys/Tetragonal_High.png
 delete mode 100644 pynxtools/dataconverter/readers/em_om/utils/dream3d_v65163_color_keys/Tetragonal_Low.png
 delete mode 100644 pynxtools/dataconverter/readers/em_om/utils/dream3d_v65163_color_keys/Triclinic.png
 delete mode 100644 pynxtools/dataconverter/readers/em_om/utils/dream3d_v65163_color_keys/Trigonal_Low.png
 delete mode 100644 pynxtools/dataconverter/readers/em_om/utils/dream3d_v65163_color_keys/trigonal_HIgh.png
 delete mode 100644 pynxtools/dataconverter/readers/em_om/utils/em_nexus_plots.py
 delete mode 100644 pynxtools/dataconverter/readers/em_om/utils/euler_angle_convention.py
 delete mode 100644 pynxtools/dataconverter/readers/em_om/utils/generic_eln_io.py
 delete mode 100644 pynxtools/dataconverter/readers/em_om/utils/handed_cartesian.py
 delete mode 100644 pynxtools/dataconverter/readers/em_om/utils/image_transform.py
 delete mode 100644 pynxtools/dataconverter/readers/em_om/utils/msmse_convention.py
 delete mode 100644 pynxtools/dataconverter/readers/em_om/utils/mtex_ebsd_parser.py
 delete mode 100644 pynxtools/dataconverter/readers/em_om/utils/orix_ebsd_parser.py
 delete mode 100644 pynxtools/dataconverter/readers/em_om/utils/use_case_selector.py
 delete mode 100644 pynxtools/dataconverter/readers/em_om/utils/versioning.py
 delete mode 100644 pynxtools/dataconverter/readers/em_om/utils/zip_ebsd_parser.py
 delete mode 100644 pynxtools/dataconverter/readers/em_spctrscpy/README.md
 delete mode 100644 pynxtools/dataconverter/readers/em_spctrscpy/__init__.py
 delete mode 100644 pynxtools/dataconverter/readers/em_spctrscpy/reader.py
 delete mode 100644 pynxtools/dataconverter/readers/em_spctrscpy/utils/__init__.py
 delete mode 100644 pynxtools/dataconverter/readers/em_spctrscpy/utils/em_event_data.py
 delete mode 100644 pynxtools/dataconverter/readers/em_spctrscpy/utils/em_example_data.py
 delete mode 100644 pynxtools/dataconverter/readers/em_spctrscpy/utils/em_generic_eln_io.py
 delete mode 100644 pynxtools/dataconverter/readers/em_spctrscpy/utils/em_nexus_base_classes.py
 delete mode 100644 pynxtools/dataconverter/readers/em_spctrscpy/utils/em_nexus_plots.py
 delete mode 100644 pynxtools/dataconverter/readers/em_spctrscpy/utils/em_use_case_selector.py
 delete mode 100644 pynxtools/dataconverter/readers/em_spctrscpy/utils/em_versioning.py
 delete mode 100644 pynxtools/dataconverter/readers/em_spctrscpy/utils/hspy/em_hspy_adf.py
 delete mode 100644 pynxtools/dataconverter/readers/em_spctrscpy/utils/hspy/em_hspy_comments.py
 delete mode 100644 pynxtools/dataconverter/readers/em_spctrscpy/utils/hspy/em_hspy_eels.py
 delete mode 100644 pynxtools/dataconverter/readers/em_spctrscpy/utils/hspy/em_hspy_xray.py
 delete mode 100644 pynxtools/dataconverter/readers/em_spctrscpy/utils/oina/em_oina_xray.py
 delete mode 100644 tests/data/dataconverter/readers/em_nion/README.md
 delete mode 100644 tests/data/dataconverter/readers/em_nion/nomad_oasis_eln_schema_for_nx_em/nxem.schema.archive.yaml
 delete mode 100644 tests/data/dataconverter/readers/em_om/README.md
 delete mode 100644 tests/data/dataconverter/readers/em_om/nomad_oasis_eln_schema_for_nx_em_ebsd/nxem_ebsd.schema.archive.yaml
 delete mode 100644 tests/data/dataconverter/readers/em_spctrscpy/README.md
 delete mode 100644 tests/data/dataconverter/readers/em_spctrscpy/nomad_oasis_eln_schema_for_nx_em/nxem.schema.archive.yaml

diff --git a/dev-requirements.txt b/dev-requirements.txt
index b101a3ae8..485b31252 100644
--- a/dev-requirements.txt
+++ b/dev-requirements.txt
@@ -4,18 +4,10 @@
 #
 #    pip-compile --extra=dev --extra=docs --output-file=dev-requirements.txt pyproject.toml
 #
-asciitree==0.3.3
-    # via zarr
 ase==3.22.1
     # via pynxtools (pyproject.toml)
-asteval==0.9.31
-    # via lmfit
-asttokens==2.4.1
-    # via stack-data
 babel==2.14.0
     # via mkdocs-material
-backcall==0.2.0
-    # via ipython
 build==1.0.3
     # via pip-tools
 certifi==2023.11.17
@@ -27,18 +19,13 @@ charset-normalizer==3.3.2
 click==8.1.7
     # via
     #   click-default-group
-    #   dask
     #   mkdocs
     #   pip-tools
     #   pynxtools (pyproject.toml)
 click-default-group==1.2.4
     # via pynxtools (pyproject.toml)
-cloudpickle==3.0.0
-    # via dask
 colorama==0.4.6
     # via mkdocs-material
-comm==0.2.0
-    # via ipykernel
 contourpy==1.1.1
     # via matplotlib
 coverage[toml]==7.3.2
@@ -47,56 +34,16 @@ coverage[toml]==7.3.2
     #   pytest-cov
 cycler==0.12.1
     # via matplotlib
-dask[array]==2023.5.0
-    # via
-    #   dask
-    #   hyperspy
-    #   kikuchipy
-    #   orix
-    #   pyxem
-debugpy==1.8.0
-    # via ipykernel
-decorator==5.1.1
-    # via
-    #   ipyparallel
-    #   ipython
-diffpy-structure==3.1.0
-    # via
-    #   diffsims
-    #   kikuchipy
-    #   orix
-diffsims==0.5.2
-    # via
-    #   kikuchipy
-    #   pyxem
-dill==0.3.7
-    # via hyperspy
 distlib==0.3.7
     # via virtualenv
-entrypoints==0.4
-    # via ipyparallel
 exceptiongroup==1.2.0
     # via pytest
-executing==2.0.1
-    # via stack-data
-fabio==2023.10.0
-    # via
-    #   pyfai
-    #   silx
-fasteners==0.19
-    # via zarr
 filelock==3.13.1
     # via virtualenv
 flatdict==4.0.1
     # via pynxtools (pyproject.toml)
 fonttools==4.45.1
     # via matplotlib
-fsspec==2023.10.0
-    # via
-    #   dask
-    #   hyperspy
-future==0.18.3
-    # via uncertainties
 ghp-import==2.1.0
     # via mkdocs
 gitdb==4.0.11
@@ -104,84 +51,22 @@ gitdb==4.0.11
 gitpython==3.1.40
     # via pynxtools (pyproject.toml)
 h5py==3.10.0
-    # via
-    #   fabio
-    #   hdf5plugin
-    #   hyperspy
-    #   kikuchipy
-    #   nionswift
-    #   orix
-    #   pyfai
-    #   pynxtools (pyproject.toml)
-    #   pyxem
-    #   silx
-hdf5plugin==4.3.0
-    # via fabio
-hyperspy==1.7.6
-    # via
-    #   kikuchipy
-    #   pynxtools (pyproject.toml)
-    #   pyxem
+    # via pynxtools (pyproject.toml)
 identify==2.5.33
     # via pre-commit
 idna==3.6
     # via requests
-imageio==2.27.0
-    # via
-    #   hyperspy
-    #   kikuchipy
-    #   nionswift
-    #   nionswift-io
-    #   nionui
-    #   scikit-image
 importlib-metadata==6.8.0
-    # via
-    #   dask
-    #   hyperspy
-    #   pynxtools (pyproject.toml)
+    # via pynxtools (pyproject.toml)
 iniconfig==2.0.0
     # via pytest
-ipykernel==6.27.1
-    # via ipyparallel
-ipyparallel==8.6.1
-    # via hyperspy
-ipython==8.12.3
-    # via
-    #   hyperspy
-    #   ipykernel
-    #   ipyparallel
-jedi==0.19.1
-    # via ipython
 jinja2==3.1.2
     # via
-    #   hyperspy
     #   mkdocs
     #   mkdocs-macros-plugin
     #   mkdocs-material
-joblib==1.3.2
-    # via scikit-learn
-jupyter-client==8.6.0
-    # via
-    #   ipykernel
-    #   ipyparallel
-jupyter-core==5.5.0
-    # via
-    #   ipykernel
-    #   jupyter-client
-kikuchipy==0.9.0
-    # via pynxtools (pyproject.toml)
 kiwisolver==1.4.5
     # via matplotlib
-lazy-loader==0.3
-    # via scikit-image
-llvmlite==0.41.1
-    # via numba
-lmfit==1.2.2
-    # via pyxem
-locket==1.0.0
-    # via partd
-lxml==4.9.3
-    # via fabio
 markdown==3.5.2
     # via
     #   mkdocs
@@ -192,21 +77,7 @@ markupsafe==2.1.3
     #   jinja2
     #   mkdocs
 matplotlib==3.7.4
-    # via
-    #   ase
-    #   diffsims
-    #   hyperspy
-    #   kikuchipy
-    #   matplotlib-scalebar
-    #   orix
-    #   pyfai
-    #   pyxem
-matplotlib-inline==0.1.6
-    # via
-    #   ipykernel
-    #   ipython
-matplotlib-scalebar==0.8.1
-    # via orix
+    # via ase
 mergedeep==1.3.4
     # via
     #   mkdocs
@@ -224,105 +95,28 @@ mkdocs-material-extensions==1.3.1
     # via
     #   mkdocs-material
     #   pynxtools (pyproject.toml)
-mpmath==1.3.0
-    # via sympy
 mypy==1.7.1
     # via pynxtools (pyproject.toml)
 mypy-extensions==1.0.0
     # via mypy
-natsort==8.4.0
-    # via hyperspy
-nest-asyncio==1.5.8
-    # via ipykernel
-networkx==3.1
-    # via scikit-image
-niondata==0.15.3
-    # via
-    #   nionswift
-    #   nionswift-io
-nionswift==0.16.8
-    # via pynxtools (pyproject.toml)
-nionswift-io==0.15.1
-    # via nionswift
-nionui==0.6.10
-    # via nionswift
-nionutils==0.4.6
-    # via
-    #   niondata
-    #   nionswift
-    #   nionswift-io
-    #   nionui
 nodeenv==1.8.0
     # via pre-commit
-numba==0.58.1
-    # via
-    #   diffsims
-    #   hyperspy
-    #   kikuchipy
-    #   orix
-    #   pyxem
-    #   sparse
-numcodecs==0.12.1
-    # via zarr
-numexpr==2.8.5
-    # via
-    #   hyperspy
-    #   pyfai
-    #   pyxem
 numpy==1.24.4
     # via
     #   ase
     #   contourpy
-    #   dask
-    #   diffsims
-    #   fabio
     #   h5py
-    #   hyperspy
-    #   imageio
-    #   kikuchipy
-    #   lmfit
     #   matplotlib
-    #   niondata
-    #   nionswift
-    #   nionswift-io
-    #   nionui
-    #   numba
-    #   numcodecs
-    #   numexpr
-    #   numpy-quaternion
-    #   orix
     #   pandas
-    #   pycifrw
-    #   pyfai
     #   pynxtools (pyproject.toml)
-    #   pywavelets
-    #   pyxem
-    #   scikit-image
-    #   scikit-learn
     #   scipy
-    #   silx
-    #   sparse
-    #   tifffile
     #   xarray
-    #   zarr
-numpy-quaternion==2022.4.3
-    # via orix
-orix==0.11.1
-    # via
-    #   diffsims
-    #   kikuchipy
-    #   pyxem
 packaging==23.2
     # via
     #   build
-    #   dask
-    #   hyperspy
-    #   ipykernel
     #   matplotlib
     #   mkdocs
-    #   pooch
     #   pytest
-    #   scikit-image
     #   xarray
 paginate==0.5.6
     # via mkdocs-material
@@ -330,66 +124,22 @@ pandas==2.0.3
     # via
     #   pynxtools (pyproject.toml)
     #   xarray
-parso==0.8.3
-    # via jedi
-partd==1.4.1
-    # via dask
 pathspec==0.12.1
     # via mkdocs
-pexpect==4.9.0
-    # via ipython
-pickleshare==0.7.5
-    # via ipython
 pillow==10.0.1
-    # via
-    #   fabio
-    #   hyperspy
-    #   imageio
-    #   matplotlib
-    #   nionswift
-    #   scikit-image
-pint==0.21.1
-    # via hyperspy
+    # via matplotlib
 pip-tools==7.3.0
     # via pynxtools (pyproject.toml)
 platformdirs==4.0.0
     # via
-    #   jupyter-core
     #   mkdocs
-    #   pooch
     #   virtualenv
 pluggy==1.3.0
     # via pytest
-ply==3.11
-    # via pycifrw
-pooch==1.8.0
-    # via
-    #   kikuchipy
-    #   orix
 pre-commit==3.5.0
     # via pynxtools (pyproject.toml)
-prettytable==3.9.0
-    # via hyperspy
-prompt-toolkit==3.0.41
-    # via ipython
-psutil==5.9.6
-    # via
-    #   diffsims
-    #   ipykernel
-    #   ipyparallel
-    #   pyxem
-ptyprocess==0.7.0
-    # via pexpect
-pure-eval==0.2.2
-    # via stack-data
-pycifrw==4.4.6
-    # via diffpy-structure
-pyfai==2023.9.0
-    # via pyxem
 pygments==2.17.2
-    # via
-    #   ipython
-    #   mkdocs-material
+    # via mkdocs-material
 pymdown-extensions==10.7
     # via mkdocs-material
 pyparsing==3.1.1
@@ -408,28 +158,17 @@ pytest-timeout==2.2.0
 python-dateutil==2.8.2
     # via
     #   ghp-import
-    #   hyperspy
-    #   ipyparallel
-    #   jupyter-client
     #   matplotlib
     #   mkdocs-macros-plugin
     #   pandas
 pytz==2023.3.post1
     # via
-    #   nionswift
     #   pandas
     #   pynxtools (pyproject.toml)
 pytz-deprecation-shim==0.1.0.post0
     # via tzlocal
-pywavelets==1.4.1
-    # via scikit-image
-pyxem==0.16.0
-    # via pynxtools (pyproject.toml)
 pyyaml==6.0.1
     # via
-    #   dask
-    #   hyperspy
-    #   kikuchipy
     #   mkdocs
     #   mkdocs-macros-plugin
     #   pre-commit
@@ -438,70 +177,24 @@ pyyaml==6.0.1
     #   pyyaml-env-tag
 pyyaml-env-tag==0.1
     # via mkdocs
-pyzmq==25.1.1
-    # via
-    #   ipykernel
-    #   ipyparallel
-    #   jupyter-client
 regex==2023.12.25
     # via mkdocs-material
 requests==2.31.0
-    # via
-    #   hyperspy
-    #   mkdocs-material
-    #   pooch
+    # via mkdocs-material
 ruff==0.1.7
     # via pynxtools (pyproject.toml)
-scikit-image==0.20.0
-    # via
-    #   hyperspy
-    #   kikuchipy
-    #   pyxem
-scikit-learn==1.3.2
-    # via
-    #   kikuchipy
-    #   pyxem
 scipy==1.9.1
     # via
     #   ase
-    #   diffsims
-    #   hyperspy
-    #   kikuchipy
-    #   lmfit
-    #   niondata
-    #   nionswift
-    #   orix
-    #   pyfai
     #   pynxtools (pyproject.toml)
-    #   pyxem
-    #   scikit-image
-    #   scikit-learn
-    #   sparse
-silx==1.1.2
-    # via pyfai
 six==1.16.0
-    # via
-    #   asttokens
-    #   diffpy-structure
-    #   python-dateutil
+    # via python-dateutil
 smmap==5.0.1
     # via gitdb
-sparse==0.14.0
-    # via hyperspy
-stack-data==0.6.3
-    # via ipython
 structlog==23.2.0
     # via pynxtools (pyproject.toml)
-sympy==1.12
-    # via hyperspy
 termcolor==2.4.0
     # via mkdocs-macros-plugin
-threadpoolctl==3.2.0
-    # via scikit-learn
-tifffile==2023.7.10
-    # via
-    #   hyperspy
-    #   scikit-image
 tomli==2.0.1
     # via
     #   build
@@ -510,41 +203,6 @@ tomli==2.0.1
     #   pip-tools
     #   pyproject-hooks
     #   pytest
-toolz==0.12.0
-    # via
-    #   dask
-    #   hyperspy
-    #   partd
-tornado==6.3.3
-    # via
-    #   ipykernel
-    #   ipyparallel
-    #   jupyter-client
-tqdm==4.66.1
-    # via
-    #   diffsims
-    #   hyperspy
-    #   ipyparallel
-    #   kikuchipy
-    #   orix
-    #   pyxem
-traitlets==5.14.0
-    # via
-    #   comm
-    #   ipykernel
-    #   ipyparallel
-    #   ipython
-    #   jupyter-client
-    #   jupyter-core
-    #   matplotlib-inline
-traits==6.4.3
-    # via
-    #   hyperspy
-    #   pyxem
-transforms3d==0.4.1
-    # via
-    #   diffsims
-    #   pyxem
 types-pytz==2023.3.1.1
     # via pynxtools (pyproject.toml)
 types-pyyaml==6.0.12.12
@@ -558,11 +216,7 @@ tzdata==2023.3
     #   pandas
     #   pytz-deprecation-shim
 tzlocal==4.3
-    # via
-    #   nionswift
-    #   pynxtools (pyproject.toml)
-uncertainties==3.1.7
-    # via lmfit
+    # via pynxtools (pyproject.toml)
 urllib3==2.1.0
     # via
     #   requests
@@ -571,16 +225,10 @@ virtualenv==20.25.0
     # via pre-commit
 watchdog==4.0.0
     # via mkdocs
-wcwidth==0.2.12
-    # via
-    #   prettytable
-    #   prompt-toolkit
 wheel==0.42.0
     # via pip-tools
 xarray==2023.1.0
     # via pynxtools (pyproject.toml)
-zarr==2.16.1
-    # via hyperspy
 zipfile37==0.1.3
     # via pynxtools (pyproject.toml)
 zipp==3.17.0
diff --git a/examples/em_nion/README.md b/examples/em_nion/README.md
deleted file mode 100644
index 324fd50c8..000000000
--- a/examples/em_nion/README.md
+++ /dev/null
@@ -1,24 +0,0 @@
-## em_nion reader
-
-This is an example how the em_nion parser/reader/data extractor can be used as a standalone
-tool to convert data and metadata from a compressed nionswift project into an NXem-formatted
-NeXus/HDF5 file. Further details to the functionalities of the parser are documented
-in the parsers sub-directory:
-
-```
-pynxtools/pynxtools/dataconverter/readers/em_nion
-```
-
-**Write.NXem_nion.Example.1.ipynb** is the Jupyter notebook which exemplies
-how the parser can be used as a standalone version, i.e. without NOMAD.
-
-**eln_data_em_nion.yaml** is a YAML/text file which contains relevant data which are not
-contained typically in files from technology partners. These data have been collected
-either by editing the file manually or by using an electronic lab notebook (ELN),
-such as the NOMAD ELN.
-A few example files from real atom probe reconstructions and ranging definitions are
-offered as downloads to run the example with the above-mentioned Juypter notebook.
-
-Every other ELN can be used with this parser provided that this ELN writes its data
-into a YAML file with the same keywords and structure as is exemplified in the
-above-mentioned YAML file.
\ No newline at end of file
diff --git a/examples/em_nion/Write.NXem_nion.Example.1.ipynb b/examples/em_nion/Write.NXem_nion.Example.1.ipynb
deleted file mode 100644
index 708a2e420..000000000
--- a/examples/em_nion/Write.NXem_nion.Example.1.ipynb
+++ /dev/null
@@ -1,287 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Using dataconverter/em_nion for mapping content of a nionswift project to NeXus/HDF5/NXem"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "### **Step 1:** Check that packages are installed and working in your local Python environment."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Check the result of the query below specifically that `jupyterlab_h5web` and `pynxtools` are installed in your environment.<br>\n",
-    "Note that next to the name pynxtools you should see the directory in which it is installed. Otherwise, make sure that you follow<br>\n",
-    "the instructions in the `README` files:  \n",
-    "- How to set up a development environment as in the main README  \n",
-    "- Lauch the jupyter lab from this environement as in the README of folder `examples`"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "! pip list | grep \"h5py\\|nexus\\|jupyter\" && jupyter serverextension list && jupyter labextension list && python -V"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Set the pynxtools directory and start H5Web for interactive exploring of HDF5 files."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import os\n",
-    "from jupyterlab_h5web import H5Web\n",
-    "print(f\"Current working directory: {os.getcwd()}\")\n",
-    "print(f\"So-called base, home, or root directory of the pynxtools: {os.getcwd().replace('/examples/em_nion', '')}\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### **Step 2:** Download Nionswift-specific example data or try out with one of your own datasets."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "Example data can be found on Zenodo http://dx.doi.org/10.5281/zenodo.7986279."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "import zipfile as zp"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "! wget https://www.zenodo.org/record/7986279/files/ger_berlin_haas_nionswift_multimodal.zip"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "zp.ZipFile(\"ger_berlin_haas_nionswift_multimodal.zip\").extractall(path=\"\", members=None, pwd=None)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "These files should serve exclusively as examples. <font color=\"orange\">The dataconverter em_nion for nionswift project always requires a pair of files</font>:\n",
-    "* A **YAML file with metadata** (either edited manually/or generated via an ELN).<br>\n",
-    "  The eln_data_apm.yaml file in the example can be edited with a text editor.<br>\n",
-    "* A **compressed zip.nionswift file** with the mime type/file name ending \\*.nionswift suffix.<br>\n",
-    "  This includes the *.nsproj file and a directory or directory nest with *.ndata and *.h5 files<br>\n",
-    "  which were generated from nionswift.<br>"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<div class=\"alert alert-block alert-info\">\n",
-    "For GUI-based editing, a NOMAD OASIS instance is needed.<br>\n",
-    "</div>"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<div class=\"alert alert-block alert-danger\">\n",
-    "Please note that the metadata inside the provided eln_data_em_nion.yaml file contains example values.<br>\n",
-    "These reflect not necessarily the conditions when the raw data for the example were collected!<br>\n",
-    "The file is meant to be edited by you if you work with datasets others than the here provided!<br>\n",
-    "</div>"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "### **Step 3:** Run the nionswift-specific dataconverter on the example data."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now we run our parser. The --reader flag takes the em_nion reader (em_nion), the --nxdl flag takes the application definition for this technique which is currently NXem.<br> "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### **Step 3a:** Optionally see the command line help of the dataconverter."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "! dataconverter --help"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### **Step 3b:** Optionally explore all paths which NXapm provides."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "# to inspect what can/should all be in the NeXus file\n",
-    "! dataconverter --nxdl NXem --generate-template"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### **Step 3c**: Convert the files in the example into an NXapm-compliant NeXus/HDF5 file."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "#parser-nexus/tests/data/tools/dataconverter/readers/em_om/\n",
-    "eln_data_file_name = [\"eln_data_em_nion.yaml\"]\n",
-    "swift_proj_file_name = [\"2022-02-18_Metadata_Kuehbach.zip.nionswift\"]\n",
-    "output_file_name = [\"nion.case1.nxs\"]\n",
-    "for case_id in [0]:\n",
-    "    ELN = eln_data_file_name[0]\n",
-    "    SWIFT = swift_proj_file_name[case_id]\n",
-    "    OUTPUT = output_file_name[case_id]\n",
-    "\n",
-    "    ! dataconverter --reader em_nion --nxdl NXem $ELN $SWIFT --output $OUTPUT"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The key take home message is that the command above-specified triggers the automatic creation of the HDF5 file. This *.nxs file, is an HDF5 file."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "### **Step 4:** Inspect the NeXus/HDF5 file using H5Web."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# H5Web(OUTPUT)\n",
-    "H5Web(\"nion.case1.nxs\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "You can also visualize the .nxs file by double clicking on it in the file explorer panel to the left side of your jupyter lab screen in the browser."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Contact person for the em_nion reader and related examples in FAIRmat:\n",
-    "Markus Kühbach, 2023/08/31<br>\n",
-    "\n",
-    "### Funding\n",
-    "<a href=\"https://www.fairmat-nfdi.eu/fairmat\">FAIRmat</a> is a consortium on research data management which is part of the German NFDI.<br>\n",
-    "The project is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – project 460197019."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.10.12"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/examples/em_nion/eln_data_em_nion.yaml b/examples/em_nion/eln_data_em_nion.yaml
deleted file mode 100644
index 455816c26..000000000
--- a/examples/em_nion/eln_data_em_nion.yaml
+++ /dev/null
@@ -1,63 +0,0 @@
-em_lab:
-  detector:
-  - local_name: Should better be inferred in the future from a Nion microscope instance description instead of having to add it every time manually.
-  ebeam_column:
-    aberration_correction:
-      applied: true
-    aperture_em:
-    - name: C1
-      value: 4
-    electron_source:
-      emitter_type: field_emission
-      voltage:
-        unit: V
-        value: 200000
-  fabrication:
-    capabilities: '---'
-    identifier: ChristophKochGroupsNionMicroscope
-    model: NionHermes200
-    vendor: Nion Co.
-  instrument_name: Nion Hermes 200kV
-  location: Berlin
-  optical_system_em:
-    beam_current:
-      unit: A
-      value: 1.2e-11
-    beam_current_description: estimated
-    magnification: 610000
-    semi_convergence_angle:
-      unit: rad
-      value: 0.2
-  stage_lab:
-    description: double tilt
-    name: nothing
-entry:
-  attr_version: nexus-fairmat-proposal successor of 9636feecb79bb32b828b1a9804269573256d7696
-  definition: NXem
-  end_time: '2023-05-25T14:44:00+01:00'
-  experiment_description: BenediktHaas_MultiModal_ImagingMode_TestDataSet
-  experiment_identifier: 2022-04-18-BenediktHaas
-  program: nionswift
-  program__attr_version: 0.16.8, this is what Markus used for implementing the nionswift project file reader but was it also the version used by Benedikt?
-  start_time: '2023-05-25T14:44:00+01:00'
-sample:
-  atom_types:
-  - Cu
-  description: test
-  method: experiment
-  name: Cu
-  preparation_date: '2023-05-25T14:44:00+01:00'
-  sample_history: unknown
-  short_title: Cu
-  thickness:
-    unit: m
-    value: 2.0e-08
-user:
-- name: MarkusK
-  orcid: '0000'
-- email: '----'
-  name: Benedikt
-- name: Sherjeel
-  affiliation: HU Berlin
-- name: Christoph
-  role: B1 task leader
diff --git a/examples/em_om/README.md b/examples/em_om/README.md
deleted file mode 100644
index eb665bf93..000000000
--- a/examples/em_om/README.md
+++ /dev/null
@@ -1,37 +0,0 @@
-## em_om reader
-
-This is an example how the em_om parser/reader/data extractor can be used as a
-standalone tool to convert data and metadata from different sources into an
-NXem_ebsd-formatted NeXus/HDF5 file. Further details to the functionalities of the
-parser are documented in the parsers sub-directory:
-
-```
-pynxtools/pynxtools/dataconverter/readers/em_om
-```
-
-**Write.NXem_ebsd.Example.1.ipynb** is the Jupyter notebook which exemplies
-how the parser can be used as a standalone version, i.e. without NOMAD.
-
-**eln_data_em_om.yaml** is a YAML/text file which contains relevant data which are not
-contained typically in files from technology partners. These data have been collected
-either by editing the file manually or by using an electronic lab notebook (ELN),
-such as the NOMAD ELN.
-A few example files from real electron backscatter diffraction measurements are
-offered as downloads to run the example with the above-mentioned Juypter notebook.
-
-Every other ELN can be used with this parser provided that this ELN writes its data
-into a YAML file with the same keywords and structure as is exemplified in the
-above-mentioned YAML file.
-
-### Map data from Matlab/MTex to NXem_ebsd
-The download material includes several \*.mtex files. These reflect that the
-em_om parser can handle data which have been generated with the Matlab/MTex
-texture tool box. These \*.mtex files are currently an exchange file format
-to map data from the MTex internal representation to something which the em_om
-parser understands and can map to NXem_ebsd. You are very much invited to test this
-feature. The feature requires, though, a specific extension of the MTex toolbox,
-which is an MTex/Matlab script surplus a wrapper for the HDF5 library to enable
-writing HDF5 files with more flexible data structures and attributes.
-We tested this extension with Matlab>=2021 and MTex>=5.8.2.
-Please contact Markus Kühbach directly if you are interested in testing this feature
-and contribute thereby to make EBSD data more interoperable.
\ No newline at end of file
diff --git a/examples/em_om/Write.NXem_ebsd.Example.1.ipynb b/examples/em_om/Write.NXem_ebsd.Example.1.ipynb
deleted file mode 100644
index 6e948a942..000000000
--- a/examples/em_om/Write.NXem_ebsd.Example.1.ipynb
+++ /dev/null
@@ -1,377 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Using dataconverter/em_om for mapping EBSD/Orientation Microscopy to NeXus/HDF5/NXem_ebsd"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "### **Step 1:** Check that packages are installed and working in your local Python environment."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Check the result of the query below specifically that `jupyterlab_h5web` and `pynxtools` are installed in your environment.<br>\n",
-    "Note that next to the name pynxtools you should see the directory in which it is installed. Otherwise, make sure that you follow<br>\n",
-    "the instructions in the `README` files:  \n",
-    "- How to set up a development environment as in the main README  \n",
-    "- Lauch the jupyter lab from this environement as in the README of folder `examples`"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "! pip list | grep \"h5py\\|nexus\\|jupyter\" && jupyter serverextension list && jupyter labextension list && python -V"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Set the pynxtools directory and start H5Web for interactive exploring of HDF5 files."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import os\n",
-    "from jupyterlab_h5web import H5Web\n",
-    "print(f\"Current working directory: {os.getcwd()}\")\n",
-    "print(f\"So-called base, home, or root directory of the pynxtools: {os.getcwd().replace('/examples/em_om', '')}\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### **Step 2:** Download EM-OM-specific example data or use your own datasets."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "Example data can be found on Zenodo https://dx.doi.org/10.5281/zenodo.7885531."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import zipfile as zp"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "! curl --output em_om_sprint14_01.zip https://zenodo.org/record/7885531/files/em_om_sprint14_01.zip\n",
-    "! curl --output em_om_sprint14_02.zip https://zenodo.org/record/7885531/files/em_om_sprint14_02.zip"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "zp.ZipFile(\"em_om_sprint14_01.zip\").extractall(path=\"\", members=None, pwd=None)\n",
-    "zp.ZipFile(\"em_om_sprint14_02.zip\").extractall(path=\"\", members=None, pwd=None)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "These files should serve exclusively as examples. <font color=\"orange\">The dataconverter for EM-OM always requires at least one file</font>:\n",
-    "\n",
-    "**When you only would like to store conventions**:<br>\n",
-    "* **YAML file with metadata** (either edited manually or via an ELN).<br>\n",
-    "  The eln_data_em_om.yaml file in the example can be edited with a text editor.\n",
-    "\n",
-    "**When you would like to store conventions surplus stack of simulated Kikuchi images**:<br>\n",
-    "* **YAML file with metadata**<br>\n",
-    "* **ZIP archive with images all using the same format, rectangular dimensions, and file type**<br>\n",
-    "\n",
-    "**When you would like to store conventions surplus H5OINA EBSD mapping**:<br>\n",
-    "* **YAML file with metadata**<br>\n",
-    "* **H5OINA file as obtained from Oxford Instrument AZTec (>=5.0)**<br>\n",
-    "\n",
-    "**When you would like to store conventions surplus have transcoded EBSD results from MTex**:<br>\n",
-    "* **YAML file with metadata**<br>\n",
-    "* **\\*.mtex file as obtained by running the specific MTex to NeXus transcoder** (see second info box below for details)<br>"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<div class=\"alert alert-block alert-info\">\n",
-    "For GUI-based editing, a NOMAD OASIS instance is needed.<br>\n",
-    "</div>"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<div class=\"alert alert-block alert-danger\">\n",
-    "Please note that the metadata inside the provided eln_data_em_om.yaml file are example values.<br>\n",
-    "These reflect not necessarily the conditions when the raw data for the example were collected!<br>\n",
-    "The file is meant to be edited by you if you work with datasets others than the here provided!<br>\n",
-    "</div>"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<div class=\"alert alert-block alert-info\">\n",
-    "Feel free to contact the maintainer of this example to learn more about the parsing capabilities of SEM/EBSD data in NOMAD.<br>\n",
-    "We have also a draft version which supports importing results from MatLab/MTex and DREAM.3D. We would like to get in contact<br>\n",
-    "to document and develop these further, ideally using as diverse examples as possible, maybe also including one of your examples?<br>\n",
-    "</div>"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "### **Step 3:** Run the EBSD-specific dataconverter on the example data."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now we run our parser. The --reader flag takes the em_om reader, the --nxdl flag takes the application definition for this technique NXem_ebsd."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### **Step 3a:** Optionally see the command line help of the dataconverter."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "! dataconverter --help"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### **Step 3b:** Optionally explore all paths which NXem provides."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "! dataconverter --nxdl NXem_ebsd --reader em_om --generate-template"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### **Step 3c**: Convert the files in the example into an NXem_ebsd-compliant NeXus/HDF5 file."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<div class=\"alert alert-block alert-info\">\n",
-    "In what follows we will show several of the examples that have been implemented for SEM/EBSD.<br>\n",
-    "</div>"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "#### Only conventions:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "# parser-nexus/tests/data/tools/dataconverter/readers/em/\n",
-    "output_file_name = [\"em_om.case0.nxs\"]\n",
-    "! dataconverter \\\n",
-    "--reader em_om \\\n",
-    "--nxdl NXem_ebsd \\\n",
-    "eln_data_em_om.yaml \\\n",
-    "--output \"em_om.case0.nxs\""
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "#### Conventions and different data sources:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "scrolled": true,
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "#parser-nexus/tests/data/tools/dataconverter/readers/em_om/\n",
-    "import numpy as np\n",
-    "eln_data_file_name = [\"eln_data_em_om.yaml\"]\n",
-    "input_data_file_name = [\"PrcShanghaiShi.EBSPs70deg.zip\",\n",
-    "                        \"H5OINA_examples_Specimen_1_Map_EDS_+_EBSD_Map_Data_2.h5oina\",\n",
-    "                        \"Forsterite.ctf.mtex\",\n",
-    "                        \"SmallIN100_Final.dream3d\"]\n",
-    "output_file_name = [\"em_om.case1.nxs\",\n",
-    "                    \"em_om.case2.nxs\",\n",
-    "                    \"em_om.case3e.nxs\",\n",
-    "                    \"em_om.case4.nxs\"]\n",
-    "for case_id in np.arange(0, 3 + 1):\n",
-    "    ELN = eln_data_file_name[0]\n",
-    "    INPUT = input_data_file_name[case_id]\n",
-    "    OUTPUT = output_file_name[case_id]\n",
-    "\n",
-    "    ! dataconverter --reader em_om --nxdl NXem_ebsd $ELN $INPUT --output $OUTPUT"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The key take home message is that the command above-specified triggers the automatic creation of the HDF5 file. This *.nxs file, is an HDF5 file."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "### **Step 4:** Inspect the HDF5/NeXus file using H5Web"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# H5Web(OUTPUT)\n",
-    "H5Web(\"em_om.case0.nxs\")\n",
-    "# H5Web(\"em_om.case1.nxs\")\n",
-    "# H5Web(\"em_om.case2.nxs\")\n",
-    "# H5Web(\"em_om.case3e.nxs\")\n",
-    "# H5Web(\"em_om.case4.nxs\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Here is where the general template ends. Continue with filling in the notebook with your own post-processing of this *.nxs file."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "***"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Contact person for this example in FAIRmat:\n",
-    "Markus Kühbach"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Contact person for the apm reader and related examples in FAIRmat:\n",
-    "Markus Kühbach, 2023/08/31<br>\n",
-    "\n",
-    "### Funding\n",
-    "<a href=\"https://www.fairmat-nfdi.eu/fairmat\">FAIRmat</a> is a consortium on research data management which is part of the German NFDI.<br>\n",
-    "The project is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – project 460197019."
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.10.12"
-  },
-  "vscode": {
-   "interpreter": {
-    "hash": "fb9c1bd38c7663f011bf442e740f4844d912585f80182885cfafffa0a1ff37a6"
-   }
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/examples/em_om/eln_data_em_om.yaml b/examples/em_om/eln_data_em_om.yaml
deleted file mode 100644
index 383d15d2a..000000000
--- a/examples/em_om/eln_data_em_om.yaml
+++ /dev/null
@@ -1,65 +0,0 @@
-entry:
-  attr_version: nexus-fairmat-proposal successor of 9636feecb79bb32b828b1a9804269573256d7696
-  definition: NXem_ebsd
-  workflow_identifier: test_id
-  workflow_description: test_description
-  start_time: 2023-02-04T14:43:00.000Z
-  end_time: 2023-02-04T14:43:00.000Z
-  program: nexusutils/dataconverter/readers/em_om.py
-  program__attr_version: undefined
-user:
-- name: Markus Kühbach
-commercial_on_the_fly_indexing:
-  program: TSL EDAX
-  program__attr_version: v6.0
-  results_file: test.ang
-  results_file__attr_version: n/a
-measurement:
-  origin: undefined
-  origin__attr_version: should be collected if possible automatically by parser or RDMS
-  path: undefined
-calibration:
-  origin: undefined
-  origin__attr_version: should be collected if possible automatically by parser or RDMS
-  path: undefined
-rotation_conventions:
-  three_dimensional_rotation_handedness: counter_clockwise
-  rotation_convention: passive
-  euler_angle_convention: zxz
-  axis_angle_convention: rotation_angle_on_interval_zero_to_pi
-  sign_convention: p_minus_one
-processing_reference_frame:
-  reference_frame_type: right_handed_cartesian
-  xaxis_direction: east
-  xaxis_alias: rolling direction (RD)
-  yaxis_direction: south
-  yaxis_alias: transverse direction (TD)
-  zaxis_direction: undefined
-  zaxis_alias: normal direction (ND)
-  origin: front_top_left
-sample_reference_frame:
-  reference_frame_type: right_handed_cartesian
-  xaxis_direction: east
-  yaxis_direction: south
-  zaxis_direction: undefined
-  origin: front_top_left
-detector_reference_frame:
-  reference_frame_type: right_handed_cartesian
-  xaxis_direction: east
-  yaxis_direction: south
-  zaxis_direction: undefined
-  origin: front_top_left
-gnomonic_projection:
-  gnomonic_projection_reference_frame:
-    reference_frame_type: right_handed_cartesian
-    xaxis_direction: east
-    yaxis_direction: south
-    zaxis_direction: undefined
-    origin: in_the_pattern_centre
-  pattern_centre:
-    xaxis_boundary_convention: top
-    xaxis_normalization_direction: east
-    yaxis_boundary_convention: top
-    yaxis_normalization_direction: south
-indexing:
-  method: hough_transform
diff --git a/examples/em_spctrscpy/README.md b/examples/em_spctrscpy/README.md
deleted file mode 100644
index 7b9a31cbd..000000000
--- a/examples/em_spctrscpy/README.md
+++ /dev/null
@@ -1,24 +0,0 @@
-## em_spctrscpy reader
-
-This is an example how the em_spctrscpy parser/reader/data extractor can be used as a
-standalone tool to convert data and metadata from different sources into an NXem-formatted
-NeXus/HDF5 file. Further details to the functionalities of the parser are documented
-in the parsers sub-directory:
-
-```
-pynxtools/pynxtools/dataconverter/readers/em_spctrscpy
-```
-
-**Write.NXem.Example.1.ipynb** is the Jupyter notebook which exemplies
-how the parser can be used as a standalone version, i.e. without NOMAD.
-
-**eln_data_em_spctrscpy.yaml** is a YAML/text file which contains relevant data which are not
-contained typically in files from technology partners. These data have been collected
-either by editing the file manually or by using an electronic lab notebook (ELN),
-such as the NOMAD ELN.
-A few example files from real electron microscopy measurements are offered as downloads
-to run the example with the above-mentioned Juypter notebook.
-
-Every other ELN can be used with this parser provided that this ELN writes its data
-into a YAML file with the same keywords and structure as is exemplified in the
-above-mentioned YAML file.
\ No newline at end of file
diff --git a/examples/em_spctrscpy/Write.NXem.Example.1.ipynb b/examples/em_spctrscpy/Write.NXem.Example.1.ipynb
deleted file mode 100644
index 0c50f173f..000000000
--- a/examples/em_spctrscpy/Write.NXem.Example.1.ipynb
+++ /dev/null
@@ -1,349 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Using dataconverter/em_spctrscpy for mapping EDX(S) and EELS spectroscopy as well as electron microscopy images to NeXus/HDF5/NXem"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "### **Step 1:** Check that packages are installed and working in your local Python environment."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Check the result of the query below specifically that `jupyterlab_h5web` and `pynxtools` are installed in your environment.<br>\n",
-    "Note that next to the name pynxtools you should see the directory in which it is installed. Otherwise, make sure that you follow<br>\n",
-    "the instructions in the `README` files:  \n",
-    "- How to set up a development environment as in the main README  \n",
-    "- Lauch the jupyter lab from this environement as in the README of folder `examples`"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "! pip list | grep \"h5py\\|nexus\\|jupyter\" && jupyter serverextension list && jupyter labextension list && python -V"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Set the pynxtools directory and start H5Web for interactive exploring of HDF5 files."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import os\n",
-    "from jupyterlab_h5web import H5Web\n",
-    "print(f\"Current working directory: {os.getcwd()}\")\n",
-    "print(f\"So-called base, home, or root directory of the pynxtools: {os.getcwd().replace('/examples/em_spctrscpy', '')}\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### **Step 2:** Download EM-SPCTRSCPY-specific example data or use your own dataset."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "Example data can be found on Zenodo https://zenodo.org/record/7908429."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "import zipfile as zp"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "! curl --output EM.Various.Datasets.1.zip https://zenodo.org/record/7908429/files/EM.Various.Datasets.1.zip"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "zp.ZipFile(\"EM.Various.Datasets.1.zip\").extractall(path=\"\", members=None, pwd=None)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "These files should serve exclusively as examples. <font color=\"orange\">The dataconverter for EM-SPCTRSCPY always requires a pair of files</font>:\n",
-    "* A **YAML file with metadata** (either edited manually or via an ELN).<br>\n",
-    "  The eln_data_em_spctrscpy.yaml file in the example can be edited with a text editor.<br>\n",
-    "* A **community or technology partner / vendor file** with the data from the microscope session.<br>\n",
-    "  Hyperspy is used for parsing, tests were performed for DM3, BCF, and Velox EMD files.<br>"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<div class=\"alert alert-block alert-info\">\n",
-    "For GUI-based editing, a NOMAD OASIS instance is needed.<br>\n",
-    "</div>"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<div class=\"alert alert-block alert-danger\">\n",
-    "Please note that the metadata inside the provided eln_data_em_spctrscpy.yaml file contains example values.<br>\n",
-    "These reflect not necessarily the conditions when the raw data for the example were collected!<br>\n",
-    "The file is meant to be edited by you if you work with datasets others than the here provided!<br>\n",
-    "</div>"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "### **Step 3:** Run the EM-spectroscopy-specific dataconverter on the example data."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now we run our parser. The --reader flag takes the em_spctrscpy reader, the --nxdl flag takes the application definition for this technique NXem.<br>"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### **Step 3a:** Optionally see the command line help of the dataconverter."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "! dataconverter --help"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### **Step 3b:** Optionally explore all paths which NXem provides."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "! dataconverter --nxdl NXem --reader em_spctrscpy --generate-template"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### **Step 3c**: Convert the files in the example into an NXem-compliant NeXus/HDF5 file."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "#parser-nexus/tests/data/tools/dataconverter/readers/em_spctrscpy/\n",
-    "eln_data_file_name = [\"eln_data_em_spctrscpy.yaml\"]\n",
-    "input_data_file_name = [\"46_ES-LP_L1_brg.bcf\",\n",
-    "                        \"1613_Si_HAADF_610_kx.emd\",\n",
-    "                        \"EELS_map_2_ROI_1_location_4.dm3\"]\n",
-    "output_file_name = [\"em_sp.case1.nxs\",\n",
-    "                    \"em_sp.case2.nxs\",\n",
-    "                    \"em_sp.case3.nxs\"]\n",
-    "for case_id in [0, 1, 2]:\n",
-    "    ELN = eln_data_file_name[0]\n",
-    "    INPUT = input_data_file_name[case_id]\n",
-    "    OUTPUT = output_file_name[case_id]\n",
-    "\n",
-    "    ! dataconverter --reader em_spctrscpy --nxdl NXem $ELN $INPUT --output $OUTPUT"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The key take home message is that the command above-specified triggers the automatic creation of the HDF5 file. This *.nxs file, is an HDF5 file."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "### **Step 4:** Inspect the NeXus/HDF5 file using H5Web"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# H5Web(OUTPUT)\n",
-    "H5Web(\"em_sp.case1.nxs\")\n",
-    "# H5Web(\"em_sp.case2.nxs\")\n",
-    "# H5Web(\"em_sp.case3.nxs\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### **Optional:** Generate synthetic data for testing and development purposes"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The apm reader has a functionality to generate synthetic dataset which are meant for pursuing code development."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "! dataconverter --reader em_spctrscpy --nxdl NXem synthesize1 --output em_sp.case0.nxs"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "H5Web(\"em_sp.case0.nxs\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Here is where the general template ends. Continue with filling in the notebook with your own post-processing of this *.nxs file."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "***"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Contact person for this example in FAIRmat:\n",
-    "Markus Kühbach"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Contact person for the apm reader and related examples in FAIRmat:\n",
-    "Markus Kühbach, 2023/08/31<br>\n",
-    "\n",
-    "### Funding\n",
-    "<a href=\"https://www.fairmat-nfdi.eu/fairmat\">FAIRmat</a> is a consortium on research data management which is part of the German NFDI.<br>\n",
-    "The project is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – project 460197019."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.10.12"
-  },
-  "vscode": {
-   "interpreter": {
-    "hash": "fb9c1bd38c7663f011bf442e740f4844d912585f80182885cfafffa0a1ff37a6"
-   }
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/examples/em_spctrscpy/eln_data_em_spctrscpy.yaml b/examples/em_spctrscpy/eln_data_em_spctrscpy.yaml
deleted file mode 100644
index 68d5d3730..000000000
--- a/examples/em_spctrscpy/eln_data_em_spctrscpy.yaml
+++ /dev/null
@@ -1,64 +0,0 @@
-em_lab:
-  detector:
-  - local_name: EDS detector
-  ebeam_column:
-    aperture_em:
-    - name: condensed
-      value: 4
-    aberration_correction:
-      applied: true
-    electron_source:
-      emitter_type: field_emission
-      # cold_cathode_
-      name: some
-      voltage:
-        unit: V
-        value: 200000
-  instrument_name: TALOS
-  location: EPFL
-  fabrication:
-    capabilities: many
-    identifier: undisclosed
-    model: unknown
-    vendor: TALOS
-  optical_system_em:
-    beam_current:
-      unit: A
-      value: 1.2e-11
-    beam_current_description: estimated
-    magnification: 610000
-    semi_convergence_angle:
-      unit: rad
-      value: 0.2
-  stage_lab:
-    description: nothing
-    name: double tilt
-entry:
-  attr_version: nexus-fairmat-proposal successor of 9636feecb79bb32b828b1a9804269573256d7696
-  definition: NXem
-  end_time: '2022-08-11T14:23:00+00:00'
-  experiment_description: '1613'
-  experiment_identifier: '1613'
-  program: Velox
-  program__attr_version: v6.8
-  start_time: '2022-08-03T14:23:00+00:00'
-sample:
-  atom_types:
-  - Al
-  - Nd
-  - O
-  description: test
-  method: experiment
-  name: 1613_Si
-  preparation_date: '2022-08-11T14:25:00+00:00'
-  sample_history: unknown
-  short_title: '1613'
-  thickness:
-    unit: m
-    value: 2.0e-08
-user:
-- name: MarkusK
-  orcid: '0000'
-  orcid_platform: orcid
-- email: '-----'
-  name: MarkusS
diff --git a/pynxtools/dataconverter/readers/em_nion/README.md b/pynxtools/dataconverter/readers/em_nion/README.md
deleted file mode 100644
index 648e1d919..000000000
--- a/pynxtools/dataconverter/readers/em_nion/README.md
+++ /dev/null
@@ -1,41 +0,0 @@
-# em_nion reader
-
-## Purpose
-Parse convertable content from data and metadata inside an nionswift project to NXem.
-
-## Input required
-* eln_data.yaml file, contextualizing information entered via ELN (user, sample)
-* *.nszip, rename *.zip file with the nionswift *.nsproj project file and its data objects
-  renamed from zip to nszip to avoid that it gets unpacked during the upload
-
-## Configuration files
-For nionswift most data objects are not necessarily linked to concepts available in NeXus.
-Internally, nionswift organizes data and metadata as so-called display_items. These can be
-thought of as smart objects which have their data and metadata surplus a uuid, a creation
-time and a (last) modification time whereby the place in the object hierarchy documented by
-the nsproj tree is defined.
-These display_items can be images captured during a microscope session, they can be processed
-data within nionswift, images, spectra, or even higher-dimensional objects which wrap
-n-dimensional numpy arrays.
-There is no direct conceptualization in nionswift what an object bests represents as a
-concept, is the object representing an image with metadata or an EELS spectrum, or an
-omega-q mapping.
-Therefore, we use configuration files whereby the rules are implemented how the
-em_nion parsers decides which metadata have to be offered in a particular formatted way
-by the object so that it qualifies to represent an instance of a respective NeXus concept
-offered via NXem, e.g. NXimage_set, NXspectrum_set, NXhyperstack_set.
-The configuration files are used to reduce the amount of hard-coded information transfer
-to a minimum. But given that different concepts demand different types of e.g. dimension
-scale axes to resolve to useful/sensible instance of such concept some concept-specific
-parts of the reader are hardcoded.
-
-## Output
-The em_nion reader returns an instance of an NXem NeXus HDF5 file where data for
-recognized concepts are mapped with the data and some of their metadata.
-
-## TODO
-* Add example and describe
-* Remove the focus of the README.md on the NOMAD OASIS product
-
-## Contact person for this reader
-Markus Kühbach
\ No newline at end of file
diff --git a/pynxtools/dataconverter/readers/em_nion/__init__.py b/pynxtools/dataconverter/readers/em_nion/__init__.py
deleted file mode 100644
index e69de29bb..000000000
diff --git a/pynxtools/dataconverter/readers/em_nion/map_concepts/README.md b/pynxtools/dataconverter/readers/em_nion/map_concepts/README.md
deleted file mode 100644
index 113f7d7e7..000000000
--- a/pynxtools/dataconverter/readers/em_nion/map_concepts/README.md
+++ /dev/null
@@ -1,12 +0,0 @@
-## Scope
-
-Here we store the json dictionaries whereby the parser identifies if a certain
-nionswift display_item can be mapped to an available logical NeXus concept.
-
-The dictionary is very similar to the approach taken by the jsonmap_reader.
-However the order of the dictionary is reversed. Namely, the keys of the dictionary
-identify specific names in the json metadata dictionary representation of nionswift.
-The left (value) part of the dictionary is a tuple of a string giving the corresponding
-variadic (template) path in NXem onto which a value is mapped, the second value in the
-tuple is numpy.dtype, if that value is str only then there is a third entry
-in the tuple which identifies the expected dimensionality of the data.
diff --git a/pynxtools/dataconverter/readers/em_nion/map_concepts/swift_display_items_to_nx.py b/pynxtools/dataconverter/readers/em_nion/map_concepts/swift_display_items_to_nx.py
deleted file mode 100644
index 0fc2675de..000000000
--- a/pynxtools/dataconverter/readers/em_nion/map_concepts/swift_display_items_to_nx.py
+++ /dev/null
@@ -1,107 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Utility for analyzing swift data/metadata of display_items to identify NeXus concepts."""
-
-# pylint: disable=no-member
-
-import flatdict as fd
-
-
-metadata_constraints = {
-    "type": str,
-    "uuid": str,
-    "created": str,
-    "data_shape": list,
-    "data_dtype": str,
-    "is_sequence": bool,
-    "dimensional_calibrations": list,
-    "data_modified": str,
-    "timezone": str,
-    "timezone_offset": str,
-    "metadata/hardware_source/hardware_source_id": str,
-    "version": int,
-    "modified": str,
-}
-
-nexus_concept_dict = {
-    "ITULL": "NxImageSetRealSpace",
-    "IFLL": "NxImageSetRealSpace",
-    "IFL": None,
-    "ITUL": None,
-    "STUUE": "NxSpectrumSetEelsOmegaQ",
-    "STULLE": "NxSpectrumSetEels",
-    "STULLUE": "NxSpectrumSetOmegaQ",
-    "SFLLUE": "NxSpectrumSetOmegaQ",
-    "SFLLE": "NxSpectrumSetEels",
-    "SFUE": "NxSpectrumSetEelsOmegaQ",
-    "RFAA": "NxImageAngSpace",
-    "RTUAA": "NxImageAngSpace",
-}
-
-
-def check_existence_of_required_fields(dct: dict, constraint_dct: dict) -> bool:
-    """Checks if given dictionary has fields with values which match constraints."""
-    flat_dct = fd.FlatDict(dct, delimiter="/")
-    for keyword, dtyp in constraint_dct.items():
-        if keyword not in flat_dct.keys():
-            print(f"-->{keyword} not keyword")
-            return False
-        if not isinstance(flat_dct[keyword], dtyp):
-            print(f"-->{keyword} not instance")
-            return False
-    return True
-
-
-def identify_nexus_concept_key(dct: dict) -> str:
-    """Identifies best candidate to map data/metadata on a NeXus concept."""
-    # ##MK::imporve that we work ideally always with the flattened dictionary
-    nexus_concept_key = "UNKNOWN"
-    if check_existence_of_required_fields(dct, metadata_constraints) is False:
-        return nexus_concept_key
-    lst_unit_catg = []
-    for axis_dict in dct["dimensional_calibrations"]:  # inspect axes in sequence
-        if isinstance(axis_dict, dict):
-            if set(axis_dict.keys()) == set(["offset", "scale", "units"]):
-                unit_arg = axis_dict["units"].lower()
-                if unit_arg == "":
-                    lst_unit_catg.append("U")
-                elif unit_arg in ["nm"]:  # replace by pint to pick up on any length
-                    lst_unit_catg.append("L")
-                elif unit_arg in ["ev"]:  # replace by pint to pick up on any enery
-                    lst_unit_catg.append("E")
-                elif unit_arg in ["rad"]:  # replace by pint to pick up on angle unit
-                    lst_unit_catg.append("A")
-                else:
-                    return nexus_concept_key
-        set_unit_catg = set(lst_unit_catg)
-
-        if "A" in set_unit_catg:
-            nexus_concept_key = (
-                f"R{str(dct['is_sequence']).upper()[0:1]}{''.join(lst_unit_catg)}"
-            )
-        elif "E" in set_unit_catg:
-            nexus_concept_key = (
-                f"S{str(dct['is_sequence']).upper()[0:1]}{''.join(lst_unit_catg)}"
-            )
-        elif "E" not in set_unit_catg:
-            nexus_concept_key = (
-                f"I{str(dct['is_sequence']).upper()[0:1]}{''.join(lst_unit_catg)}"
-            )
-        else:
-            return nexus_concept_key
-    return nexus_concept_key
diff --git a/pynxtools/dataconverter/readers/em_nion/map_concepts/swift_eln_to_nx_map.py b/pynxtools/dataconverter/readers/em_nion/map_concepts/swift_eln_to_nx_map.py
deleted file mode 100644
index f7d7e8566..000000000
--- a/pynxtools/dataconverter/readers/em_nion/map_concepts/swift_eln_to_nx_map.py
+++ /dev/null
@@ -1,214 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Dict mapping custom schema instances from eln_data.yaml file on concepts in NXem."""
-
-# pylint: disable=no-member,line-too-long
-
-# releasing line-too-long restriction to avoid having line breaks in the mapping table
-# made the experience that when having a widescreen working with the mapping table
-# as single-line instructions is more convenient to read and parsable by human eye
-
-# there are several issues with the current design of how data from the eln_data.yaml are passed
-# some quantities from a custom schema instance end up as list of dictionaries, like here
-# aperture and user, however in this mapping approach they would demand concept-specific
-# modifiers to be picked up by, currently the em_spctrscpy, em_om, apm examples individually
-# parse relevant quantities for each section which makes the code difficult to read and
-# unnecessarily lengthy, with em_nion we would like to test if instead we can use
-# a set of mapping tables whereby to read content from a custom schema instance eln_data.yaml
-# results file directly into the template which the em_nion reader has to fill and pass
-# then to the data converter
-
-NxEmElnInput = {
-    "IGNORE": {"fun": "load_from_dict_list", "terms": "em_lab/detector"},
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "em_lab/ebeam_column/aberration_correction/applied",
-    },
-    "IGNORE": {
-        "fun": "load_from_dict_list",
-        "terms": "em_lab/ebeam_column/aperture_em",
-    },
-    "/ENTRY[entry*]/em_lab/EBEAM_COLUMN[ebeam_column]/electron_source/emitter_type": {
-        "fun": "load_from",
-        "terms": "em_lab/ebeam_column/electron_source/emitter_type",
-    },
-    "/ENTRY[entry*]/em_lab/EBEAM_COLUMN[ebeam_column]/electron_source/voltage/@units": {
-        "fun": "load_from",
-        "terms": "em_lab/ebeam_column/electron_source/voltage/unit",
-    },
-    "/ENTRY[entry*]/em_lab/EBEAM_COLUMN[ebeam_column]/electron_source/voltage": {
-        "fun": "load_from",
-        "terms": "em_lab/ebeam_column/electron_source/voltage/value",
-    },
-    "/ENTRY[entry*]/em_lab/FABRICATION[fabrication]/capabilities": {
-        "fun": "load_from",
-        "terms": "em_lab/fabrication/capabilities",
-    },
-    "/ENTRY[entry*]/em_lab/FABRICATION[fabrication]/identifier": {
-        "fun": "load_from",
-        "terms": "em_lab/fabrication/identifier",
-    },
-    "/ENTRY[entry*]/em_lab/FABRICATION[fabrication]/model": {
-        "fun": "load_from",
-        "terms": "em_lab/fabrication/model",
-    },
-    "/ENTRY[entry*]/em_lab/FABRICATION[fabrication]/vendor": {
-        "fun": "load_from",
-        "terms": "em_lab/fabrication/vendor",
-    },
-    "/ENTRY[entry*]/em_lab/instrument_name": {
-        "fun": "load_from",
-        "terms": "em_lab/instrument_name",
-    },
-    "/ENTRY[entry*]/em_lab/location": {"fun": "load_from", "terms": "em_lab/location"},
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "em_lab/optical_system_em/beam_current/unit",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "em_lab/optical_system_em/beam_current/value",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "em_lab/optical_system_em/beam_current_description",
-    },
-    "IGNORE": {"fun": "load_from", "terms": "em_lab/optical_system_em/magnification"},
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "em_lab/optical_system_em/semi_convergence_angle/unit",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "em_lab/optical_system_em/semi_convergence_angle/value",
-    },
-    "/ENTRY[entry*]/em_lab/stage_lab/description": {
-        "fun": "load_from",
-        "terms": "em_lab/stage_lab/description",
-    },
-    "/ENTRY[entry*]/em_lab/stage_lab/name": {
-        "fun": "load_from",
-        "terms": "em_lab/stage_lab/name",
-    },
-    "/ENTRY[entry*]/@version": {"fun": "load_from", "terms": "entry/attr_version"},
-    "/ENTRY[entry*]/definition": {"fun": "load_from", "terms": "entry/definition"},
-    "/ENTRY[entry*]/end_time": {"fun": "load_from", "terms": "entry/end_time"},
-    "/ENTRY[entry*]/experiment_description": {
-        "fun": "load_from",
-        "terms": "entry/experiment_description",
-    },
-    "/ENTRY[entry*]/experiment_identifier": {
-        "fun": "load_from",
-        "terms": "entry/experiment_identifier",
-    },
-    "/ENTRY[entry*]/PROGRAM[program*]/program": {
-        "fun": "load_from",
-        "terms": "entry/program",
-    },
-    "/ENTRY[entry*]/PROGRAM[program*]/program/@version": {
-        "fun": "load_from",
-        "terms": "entry/program__attr_version",
-    },
-    "/ENTRY[entry*]/start_time": {"fun": "load_from", "terms": "entry/start_time"},
-    "IGNORE": {"fun": "load_from_list_of_dict", "terms": "user"},
-}
-
-# NeXus concept specific mapping tables which require special treatment as the current
-# NOMAD OASIS custom schema implementation delivers them as a list of dictionaries instead
-# of a directly flattenable list of keyword, value pairs
-
-NxApertureEmFromListOfDict = {
-    "/ENTRY[entry*]/em_lab/EBEAM_COLUMN[ebeam_column]/APERTURE_EM[aperture_em*]/name": {
-        "fun": "load_from",
-        "terms": "name",
-    },
-    "/ENTRY[entry*]/em_lab/EBEAM_COLUMN[ebeam_column]/APERTURE_EM[aperture_em*]/value": {
-        "fun": "load_from",
-        "terms": "value",
-    },
-}
-
-NxUserFromListOfDict = {
-    "/ENTRY[entry*]/USER[user*]/name": {"fun": "load_from", "terms": "name"},
-    "/ENTRY[entry*]/USER[user*]/affiliation": {
-        "fun": "load_from",
-        "terms": "affiliation",
-    },
-    "/ENTRY[entry*]/USER[user*]/address": {"fun": "load_from", "terms": "address"},
-    "/ENTRY[entry*]/USER[user*]/email": {"fun": "load_from", "terms": "email"},
-    "/ENTRY[entry*]/USER[user*]/orcid": {"fun": "load_from", "terms": "orcid"},
-    "/ENTRY[entry*]/USER[user*]/orcid_platform": {
-        "fun": "load_from",
-        "terms": "orcid_platform",
-    },
-    "/ENTRY[entry*]/USER[user*]/telephone_number": {
-        "fun": "load_from",
-        "terms": "telephone_number",
-    },
-    "/ENTRY[entry*]/USER[user*]/role": {"fun": "load_from", "terms": "role"},
-    "/ENTRY[entry*]/USER[user*]/social_media_name": {
-        "fun": "load_from",
-        "terms": "social_media_name",
-    },
-    "/ENTRY[entry*]/USER[user*]/social_media_platform": {
-        "fun": "load_from",
-        "terms": "social_media_platform",
-    },
-}
-
-NxDetectorListOfDict = {
-    "/ENTRY[entry*]/em_lab/DETECTOR[detector*]/local_name": {
-        "fun": "load_from",
-        "terms": "local_name",
-    }
-}
-
-# atom_types is a good example for specific cases where one cannot just blindly map
-# the list that comes from the custom schema ELN instance, because
-# people may enter invalid types of atoms (which would generate problems in NOMAD OASIS)
-# and for NeXus we would like to have a "string of a comma-separated list of element names"
-
-NxSample = {
-    "IGNORE": {"fun": "load_from", "terms": "sample/atom_types"},
-    "/ENTRY[entry*]/sample/description": {
-        "fun": "load_from",
-        "terms": "sample/description",
-    },
-    "/ENTRY[entry*]/sample/method": {"fun": "load_from", "terms": "sample/method"},
-    "/ENTRY[entry*]/sample/name": {"fun": "load_from", "terms": "sample/name"},
-    "/ENTRY[entry*]/sample/preparation_date": {
-        "fun": "load_from",
-        "terms": "sample/preparation_date",
-    },
-    "/ENTRY[entry*]/sample/sample_history": {
-        "fun": "load_from",
-        "terms": "sample/sample_history",
-    },
-    "/ENTRY[entry*]/sample/short_title": {
-        "fun": "load_from",
-        "terms": "sample/short_title",
-    },
-    "/ENTRY[entry*]/sample/thickness": {
-        "fun": "load_from",
-        "terms": "sample/thickness/value",
-    },
-    "/ENTRY[entry*]/sample/thickness/@units": {
-        "fun": "load_from",
-        "terms": "sample/thickness/unit",
-    },
-}
diff --git a/pynxtools/dataconverter/readers/em_nion/map_concepts/swift_to_nx_image_ang_space.py b/pynxtools/dataconverter/readers/em_nion/map_concepts/swift_to_nx_image_ang_space.py
deleted file mode 100644
index 3b6aa9b22..000000000
--- a/pynxtools/dataconverter/readers/em_nion/map_concepts/swift_to_nx_image_ang_space.py
+++ /dev/null
@@ -1,152 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""The constraints defining if a swift display_item is assumed a NxImageAngSpace concept."""
-
-# pylint: disable=no-member,line-too-long
-
-# AngSpace, i.e. AngularSpace is not Reciprocal space, recall the following
-# RealSpace unit category for dimension scale axes is (NX_)LENGTH
-# AngSpace unit category for dimension scale axes is (NX_)ANGLE
-# ReciSpace unit category for dimension scale axis is ONE_OVER_LENGTH (not in NeXus yet...)
-
-# releasing line-too-long restriction to avoid having line breaks in the mapping table
-# made the experience that when having a widescreen working with the mapping table
-# as single-line instructions is more convenient to read and parsable by human eye
-
-
-NxImageAngSpaceDict = {
-    "IGNORE": {"fun": "load_from", "terms": "type"},
-    "IGNORE": {"fun": "load_from", "terms": "uuid"},
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/start_time": {
-        "fun": "convert_iso8601",
-        "terms": ["created", "timezone"],
-    },
-    "IGNORE": {"fun": "load_from", "terms": "is_sequence"},
-    "IGNORE": {"fun": "load_from", "terms": "intensity_calibration/offset"},
-    "IGNORE": {"fun": "load_from", "terms": "intensity_calibration/scale"},
-    "IGNORE": {"fun": "load_from", "terms": "intensity_calibration/units"},
-    "IGNORE": {"fun": "load_from", "terms": "dimensional_calibrations"},
-    "IGNORE": {"fun": "load_from", "terms": "timezone_offset"},
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/IMAGE[ronchicam]/PROCESS[process]/binning": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/autostem/Acquisition:Binning",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/IMAGE[ronchicam]/PROCESS[process]/dark_mode": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/autostem/Acquisition:DarkMode",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/IMAGE[ronchicam]/PROCESS[process]/exposure_time": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/autostem/Acquisition:ExposureTime(s)",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/IMAGE[ronchicam]/PROCESS[process]/exposure_time": "s",
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/IMAGE[ronchicam]/PROCESS[process]/gain_mode": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/autostem/Acquisition:GainMode",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/IMAGE[ronchicam]/PROCESS[process]/flipped": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/autostem/Acquisition:IsFlipped",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/IMAGE[ronchicam]/PROCESS[process]/readout_tlbr": {
-        "fun": "load_from",
-        "terms": [
-            "metadata/hardware_source/autostem/Acquisition:ReadOutTop",
-            "metadata/hardware_source/autostem/Acquisition:ReadOutLeft",
-            "metadata/hardware_source/autostem/Acquisition:ReadOutBottom",
-            "metadata/hardware_source/autostem/Acquisition:ReadOutRight",
-        ],
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/IMAGE[ronchicam]/PROCESS[process]/normalization": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/autostem/Acquisition:ValueNormalization",
-    },
-    "IGNORE": {"fun": "load_from", "terms": "metadata/hardware_source/source"},
-    "IGNORE": {"fun": "load_from", "terms": "metadata/hardware_source/timestamp"},
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/sensor_dimensions_hw",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/sensor_readout_area_tlbr",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/is_flipped_horizontally",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/is_gain_corrected",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/is_dark_subtracted",
-    },
-    "IGNORE": {"fun": "load_from", "terms": "metadata/hardware_source/frame_number"},
-    "IGNORE": {"fun": "load_from", "terms": "metadata/hardware_source/time_point_ns"},
-    "IGNORE": "ns",
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/integration_count",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/counts_per_electron",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/IMAGE[ronchicam]/detector_identifier": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/hardware_source_id",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/hardware_source_name",
-    },
-    "IGNORE": {"fun": "load_from", "terms": "metadata/hardware_source/exposure"},
-    "IGNORE": {"fun": "load_from", "terms": "metadata/hardware_source/binning"},
-    "IGNORE": {"fun": "load_from", "terms": "metadata/hardware_source/signal_type"},
-    "IGNORE": {"fun": "load_from", "terms": "metadata/hardware_source/valid_rows"},
-    "IGNORE": {"fun": "load_from", "terms": "metadata/hardware_source/frame_index"},
-    "IGNORE": {"fun": "load_from", "terms": "metadata/hardware_source/channel_index"},
-    "IGNORE": {"fun": "load_from", "terms": "metadata/hardware_source/reference_key"},
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_COLUMN[ebeam_column]/electron_source/voltage": {
-        "fun": "load_from",
-        "terms": "metadata/instrument/high_tension",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_COLUMN[ebeam_column]/electron_source/voltage/@units": "V",
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/OPTICAL_SYSTEM_EM[optical_system_em]/defocus": {
-        "fun": "load_from",
-        "terms": "metadata/instrument/defocus",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/OPTICAL_SYSTEM_EM[optical_system_em]/defocus": "m",
-    "IGNORE": {"fun": "load_from", "terms": "title"},
-    "IGNORE": {"fun": "load_from", "terms": "session_id"},
-    "IGNORE": {"fun": "load_from", "terms": "session"},
-    "IGNORE": {"fun": "load_from", "terms": "category"},
-    "IGNORE": {"fun": "load_from", "terms": "version"},
-    "IGNORE": {"fun": "load_from", "terms": "modified"},
-    "IGNORE": {"fun": "load_from", "terms": "data_shape"},
-    "IGNORE": {"fun": "load_from", "terms": "data_dtype"},
-    "IGNORE": {"fun": "load_from", "terms": "collection_dimension_count"},
-    "IGNORE": {"fun": "load_from", "terms": "datum_dimension_count"},
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/end_time": {
-        "fun": "convert_iso8601",
-        "terms": ["data_modified", "timezone"],
-    },
-    "IGNORE": {"fun": "load_from", "terms": "__large_format"},
-}
diff --git a/pynxtools/dataconverter/readers/em_nion/map_concepts/swift_to_nx_image_real_space.py b/pynxtools/dataconverter/readers/em_nion/map_concepts/swift_to_nx_image_real_space.py
deleted file mode 100644
index b8f670ced..000000000
--- a/pynxtools/dataconverter/readers/em_nion/map_concepts/swift_to_nx_image_real_space.py
+++ /dev/null
@@ -1,492 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""The constraints defining if a swift display_item is assumed a NxImageRealSpace concept."""
-
-# pylint: disable=no-member,line-too-long
-
-# releasing line-too-long restriction to avoid having line breaks in the mapping table
-# made the experience that when having a widescreen working with the mapping table
-# as single-line instructions is more convenient to read and parsable by human eye
-
-# current issues:
-# hard-coding currently the ebeam deflector is problematic as it is
-# to just make the name variadic but then assume there is always only one
-# in the specific case of a Nion microscope and which information is available typically
-# via swift there one would get information about the scanbox for which the closest
-# match is NXebeam_deflector and there is only one scanbox at an Nion Hermes 200
-# but one could customize this implementation here and instead resolve how the scanbox
-# is composed of individual groups of deflection coils in which case one could also
-# think about using one NXebeam_deflector for every single coil...
-
-NxImageRealSpaceDict = {
-    "IGNORE": {"fun": "load_from", "terms": "type"},
-    "IGNORE": {"fun": "load_from", "terms": "uuid"},
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/start_time": {
-        "fun": "convert_iso8601",
-        "terms": ["created", "timezone"],
-    },
-    "IGNORE": {"fun": "load_from", "terms": "is_sequence"},
-    "IGNORE": {"fun": "load_from", "terms": "intensity_calibration/offset"},
-    "IGNORE": {"fun": "load_from", "terms": "intensity_calibration/scale"},
-    "IGNORE": {"fun": "load_from", "terms": "intensity_calibration/units"},
-    "IGNORE": {"fun": "load_from", "terms": "dimensional_calibrations"},
-    "IGNORE": {"fun": "load_from", "terms": "timezone"},
-    "IGNORE": {"fun": "load_from", "terms": "timezone_offset"},
-    "IGNORE": {"fun": "load_from", "terms": "metadata/instrument/high_tension"},
-    "IGNORE": {"fun": "load_from", "terms": "metadata/instrument/defocus"},
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_COLUMN[ebeam_column]/electron_source/voltage": {
-        "fun": "load_from",
-        "terms": "metadata/instrument/ImageScanned/EHT",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_COLUMN[ebeam_column]/electron_source/voltage/@units": "V",
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/instrument/ImageScanned/PMTBF_gain",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/instrument/ImageScanned/PMTDF_gain",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/STAGE_LAB[stage_lab]/tilt1": {
-        "fun": "load_from",
-        "terms": "metadata/instrument/ImageScanned/StageOutA",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/STAGE_LAB[stage_lab]/tilt1/@units": "deg",
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/STAGE_LAB[stage_lab]/tilt2": {
-        "fun": "load_from",
-        "terms": "metadata/instrument/ImageScanned/StageOutB",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/STAGE_LAB[stage_lab]/tilt2/@units": "deg",
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/STAGE_LAB[stage_lab]/position": {
-        "fun": "load_from",
-        "terms": [
-            "metadata/instrument/ImageScanned/StageOutX",
-            "metadata/instrument/ImageScanned/StageOutY",
-            "metadata/instrument/ImageScanned/StageOutZ",
-        ],
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/STAGE_LAB[stage_lab]/position/@units": "m",
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_COLUMN[ebeam_column]/aberration_correction/ZEMLIN_TABLEAU/PROCESS[process]/nion/c_1_0/magnitude": {
-        "fun": "load_from",
-        "terms": "metadata/instrument/ImageScanned/C10",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_COLUMN[ebeam_column]/aberration_correction/ZEMLIN_TABLEAU/PROCESS[process]/nion/c_1_0/magnitude/@units": "m",
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_COLUMN[ebeam_column]/aberration_correction/ZEMLIN_TABLEAU/PROCESS[process]/nion/c_1_2_a/magnitude": {
-        "fun": "load_from",
-        "terms": "metadata/instrument/ImageScanned/C12.a",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_COLUMN[ebeam_column]/aberration_correction/ZEMLIN_TABLEAU/PROCESS[process]/nion/c_1_2_a/magnitude/@units": "m",
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_COLUMN[ebeam_column]/aberration_correction/ZEMLIN_TABLEAU/PROCESS[process]/nion/c_1_2_b/magnitude": {
-        "fun": "load_from",
-        "terms": "metadata/instrument/ImageScanned/C12.b",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_COLUMN[ebeam_column]/aberration_correction/ZEMLIN_TABLEAU/PROCESS[process]/nion/c_1_2_b/magnitude/@units": "m",
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_COLUMN[ebeam_column]/aberration_correction/ZEMLIN_TABLEAU/PROCESS[process]/nion/c_2_1_a/magnitude": {
-        "fun": "load_from",
-        "terms": "metadata/instrument/ImageScanned/C21.a",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_COLUMN[ebeam_column]/aberration_correction/ZEMLIN_TABLEAU/PROCESS[process]/nion/c_2_1_a/magnitude/@units": "m",
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_COLUMN[ebeam_column]/aberration_correction/ZEMLIN_TABLEAU/PROCESS[process]/nion/c_2_1_b/magnitude": {
-        "fun": "load_from",
-        "terms": "metadata/instrument/ImageScanned/C21.b",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_COLUMN[ebeam_column]/aberration_correction/ZEMLIN_TABLEAU/PROCESS[process]/nion/c_2_1_b/magnitude/@units": "m",
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_COLUMN[ebeam_column]/aberration_correction/ZEMLIN_TABLEAU/PROCESS[process]/nion/c_2_3_a/magnitude": {
-        "fun": "load_from",
-        "terms": "metadata/instrument/ImageScanned/C23.a",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_COLUMN[ebeam_column]/aberration_correction/ZEMLIN_TABLEAU/PROCESS[process]/nion/c_2_3_a/magnitude/@units": "m",
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_COLUMN[ebeam_column]/aberration_correction/ZEMLIN_TABLEAU/PROCESS[process]/nion/c_2_3_b/magnitude": {
-        "fun": "load_from",
-        "terms": "metadata/instrument/ImageScanned/C23.b",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_COLUMN[ebeam_column]/aberration_correction/ZEMLIN_TABLEAU/PROCESS[process]/nion/c_2_3_b/magnitude/@units": "m",
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_COLUMN[ebeam_column]/aberration_correction/ZEMLIN_TABLEAU/PROCESS[process]/nion/c_3_0/magnitude": {
-        "fun": "load_from",
-        "terms": "metadata/instrument/ImageScanned/C30",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_COLUMN[ebeam_column]/aberration_correction/ZEMLIN_TABLEAU/PROCESS[process]/nion/c_3_0/magnitude/@units": "m",
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_COLUMN[ebeam_column]/aberration_correction/ZEMLIN_TABLEAU/PROCESS[process]/nion/c_3_2_a/magnitude": {
-        "fun": "load_from",
-        "terms": "metadata/instrument/ImageScanned/C32.a",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_COLUMN[ebeam_column]/aberration_correction/ZEMLIN_TABLEAU/PROCESS[process]/nion/c_3_2_a/magnitude/@units": "m",
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_COLUMN[ebeam_column]/aberration_correction/ZEMLIN_TABLEAU/PROCESS[process]/nion/c_3_2_b/magnitude": {
-        "fun": "load_from",
-        "terms": "metadata/instrument/ImageScanned/C32.b",
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-    "UNCLEAR": {"fun": "load_from", "terms": "metadata/hardware_source/view_id"},
-    "IGNORE": {"fun": "load_from", "terms": "title"},
-    "IGNORE": {"fun": "load_from", "terms": "session_id"},
-    "IGNORE": {"fun": "load_from", "terms": "session"},
-    "IGNORE": {"fun": "load_from", "terms": "category"},
-    "IGNORE": {"fun": "load_from", "terms": "version"},
-    "IGNORE": {"fun": "load_from", "terms": "modified"},
-    "IGNORE": {"fun": "load_from", "terms": "data_shape"},
-    "IGNORE": {"fun": "load_from", "terms": "data_dtype"},
-    "IGNORE": {"fun": "load_from", "terms": "collection_dimension_count"},
-    "IGNORE": {"fun": "load_from", "terms": "datum_dimension_count"},
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/end_time": {
-        "fun": "convert_iso8601",
-        "terms": ["data_modified", "timezone"],
-    },
-}
diff --git a/pynxtools/dataconverter/readers/em_nion/map_concepts/swift_to_nx_spectrum_eels.py b/pynxtools/dataconverter/readers/em_nion/map_concepts/swift_to_nx_spectrum_eels.py
deleted file mode 100644
index 1ec51c571..000000000
--- a/pynxtools/dataconverter/readers/em_nion/map_concepts/swift_to_nx_spectrum_eels.py
+++ /dev/null
@@ -1,654 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""The constraints defining if a swift display_item is assumed a NxSpectrumSetEels concept."""
-
-# pylint: disable=no-member,line-too-long
-
-# releasing line-too-long restriction to avoid having line breaks in the mapping table
-# made the experience that when having a widescreen working with the mapping table
-# as single-line instructions is more convenient to read and parsable by human eye
-
-
-NxSpectrumEels = {
-    "IGNORE": {"fun": "load_from", "terms": "type"},
-    "IGNORE": {"fun": "load_from", "terms": "uuid"},
-    "IGNORE": {"fun": "convert_iso8601", "terms": ["created", "timezone"]},
-    "IGNORE": {"fun": "load_from", "terms": "is_sequence"},
-    "IGNORE": {"fun": "load_from", "terms": "intensity_calibration/offset"},
-    "IGNORE": {"fun": "load_from", "terms": "intensity_calibration/scale"},
-    "IGNORE": {"fun": "load_from", "terms": "intensity_calibration/units"},
-    "IGNORE": {"fun": "load_from", "terms": "dimensional_calibrations"},
-    "IGNORE": {"fun": "load_from", "terms": "timezone_offset"},
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/header_info/header_detail",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/header_info/htype",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/header_info/series",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/auto_summation",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/beam_center_x",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/beam_center_y",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/bit_depth_image",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/bit_depth_readout",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/chi_increment",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/chi_start",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/compression",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/count_time",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/countrate_correction_applied",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/countrate_correction_count_cutoff",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/data_collection_date",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/description",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/detector_distance",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/detector_number",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/detector_readout_time",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/detector_translation",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/eiger_fw_version",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/element",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/flatfield_correction_applied",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/frame_count_time",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/frame_period",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/frame_time",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/kappa_increment",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/kappa_start",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/nimages",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/ntrigger",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/number_of_excluded_pixels",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/omega_increment",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/omega_start",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/phi_increment",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/phi_start",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/photon_energy",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/pixel_mask_applied",
-    },
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-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/roi_mode",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/sensor_material",
-    },
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-        "terms": "metadata/hardware_source/detector_configuration/sensor_thickness",
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-    "IGNORE": {
-        "fun": "load_from",
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-        "fun": "load_from",
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-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/trigger_mode",
-    },
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-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/two_theta_increment",
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-        "terms": "metadata/hardware_source/detector_configuration/two_theta_start",
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-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/virtual_pixel_correction_applied",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/wavelength",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/x_pixel_size",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/x_pixels_in_detector",
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-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/y_pixel_size",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/y_pixels_in_detector",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/camera_processing_parameters/bad_pixels",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/camera_processing_parameters/processing",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/camera_processing_parameters/flip_l_r",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/camera_processing_parameters/binning",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/camera_processing_parameters/chip_size",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/camera_processing_parameters/sensor_dimensions",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/camera_processing_parameters/readout_area",
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-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/camera_processing_parameters/countrate_correction_cutoff",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/camera_processing_parameters/interpolate_racetracks",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/camera_processing_parameters/mark_saturated_pixels",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/camera_processing_parameters/apply_countrate_correction",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/camera_processing_parameters/countrate_correction_factor",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/camera_processing_parameters/apply_gain_correction",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/camera_processing_parameters/always_interpolate_racetracks",
-    },
-    "IGNORE": {"fun": "load_from", "terms": "metadata/hardware_source/high_tension"},
-    "IGNORE": {"fun": "load_from", "terms": "metadata/hardware_source/defocus"},
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/ImageRonchigram/EHT",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/ImageRonchigram/MajorOL",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/ImageRonchigram/StageOutA",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/ImageRonchigram/StageOutB",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/ImageRonchigram/StageOutX",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/ImageRonchigram/StageOutY",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/ImageRonchigram/StageOutZ",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/ImageRonchigram/probe_ha",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/ImageRonchigram/SuperFEG.^EmissionCurrent",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/ImageRonchigram/LastTuneCurrent",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/ImageRonchigram/C10",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/ImageRonchigram/C12.a",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/ImageRonchigram/C12.b",
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-        "fun": "load_from",
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-        "fun": "load_from",
-        "terms": "metadata/hardware_source/ImageRonchigram/C21.b",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/ImageRonchigram/C23.a",
-    },
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-        "fun": "load_from",
-        "terms": "metadata/hardware_source/ImageRonchigram/C23.b",
-    },
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-        "fun": "load_from",
-        "terms": "metadata/hardware_source/ImageRonchigram/C30",
-    },
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-        "fun": "load_from",
-        "terms": "metadata/hardware_source/ImageRonchigram/C32.a",
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-        "fun": "load_from",
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-        "fun": "load_from",
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-        "fun": "load_from",
-        "terms": "metadata/hardware_source/ImageRonchigram/C34.b",
-    },
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-        "fun": "load_from",
-        "terms": "metadata/hardware_source/ImageRonchigram/C50",
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-        "fun": "load_from",
-        "terms": "metadata/hardware_source/hardware_source_name",
-    },
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-    "IGNORE": {"fun": "load_from", "terms": "metadata/hardware_source/signal_type"},
-    "IGNORE": {"fun": "load_from", "terms": "metadata/scan/hardware_source_id"},
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-        "fun": "load_from",
-        "terms": ["metadata/scan/center_x_nm", "metadata/scan/center_y_nm"],
-    },
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-    "IGNORE": {"fun": "load_from", "terms": "metadata/scan/scan_context_size"},
-    "IGNORE": {"fun": "load_from", "terms": "metadata/scan/scan_size"},
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-        "fun": "load_from",
-        "terms": "metadata/scan/scan_device_parameters/size",
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-        "fun": "load_from",
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-    },
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-        "fun": "load_from",
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-    },
-    "IGNORE": "nm",
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-        "fun": "load_from",
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-        "fun": "load_from",
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-    },
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-        "fun": "load_from",
-        "terms": "metadata/instrument/ImageScanned/PMTBF_gain",
-    },
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-        "fun": "load_from",
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-    },
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-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/instrument/ImageScanned/HAADF_Outer_ha",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/instrument/ImageScanned/GeometricProbeSize",
-    },
-    "UNCLEAR": {
-        "fun": "load_from",
-        "terms": "metadata/MultiAcquire.settings/x_shifter",
-    },
-    "UNCLEAR": {"fun": "load_from", "terms": "metadata/MultiAcquire.settings/blanker"},
-    "UNCLEAR": {
-        "fun": "load_from",
-        "terms": "metadata/MultiAcquire.settings/x_shift_delay",
-    },
-    "UNCLEAR": {"fun": "load_from", "terms": "metadata/MultiAcquire.settings/focus"},
-    "UNCLEAR": {
-        "fun": "load_from",
-        "terms": "metadata/MultiAcquire.settings/focus_delay",
-    },
-    "UNCLEAR": {
-        "fun": "load_from",
-        "terms": "metadata/MultiAcquire.settings/auto_dark_subtract",
-    },
-    "UNCLEAR": {
-        "fun": "load_from",
-        "terms": "metadata/MultiAcquire.settings/processing",
-    },
-    "UNCLEAR": {
-        "fun": "load_from",
-        "terms": "metadata/MultiAcquire.settings/blanker_delay",
-    },
-    "UNCLEAR": {
-        "fun": "load_from",
-        "terms": "metadata/MultiAcquire.settings/sum_frames",
-    },
-    "UNCLEAR": {
-        "fun": "load_from",
-        "terms": "metadata/MultiAcquire.settings/camera_hardware_source_id",
-    },
-    "UNCLEAR": {
-        "fun": "load_from",
-        "terms": "metadata/MultiAcquire.settings/use_multi_eels_calibration",
-    },
-    "UNCLEAR": {
-        "fun": "load_from",
-        "terms": "metadata/MultiAcquire.settings/shift_each_sequence_slice",
-    },
-    "UNCLEAR": {
-        "fun": "load_from",
-        "terms": "metadata/MultiAcquire.settings/y_shifter",
-    },
-    "UNCLEAR": {
-        "fun": "load_from",
-        "terms": "metadata/MultiAcquire.settings/x_units_per_ev",
-    },
-    "UNCLEAR": "eV",
-    "UNCLEAR": {
-        "fun": "load_from",
-        "terms": "metadata/MultiAcquire.settings/y_units_per_px",
-    },
-    "UNCLEAR": {
-        "fun": "load_from",
-        "terms": "metadata/MultiAcquire.settings/y_shift_delay",
-    },
-    "UNCLEAR": {
-        "fun": "load_from",
-        "terms": "metadata/MultiAcquire.settings/saturation_value",
-    },
-    "UNCLEAR": {"fun": "load_from", "terms": "metadata/MultiAcquire.settings/y_align"},
-    "UNCLEAR": {
-        "fun": "load_from",
-        "terms": "metadata/MultiAcquire.settings/stitch_spectra",
-    },
-    "UNCLEAR": {"fun": "load_from", "terms": "metadata/MultiAcquire.parameters/index"},
-    "UNCLEAR": {
-        "fun": "load_from",
-        "terms": "metadata/MultiAcquire.parameters/offset_x",
-    },
-    "UNCLEAR": {
-        "fun": "load_from",
-        "terms": "metadata/MultiAcquire.parameters/offset_y",
-    },
-    "UNCLEAR": {
-        "fun": "load_from",
-        "terms": "metadata/MultiAcquire.parameters/exposure_ms",
-    },
-    "UNCLEAR": "ms",
-    "UNCLEAR": {"fun": "load_from", "terms": "metadata/MultiAcquire.parameters/frames"},
-    "IGNORE": {"fun": "load_from", "terms": "title"},
-    "IGNORE": {"fun": "load_from", "terms": "session_id"},
-    "IGNORE": {"fun": "load_from", "terms": "session"},
-    "IGNORE": {"fun": "load_from", "terms": "category"},
-    "IGNORE": {"fun": "load_from", "terms": "version"},
-    "IGNORE": {"fun": "load_from", "terms": "modified"},
-    "IGNORE": {"fun": "load_from", "terms": "data_shape"},
-    "IGNORE": {"fun": "load_from", "terms": "data_dtype"},
-    "IGNORE": {"fun": "load_from", "terms": "collection_dimension_count"},
-    "IGNORE": {"fun": "load_from", "terms": "datum_dimension_count"},
-    "IGNORE": {"fun": "convert_iso8601", "terms": ["data_modified", "timezone"]},
-    "UNCLEAR": {"fun": "load_from", "terms": "session/site"},
-}
-
-# {"fun": "convert_iso8601", "terms": ["created", "timezone"]}
diff --git a/pynxtools/dataconverter/readers/em_nion/reader.py b/pynxtools/dataconverter/readers/em_nion/reader.py
deleted file mode 100644
index d387b54e8..000000000
--- a/pynxtools/dataconverter/readers/em_nion/reader.py
+++ /dev/null
@@ -1,115 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Parser for loading generic orientation microscopy data based on ."""
-
-# pylint: disable=no-member
-
-from typing import Tuple, Any
-
-from pynxtools.dataconverter.readers.base.reader import BaseReader
-
-from pynxtools.dataconverter.readers.em_nion.utils.swift_define_io_cases import (
-    EmNionUseCaseSelector,
-)
-
-from pynxtools.dataconverter.readers.em_nion.utils.swift_load_generic_eln import (
-    NxEmNionElnSchemaParser,
-)
-
-from pynxtools.dataconverter.readers.em_nion.utils.swift_zipped_project_parser import (
-    NxEmNionSwiftProjectParser,
-)
-
-from pynxtools.dataconverter.readers.em_spctrscpy.utils.em_nexus_plots import (
-    em_spctrscpy_default_plot_generator,
-)
-
-
-class EmNionReader(BaseReader):
-    """Parse content from nionswift projects.
-
-    Specifically, electron microscopy
-    towards a NXem.nxdl-compliant NeXus file.
-    """
-
-    # pylint: disable=too-few-public-methods
-
-    # Whitelist for the NXDLs that the reader supports and can process
-    supported_nxdls = ["NXem"]
-
-    # pylint: disable=duplicate-code
-    def read(
-        self,
-        template: dict = None,
-        file_paths: Tuple[str] = None,
-        objects: Tuple[Any] = None,
-    ) -> dict:
-        """Read data from given file, return filled template dictionary em."""
-        # pylint: disable=duplicate-code
-        template.clear()
-
-        # this em_om parser combines multiple sub-parsers
-        # so we need the following input:
-        # logical analysis which use case
-        # data input from an ELN (using an ELN-agnostic) YAML representation
-        # data input from technology partner files, here zipped nionswift project
-        # directory and file renamed from ending with zip to nszip
-        # functionalities for creating default plots
-
-        entry_id = 1
-
-        print("Parse ELN and compressed nionswift project content...")
-        case = EmNionUseCaseSelector(file_paths)
-        if case.is_valid is False:
-            print("Such a combination of input-file(s, if any) is not supported !")
-            return {}
-
-        print("Parse (meta)data coming from an ELN...")
-        if case.eln_parser_type == "generic":
-            eln = NxEmNionElnSchemaParser(case.eln[0], entry_id)
-            eln.parse(template)
-        else:
-            print("No interpretable ELN input found!")
-            return {}
-
-        print("Parse (numerical) data and metadata from nionswift project...")
-        if case.prj_parser_type == "nionswift":
-            swift_parser = NxEmNionSwiftProjectParser(case.prj[0], entry_id)
-            swift_parser.parse(template)
-        else:
-            print("No input-file defined for technology partner data !")
-
-        # at this point the default plots exist already
-        # we only need to decorate the template to point to the mandatory ROI overview
-        print("Create NeXus default plottable data...")
-        em_spctrscpy_default_plot_generator(template, entry_id)
-
-        debugging = False
-        if debugging is True:
-            print("Reporting state of template before passing to HDF5 writing...")
-            for keyword in template.keys():
-                print(keyword)
-                # print(type(template[keyword]))
-                # print(f"{keyword}, {template[keyword]}")
-
-        print("Forward instantiated template to the NXS writer...")
-        return template
-
-
-# This has to be set to allow the convert script to use this reader.
-READER = EmNionReader
diff --git a/pynxtools/dataconverter/readers/em_nion/utils/em_nion_versioning.py b/pynxtools/dataconverter/readers/em_nion/utils/em_nion_versioning.py
deleted file mode 100644
index 28bf202c6..000000000
--- a/pynxtools/dataconverter/readers/em_nion/utils/em_nion_versioning.py
+++ /dev/null
@@ -1,34 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Utility tool constants and versioning."""
-
-# pylint: disable=no-member
-
-from pynxtools.dataconverter.readers.shared.shared_utils import get_repo_last_commit
-
-
-NX_EM_NION_ADEF_NAME = "NXem"
-NX_EM_NION_ADEF_VERSION = (
-    "nexus-fairmat-proposal successor of " "9636feecb79bb32b828b1a9804269573256d7696"
-)
-# based on https://fairmat-experimental.github.io/nexus-fairmat-proposal
-NX_EM_NION_EXEC_NAME = "dataconverter/reader/em_nion/reader.py"
-NX_EM_NION_EXEC_VERSION = get_repo_last_commit()
-
-NX_EM_NION_SWIFT_NAME = "nionswift"
-NX_EM_NION_SWIFT_VERSION = "0.16.8"
diff --git a/pynxtools/dataconverter/readers/em_nion/utils/swift_define_io_cases.py b/pynxtools/dataconverter/readers/em_nion/utils/swift_define_io_cases.py
deleted file mode 100644
index f729d4df7..000000000
--- a/pynxtools/dataconverter/readers/em_nion/utils/swift_define_io_cases.py
+++ /dev/null
@@ -1,84 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Utility class handling which community/technology partner files for em_nion reader."""
-
-# pylint: disable=no-member,duplicate-code,too-few-public-methods
-
-from typing import Tuple, Dict, List
-
-
-class EmNionUseCaseSelector:
-    """Decision maker about what needs to be parsed given arbitrary input.
-
-    Users might invoke this dataconverter with arbitrary input, no input, or
-    too much input. The UseCaseSelector decides what to do in each case.
-    """
-
-    def __init__(self, file_paths: Tuple[str] = None):
-        """Analyze with which parser(s) (if any) input can be handled."""
-        self.mime_types: Dict[str, list] = {}
-        self.eln_parser_type: str = "none"
-        self.eln: List[str] = []
-        self.prj_parser_type: str = "none"
-        self.prj: List[str] = []
-        self.is_valid = False
-
-        self.analyze_mime_types(file_paths)
-        self.identify_case()
-
-    def analyze_mime_types(self, file_paths: Tuple[str] = None):
-        """Accept/reject and organize input-files based on mime-type."""
-        self.supported_mime_types = ["yaml", "yml", "nionswift"]
-        for mime_type in self.supported_mime_types:
-            self.mime_types[mime_type] = []
-        for file_name in file_paths:
-            index = file_name.lower().rfind(".")
-            if index >= 0:
-                suffix = file_name.lower()[index + 1 : :]
-                add = (suffix in self.supported_mime_types) and (
-                    file_name not in self.mime_types[suffix]
-                )
-                if add is True:
-                    self.mime_types[suffix].append(file_name)
-        print(self.mime_types)
-
-    def identify_case(self):
-        """Identify which sub-parsers to use if any based on input mime_types."""
-        # eln
-        self.is_valid = False
-        for mime_type in ["yaml", "yml"]:
-            self.eln += self.mime_types[mime_type]
-        if len(self.eln) == 1:
-            self.eln_parser_type = "generic"
-            self.is_valid = True
-        else:
-            self.eln_parser_type = "none"
-
-        if "nionswift" in self.mime_types:
-            if len(self.mime_types["nionswift"]) == 1:
-                self.prj += self.mime_types["nionswift"]
-                self.prj_parser_type = "nionswift"
-            else:
-                self.is_valid = False
-
-        print("Input suggests to use the following sub-parsers:")
-        print(f"ELN parser: {self.eln_parser_type}")
-        print(self.eln)
-        print(f"Data parser: {self.prj_parser_type}")
-        print(self.prj)
-        print(f"Input suggests that parsing is valid: {self.is_valid}")
diff --git a/pynxtools/dataconverter/readers/em_nion/utils/swift_generate_dimscale_axes.py b/pynxtools/dataconverter/readers/em_nion/utils/swift_generate_dimscale_axes.py
deleted file mode 100644
index ae439b666..000000000
--- a/pynxtools/dataconverter/readers/em_nion/utils/swift_generate_dimscale_axes.py
+++ /dev/null
@@ -1,65 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Utility for creating list of numpy arrays with dimension scale axes values."""
-
-# pylint: disable=no-member
-
-from typing import List, Any
-
-import numpy as np
-
-from pynxtools.dataconverter.readers.em_nion.map_concepts.swift_display_items_to_nx import (
-    metadata_constraints,
-    check_existence_of_required_fields,
-)  # nexus_concept_dict
-
-
-def get_list_of_dimension_scale_axes(dct: dict) -> list:  # , concept_key: str
-    """Create a list of dimension scale axes value, unit tuples."""
-    # use only when we know already onto which concept a display_item will be mapped
-    axes: List[Any] = []
-    if check_existence_of_required_fields(dct, metadata_constraints) is False:
-        return axes
-    #        or concept_key not in nexus_concept_dict.keys():
-    # if nexus_concept_dict[concept_key] is None:
-    #     return axes
-    if len(dct["dimensional_calibrations"]) != len(dct["data_shape"]):
-        return axes
-
-    print(dct["dimensional_calibrations"])
-    print(dct["data_shape"])
-
-    for idx in np.arange(0, len(dct["dimensional_calibrations"])):
-        nvalues = dct["data_shape"][idx]
-        axis_dict = dct["dimensional_calibrations"][idx]
-        if isinstance(nvalues, int) and isinstance(axis_dict, dict):
-            if (nvalues > 0) and (
-                set(axis_dict.keys()) == set(["offset", "scale", "units"])
-            ):
-                start = axis_dict["offset"] + 0.5 * axis_dict["scale"]
-                stop = axis_dict["offset"] + ((nvalues - 1) + 0.5) * axis_dict["scale"]
-                axes.append(
-                    {
-                        "value": np.asarray(
-                            np.linspace(start, stop, num=nvalues, endpoint=True),
-                            np.float64,
-                        ),
-                        "unit": axis_dict["units"],
-                    }
-                )
-    return axes
diff --git a/pynxtools/dataconverter/readers/em_nion/utils/swift_load_generic_eln.py b/pynxtools/dataconverter/readers/em_nion/utils/swift_load_generic_eln.py
deleted file mode 100644
index dcf7394d2..000000000
--- a/pynxtools/dataconverter/readers/em_nion/utils/swift_load_generic_eln.py
+++ /dev/null
@@ -1,177 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Parse data from custom schema YAML file onto NeXus concept instances in NXem."""
-
-# pylint: disable=no-member
-
-import numpy as np
-
-import flatdict as fd
-
-import yaml
-
-from ase.data import chemical_symbols
-
-from pynxtools.dataconverter.readers.em_nion.utils.em_nion_versioning import (
-    NX_EM_NION_ADEF_NAME,
-    NX_EM_NION_ADEF_VERSION,
-)
-
-from pynxtools.dataconverter.readers.em_nion.utils.em_nion_versioning import (
-    NX_EM_NION_EXEC_NAME,
-    NX_EM_NION_EXEC_VERSION,
-)
-
-from pynxtools.dataconverter.readers.shared.map_concepts.mapping_functors import (
-    apply_modifier,
-    variadic_path_to_specific_path,
-)
-
-from pynxtools.dataconverter.readers.em_nion.map_concepts.swift_eln_to_nx_map import (
-    NxEmElnInput,
-    NxUserFromListOfDict,
-    NxDetectorListOfDict,
-    NxSample,
-)
-
-
-class NxEmNionElnSchemaParser:
-    """Parse eln_data.yaml dump file content generated from a NOMAD OASIS YAML.
-
-    The functionalities in this ELN YAML parser do not check if the
-    instantiated template yields an instance which is compliant NXapm.
-    Instead, this task is handled by the generic part of the dataconverter
-    during the verification of the template dictionary.
-    """
-
-    def __init__(self, file_name: str, entry_id: int):
-        print(f"Extracting data from ELN file: {file_name}")
-        if (
-            file_name.rsplit("/", 1)[-1].startswith("eln_data")
-            or file_name.startswith("eln_data")
-        ) and entry_id > 0:
-            self.entry_id = entry_id
-            self.file_name = file_name
-            with open(self.file_name, "r", encoding="utf-8") as stream:
-                self.yml = fd.FlatDict(yaml.safe_load(stream), delimiter="/")
-        else:
-            self.entry_id = 1
-            self.file_name = ""
-            self.yml = {}
-
-    def parse_user_section(self, template: dict) -> dict:
-        """Copy data from user section into template."""
-        src = "user"
-        if src in self.yml.keys():
-            if isinstance(self.yml[src], list):
-                if all(isinstance(entry, dict) for entry in self.yml[src]) is True:
-                    user_id = 1
-                    # custom schema delivers a list of dictionaries...
-                    for user_dict in self.yml[src]:
-                        # ... for each of them inspect for fields mappable on NeXus
-                        identifier = [self.entry_id, user_id]
-                        # identifier to get instance NeXus path from variadic NeXus path
-                        # try to find all quantities on the left-hand side of the mapping
-                        # table and check if we can find these
-                        for nx_path, modifier in NxUserFromListOfDict.items():
-                            if (nx_path != "IGNORE") and (nx_path != "UNCLEAR"):
-                                trg = variadic_path_to_specific_path(
-                                    nx_path, identifier
-                                )
-                                res = apply_modifier(modifier, user_dict)
-                                if res is not None:
-                                    template[trg] = res
-                        user_id += 1
-        return template
-
-    def parse_sample_section(self, template: dict) -> dict:
-        """Copy data from sample section into template."""
-        src = "sample/atom_types"
-        trg = f"/ENTRY[entry{self.entry_id}]/{src}"
-        if "sample/atom_types" in self.yml.keys():
-            if (isinstance(self.yml[src], list)) and (len(self.yml[src]) >= 1):
-                atom_types_are_valid = True
-                for symbol in self.yml[src]:
-                    valid = (
-                        isinstance(symbol, str)
-                        and (symbol in chemical_symbols)
-                        and (symbol != "X")
-                    )
-                    if valid is False:
-                        atom_types_are_valid = False
-                        break
-                if atom_types_are_valid is True:
-                    template[trg] = ", ".join(list(self.yml[src]))
-
-        for nx_path, modifier in NxSample.items():
-            if (nx_path != "IGNORE") and (nx_path != "UNCLEAR"):
-                trg = variadic_path_to_specific_path(nx_path, [self.entry_id])
-                res = apply_modifier(modifier, self.yml)
-                if res is not None:
-                    template[trg] = res
-
-        return template
-
-    def parse_detector_section(self, template: dict) -> dict:
-        """Copy data from detector section into template."""
-        src = "em_lab/detector"
-        if src in self.yml.keys():
-            if isinstance(self.yml[src], list):
-                if all(isinstance(entry, dict) for entry in self.yml[src]) is True:
-                    detector_id = 1
-                    # custom schema delivers a list of dictionaries...
-                    for detector_dict in self.yml[src]:
-                        # ... for each of them inspect for fields mappable on NeXus
-                        identifier = [self.entry_id, detector_id]
-                        # identifier to get instance NeXus path from variadic NeXus path
-                        # try to find all quantities on the left-hand side of the mapping
-                        # table and check if we can find these
-                        for nx_path, modifier in NxDetectorListOfDict.items():
-                            if (nx_path != "IGNORE") and (nx_path != "UNCLEAR"):
-                                trg = variadic_path_to_specific_path(
-                                    nx_path, identifier
-                                )
-                                res = apply_modifier(modifier, detector_dict)
-                                if res is not None:
-                                    template[trg] = res
-                        detector_id += 1
-
-        return template
-
-    def parse_other_sections(self, template: dict) -> dict:
-        """Copy data from custom schema (excluding user, sample) into template."""
-        for nx_path, modifier in NxEmElnInput.items():
-            if (nx_path != "IGNORE") and (nx_path != "UNCLEAR"):
-                trg = variadic_path_to_specific_path(nx_path, [self.entry_id, 1])
-                res = apply_modifier(modifier, self.yml)
-                if res is not None:
-                    template[trg] = res
-        return template
-
-    def parse(self, template: dict) -> dict:
-        """Copy data from self into template the appdef instance."""
-        self.parse_user_section(template)
-        self.parse_detector_section(template)
-        self.parse_sample_section(template)
-        self.parse_other_sections(template)
-
-        debugging = False
-        if debugging is True:
-            for keyword, value in template.items():
-                print(f"{keyword}, {value}")
-        return template
diff --git a/pynxtools/dataconverter/readers/em_nion/utils/swift_uuid_to_file_name.py b/pynxtools/dataconverter/readers/em_nion/utils/swift_uuid_to_file_name.py
deleted file mode 100644
index 1ee9d9fb3..000000000
--- a/pynxtools/dataconverter/readers/em_nion/utils/swift_uuid_to_file_name.py
+++ /dev/null
@@ -1,40 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Create nionswift mapping from ns UUID to suffix used for identifying files in project."""
-
-# pylint: disable=no-member,too-many-instance-attributes
-
-import uuid
-
-# see https://github.com/nion-software/nionswift/blob/e95839c5602d009006ea88a648e5f78dc77c1ea4/
-# nion/swift/model/Profile.py line 146 and following
-
-
-def encode(uuid_: uuid.UUID, alphabet: str) -> str:
-    result = str()
-    uuid_int = uuid_.int
-    while uuid_int:
-        uuid_int, digit = divmod(uuid_int, len(alphabet))
-        result += alphabet[digit]
-    return result
-
-
-def uuid_to_file_name(data_item_uuid_str: str) -> str:
-    data_item_uuid_uuid = uuid.UUID(f"{data_item_uuid_str}")
-    return f'data_{encode(data_item_uuid_uuid, "ABCDEFGHIJKLMNOPQRSTUVWXYZ1234567890")}'
-    # 25 character results
diff --git a/pynxtools/dataconverter/readers/em_nion/utils/swift_zipped_project_parser.py b/pynxtools/dataconverter/readers/em_nion/utils/swift_zipped_project_parser.py
deleted file mode 100644
index 64d0aa494..000000000
--- a/pynxtools/dataconverter/readers/em_nion/utils/swift_zipped_project_parser.py
+++ /dev/null
@@ -1,411 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Parse display_items inside a zip file generated from compressing a swift project dir."""
-
-# pylint: disable=no-member
-
-# from typing import Dict, Any, List, Tuple
-
-import yaml
-
-import json
-
-import flatdict as fd
-
-import nion.swift.model.NDataHandler as nsnd
-
-import numpy as np
-
-import h5py
-
-from zipfile37 import ZipFile
-
-from pynxtools.dataconverter.readers.em_nion.utils.swift_uuid_to_file_name import (
-    uuid_to_file_name,
-)
-
-from pynxtools.dataconverter.readers.em_nion.utils.swift_generate_dimscale_axes import (
-    get_list_of_dimension_scale_axes,
-)
-
-from pynxtools.dataconverter.readers.em_nion.map_concepts.swift_display_items_to_nx import (
-    nexus_concept_dict,
-    identify_nexus_concept_key,
-)
-
-from pynxtools.dataconverter.readers.shared.map_concepts.mapping_functors import (
-    apply_modifier,
-    variadic_path_to_specific_path,
-)
-
-from pynxtools.dataconverter.readers.em_nion.map_concepts.swift_to_nx_image_real_space import (
-    NxImageRealSpaceDict,
-)
-
-from pynxtools.dataconverter.readers.em_nion.utils.em_nion_versioning import (
-    NX_EM_NION_SWIFT_NAME,
-    NX_EM_NION_SWIFT_VERSION,
-)
-from pynxtools.dataconverter.readers.em_nion.utils.em_nion_versioning import (
-    NX_EM_NION_EXEC_NAME,
-    NX_EM_NION_EXEC_VERSION,
-)
-
-
-class NxEmNionSwiftProjectParser:
-    """Parse NionSwift project file."""
-
-    def __init__(self, file_name, entry_id):
-        """Class wrapping swift parser."""
-        self.file_name = file_name
-        self.entry_id = entry_id
-        # counters which keep track of how many instances of NXevent_data_em have
-        # been instantiated, this implementation currently maps each display_items
-        # onto an own NXevent_data_em instance
-        self.event_data_written = False
-        self.event_data_em_id = 1
-        self.image_id = 1
-        self.spectrum_id = 1
-        self.proj_file_names = []
-        # assure that there is exactly one *.nsproj file only to parse from
-        self.ndata_file_dict = {}
-        # just get the *.ndata files irrespective whether they will be parsed later
-        self.hdf_file_dict = {}
-        # just get the *.h5 files irrespective whether they will be interpreted
-
-    def check_project_file(self):
-        """Inspect the content of the compressed project file to check if supported."""
-        # file_name = "2022-02-18_Metadata_Kuehbach.zip.nionswift"
-        with ZipFile(self.file_name) as zip_file_hdl:
-            for file in zip_file_hdl.namelist():
-                if file.endswith(".h5"):
-                    key = file[file.rfind("/") + 1 :].replace(".h5", "")
-                    if key not in self.hdf_file_dict:
-                        self.hdf_file_dict[key] = file
-                elif file.endswith(".ndata"):
-                    key = file[file.rfind("/") + 1 :].replace(".ndata", "")
-                    if key not in self.ndata_file_dict:
-                        self.ndata_file_dict[key] = file
-                elif file.endswith(".nsproj"):
-                    self.proj_file_names.append(file)
-                else:
-                    continue
-        if not self.ndata_file_dict.keys().isdisjoint(self.hdf_file_dict.keys()):
-            print("Keys of *.ndata and *.h5 files in project are not disjoint!")
-            return False
-        if len(self.proj_file_names) != 1:
-            print("The project contains either no or more than one nsproj file!")
-            return False
-        print(self.proj_file_names)
-        for key, val in self.ndata_file_dict.items():
-            print(f"{key}, {val}")
-        for key, val in self.hdf_file_dict.items():
-            print(f"{key}, {val}")
-        return True
-
-    def add_nx_image_real_space(self, meta, arr, template):
-        """Add data and metadata for an instance of concept NxImageRealSpace."""
-        # metadata
-        identifier = [self.entry_id, self.event_data_em_id, self.image_id]
-        for nx_path, modifier in NxImageRealSpaceDict.items():
-            if (nx_path != "IGNORE") and (nx_path != "UNCLEAR"):
-                # print(nx_path)
-                # instance_identifier = list(np.repeat(1, nx_path.count("*")))
-                # print(instance_identifier)
-                trg = variadic_path_to_specific_path(nx_path, identifier)
-                # print(trg)
-                template[trg] = apply_modifier(modifier, meta)
-
-        # array data
-        axes_lst = get_list_of_dimension_scale_axes(meta)
-        # print(axes_lst)
-
-        axes_names = [
-            ("axis_image_identifier", "image_identifier", 2),
-            ("axis_y", "y", 1),
-            ("axis_x", "x", 0),
-        ]
-        print(
-            f"Add NXdata len(axes_lst) {len(axes_lst)}, len(axes_names) {len(axes_names)}"
-        )
-        if 2 <= len(axes_lst) <= len(axes_names):
-            trg = (
-                f"/ENTRY[entry{self.entry_id}]/measurement/EVENT_DATA_EM[event_data_em"
-                f"{self.event_data_em_id}]/IMAGE_SET[image_set{self.image_id}]/"
-                f"PROCESS[process]"
-            )
-            template[f"{trg}/source"] = "n/a"
-            template[f"{trg}/source/@version"] = "n/a"
-            template[f"{trg}/PROGRAM[program1]/program"] = (
-                f"We do not know because the nsproj file does not store it explicitly "
-                f"which nionswift version and dependencies are used when writing "
-                f"the nsproj file!"
-            )
-            template[f"{trg}/PROGRAM[program1]/program/@version"] = "not recoverable"
-            template[f"{trg}/PROGRAM[program2]/program"] = f"{NX_EM_NION_SWIFT_NAME}"
-            template[
-                f"{trg}/PROGRAM[program2]/program/@version"
-            ] = f"{NX_EM_NION_SWIFT_VERSION}"
-            template[f"{trg}/PROGRAM[program3]/program"] = f"{NX_EM_NION_EXEC_NAME}"
-            template[
-                f"{trg}/PROGRAM[program3]/program/@version"
-            ] = f"{NX_EM_NION_EXEC_VERSION}"
-
-            trg = (
-                f"/ENTRY[entry{self.entry_id}]/measurement/EVENT_DATA_EM[event_data_em"
-                f"{self.event_data_em_id}]/IMAGE_SET[image_set{self.image_id}]/DATA[stack]"
-            )
-            template[
-                f"{trg}/@NX_class"
-            ] = "NXdata"  # ##TODO one should not need to add this manually
-            template[f"{trg}/title"] = str("Should come from NionSwift directly")
-            template[f"{trg}/@signal"] = "data_counts"
-            template[f"{trg}/@axes"] = ["axis_image_identifier", "axis_y", "axis_x"]
-            for idx in np.arange(0, 3):
-                template[
-                    f"{trg}/@AXISNAME_indices[{axes_names[idx][0]}_indices]"
-                ] = np.uint32(axes_names[idx][2])
-            # the following three lines would be required by H5Web to plot RGB maps
-            # template[f"{trg}/@CLASS"] = "IMAGE"
-            # template[f"{trg}/@IMAGE_VERSION"] = "1.2"
-            # template[f"{trg}/@SUBCLASS_VERSION"] = np.int64(15)
-
-            if len(axes_lst) == 2:
-                ny, nx = np.shape(arr)
-                template[f"{trg}/data_counts"] = {
-                    "compress": np.reshape(arr, (1, ny, nx), order="C"),
-                    "strength": 1,
-                }
-                template[f"{trg}/data_counts/@long_name"] = "Signal"
-                # no image_identifier axis available
-                template[f"{trg}/AXISNAME[{axes_names[0][0]}]"] = {
-                    "compress": np.asarray([1], np.uint32),
-                    "strength": 1,
-                }
-                template[
-                    f"{trg}/AXISNAME[{axes_names[0][0]}]/@long_name"
-                ] = f"Image identifier (a. u.)"
-                template[f"{trg}/AXISNAME[{axes_names[0][0]}]/@units"] = ""
-                for idx in [1, 2]:
-                    template[f"{trg}/AXISNAME[{axes_names[idx][0]}]"] = {
-                        "compress": axes_lst[idx - 1]["value"],
-                        "strength": 1,
-                    }
-                    template[f"{trg}/AXISNAME[{axes_names[idx][0]}]/@long_name"] = (
-                        f"Calibrated position along {axes_names[idx][1]}-axis "
-                        f"({axes_lst[idx - 1]['unit']})"
-                    )
-                    template[
-                        f"{trg}/AXISNAME[{axes_names[idx][0]}]/@units"
-                    ] = f"{axes_lst[idx - 1]['unit']}"
-            else:  # len(axes_lst) == 3
-                template[f"{trg}/data_counts"] = {"compress": arr, "strength": 1}
-                for idx in [0, 1, 2]:
-                    # TODO check that casting works properly
-                    template[f"{trg}/AXISNAME[{axes_names[idx][0]}]"] = {
-                        "compress": np.asarray(axes_lst[idx]["value"], np.uint32),
-                        "strength": 1,
-                    }
-                    template[f"{trg}/AXISNAME[{axes_names[idx][0]}]/@long_name"] = (
-                        f"Calibrated position along {axes_names[idx][1]}-axis "
-                        f"({axes_lst[idx]['unit']})"
-                    )
-                    template[
-                        f"{trg}/AXISNAME[{axes_names[idx][0]}]/@units"
-                    ] = f"{axes_lst[idx]['unit']}"
-
-        self.image_id += 1
-        self.event_data_written = True
-        return template
-
-    def update_event_identifier(self):
-        """Advance and reset bookkeeping of event data em and data instances."""
-        if self.event_data_written is True:
-            self.event_data_em_id += 1
-            self.event_data_written = False
-        self.image_id = 1
-        self.spectrum_id = 1
-        # because either we found that the display item is fed from an H5 or from an NDATA
-        # print(f"Identifier at {self.entry_id}, {self.event_data_em_id}, {self.image_id}, {self.spectrum_id}")
-
-    def map_to_nexus(self, meta, arr, concept_name, template):
-        """Create the actual instance of a specific set of NeXus concepts in template."""
-        # meta is an flatdict
-        # arr is a numpy array
-        if concept_name == "NxImageSetRealSpace":
-            print(f"Adding an instance of concept {concept_name}")
-            self.add_nx_image_real_space(meta, arr, template)
-        else:
-            print(f"Ignoring concept {concept_name} because not yet implemented")
-
-        self.update_event_identifier()
-        return template
-
-    def process_ndata(self, file_hdl, full_path, template):
-        """Handle reading and processing of opened *.ndata inside the ZIP file."""
-        # assure that we start reading that file_hdl/pointer from the beginning...
-        file_hdl.seek(0)
-        local_files, dir_files, eocd = nsnd.parse_zip(file_hdl)
-        # ...now that pointer might point somewhere...
-        flat_metadata_dict = {}
-        data_arr = None
-        nx_concept_name = ""
-
-        for offset, tpl in local_files.items():
-            # print(f"{tpl}")
-            if tpl[0] == b"metadata.json":
-                print(f"Extract metadata.json from {full_path} at offset {offset}")
-                # ... explicit jump back to beginning of the file
-                file_hdl.seek(0)
-                metadata_dict = nsnd.read_json(
-                    file_hdl, local_files, dir_files, b"metadata.json"
-                )
-
-                nx_concept_key = identify_nexus_concept_key(metadata_dict)
-                nx_concept_name = nexus_concept_dict[nx_concept_key]
-                print(
-                    f"Display_item {full_path}, concept {nx_concept_key}, maps {nx_concept_name}"
-                )
-
-                flat_metadata_dict = fd.FlatDict(metadata_dict, delimiter="/")
-                break
-                # because we expect (based on Benedikt's example) to find only one json file
-                # in that *.ndata file pointed to by file_hdl
-
-        if flat_metadata_dict == {}:  # only continue if some metadata were retrieved
-            return template
-
-        for offset, tpl in local_files.items():
-            # print(f"{tpl}")
-            if tpl[0] == b"data.npy":
-                print(f"Extract data.npy from {full_path} at offset {offset}")
-                file_hdl.seek(0)
-                data_arr = nsnd.read_data(file_hdl, local_files, dir_files, b"data.npy")
-                break
-                # because we expect (based on Benedikt's example) to find only one npy file
-                # in that *.ndata file pointed to by file_hdl
-
-        print(f"data_arr type {data_arr.dtype}, shape {np.shape(data_arr)}")
-        # check on the integriety of the data_arr array that it is not None or empty
-        # this should be done more elegantly by just writing the
-        # data directly into the template and not creating another copy
-
-        self.map_to_nexus(flat_metadata_dict, data_arr, nx_concept_name, template)
-        del flat_metadata_dict
-        del data_arr
-        del nx_concept_name
-        return template
-
-    def process_hdf(self, file_hdl, full_path, template):
-        """Handle reading and processing of opened *.h5 inside the ZIP file."""
-        flat_metadata_dict = {}
-        data_arr = None
-        nx_concept_name = ""
-
-        file_hdl.seek(0)
-        h5r = h5py.File(file_hdl, "r")
-        metadata_dict = json.loads(h5r["data"].attrs["properties"])
-
-        nx_concept_key = identify_nexus_concept_key(metadata_dict)
-        nx_concept_name = nexus_concept_dict[nx_concept_key]
-        print(
-            f"Display_item {full_path}, concept {nx_concept_key}, maps {nx_concept_name}"
-        )
-
-        flat_metadata_dict = fd.FlatDict(metadata_dict, delimiter="/")
-
-        if flat_metadata_dict == {}:  # only continue if some metadata were retrieved
-            return template
-
-        data_arr = h5r["data"][()]
-        h5r.close()
-
-        print(f"data_arr type {data_arr.dtype}, shape {np.shape(data_arr)}")
-        # check on the integriety of the data_arr array that it is not None or empty
-        # this should be done more elegantly by just writing the
-        # data directly into the template and not creating another copy
-        self.map_to_nexus(flat_metadata_dict, data_arr, nx_concept_name, template)
-        del flat_metadata_dict
-        del data_arr
-        del nx_concept_name
-        return template
-
-    def parse_project_file(self, template: dict) -> dict:
-        """Parse lazily from compressed NionSwift project (nsproj + directory)."""
-        swift_proj_dict = {}
-        with ZipFile(self.file_name) as zip_file_hdl:
-            with zip_file_hdl.open(self.proj_file_names[0]) as file_hdl:
-                # with open(file_name, 'r') as stream:
-                swift_proj_dict = fd.FlatDict(yaml.safe_load(file_hdl), delimiter="/")
-                # for entry in swift_proj_dict["display_items"]:
-                #     if isinstance(entry, dict):
-                #         for key, val in entry.items():
-                #             print(f"{key}, {val}")
-        if swift_proj_dict == {}:
-            return template
-
-        for itm in swift_proj_dict["display_items"]:
-            if set(["type", "uuid", "created", "display_data_channels"]).issubset(
-                itm.keys()
-            ):
-                if len(itm["display_data_channels"]) == 1:
-                    if "data_item_reference" in itm["display_data_channels"][0].keys():
-                        key = uuid_to_file_name(
-                            itm["display_data_channels"][0]["data_item_reference"]
-                        )
-                        # file_name without the mime type
-                        if key in self.ndata_file_dict:
-                            print(
-                                f"Key {key} is *.ndata maps to {self.ndata_file_dict[key]}"
-                            )
-                            with ZipFile(self.file_name) as zip_file_hdl:
-                                print(f"Parsing {self.ndata_file_dict[key]}...")
-                                with zip_file_hdl.open(
-                                    self.ndata_file_dict[key]
-                                ) as file_hdl:
-                                    self.process_ndata(
-                                        file_hdl, self.ndata_file_dict[key], template
-                                    )
-                        elif key in self.hdf_file_dict:
-                            print(
-                                f"Key {key} is *.h5 maps to {self.hdf_file_dict[key]}"
-                            )
-                            with ZipFile(self.file_name) as zip_file_hdl:
-                                print(f"Parsing {self.hdf_file_dict[key]}...")
-                                with zip_file_hdl.open(
-                                    self.hdf_file_dict[key]
-                                ) as file_hdl:
-                                    self.process_hdf(
-                                        file_hdl, self.hdf_file_dict[key], template
-                                    )
-                        else:
-                            print(f"Key {key} has no corresponding data file")
-        return template
-
-    def parse(self, template: dict) -> dict:
-        """Parse NOMAD OASIS relevant data and metadata from swift project."""
-        print(
-            "Parsing lazily from compressed NionSwift project (nsproj + directory)..."
-        )
-        print(self.file_name)
-        print(f"{self.entry_id}")
-        if self.check_project_file() is False:
-            return template
-
-        self.parse_project_file(template)
-        return template
diff --git a/pynxtools/dataconverter/readers/em_om/README.md b/pynxtools/dataconverter/readers/em_om/README.md
deleted file mode 100644
index 0c6edd7b8..000000000
--- a/pynxtools/dataconverter/readers/em_om/README.md
+++ /dev/null
@@ -1,11 +0,0 @@
-# em_om reader
-
-## Purpose
-Parse data from orientation imaging microscopy and microstructures.
-
-## TODO
-* Add description specific for OIM
-* Remove the focus of the README.md on the NOMAD OASIS product
-
-## Contact person for this reader
-Markus Kühbach
\ No newline at end of file
diff --git a/pynxtools/dataconverter/readers/em_om/__init__.py b/pynxtools/dataconverter/readers/em_om/__init__.py
deleted file mode 100644
index e69de29bb..000000000
diff --git a/pynxtools/dataconverter/readers/em_om/reader.py b/pynxtools/dataconverter/readers/em_om/reader.py
deleted file mode 100644
index bbe4c7df0..000000000
--- a/pynxtools/dataconverter/readers/em_om/reader.py
+++ /dev/null
@@ -1,152 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Parser for loading generic orientation microscopy data based on ."""
-
-# pylint: disable=no-member
-
-from typing import Tuple, Any
-
-from pynxtools.dataconverter.readers.base.reader import BaseReader
-
-from pynxtools.dataconverter.readers.em_om.utils.use_case_selector import (
-    EmOmUseCaseSelector,
-)
-
-from pynxtools.dataconverter.readers.em_om.utils.generic_eln_io import (
-    NxEmOmGenericElnSchemaParser,
-)
-
-from pynxtools.dataconverter.readers.em_om.utils.orix_ebsd_parser import (
-    NxEmOmOrixEbsdParser,
-)
-
-from pynxtools.dataconverter.readers.em_om.utils.mtex_ebsd_parser import (
-    NxEmOmMtexEbsdParser,
-)
-
-from pynxtools.dataconverter.readers.em_om.utils.zip_ebsd_parser import (
-    NxEmOmZipEbsdParser,
-)
-
-from pynxtools.dataconverter.readers.em_om.utils.dream3d_ebsd_parser import (
-    NxEmOmDreamThreedEbsdParser,
-)
-
-from pynxtools.dataconverter.readers.em_om.utils.em_nexus_plots import (
-    em_om_default_plot_generator,
-)
-
-
-class EmOmReader(BaseReader):
-    """Parse content from file formats of the electron-backscatter community.
-
-    Specifically, electron microscopy
-    towards a NXem_ebsd.nxdl-compliant NeXus file.
-    """
-
-    # pylint: disable=too-few-public-methods
-
-    # Whitelist for the NXDLs that the reader supports and can process
-    supported_nxdls = ["NXem_ebsd"]  # how to combine with "NXem"?
-
-    # pylint: disable=duplicate-code
-    def read(
-        self,
-        template: dict = None,
-        file_paths: Tuple[str] = None,
-        objects: Tuple[Any] = None,
-    ) -> dict:
-        """Read data from given file, return filled template dictionary em."""
-        # pylint: disable=duplicate-code
-        template.clear()
-
-        # this em_om parser combines multiple sub-parsers
-        # so we need the following input:
-        # logical analysis which use case
-        # data input from an ELN (using an ELN-agnostic) YAML representation
-        # data input from technology partner files
-        # functionalities for creating default plots
-
-        entry_id = 1
-        # if len(file_paths) != 2:
-        #     print("Generation of example data not implemented yet...!")
-        #     return {}
-
-        print("Parse ELN and technology partner file(s)...")
-        case = EmOmUseCaseSelector(file_paths)
-        if case.is_valid is False:
-            print("Such a combination of input-file(s, if any) is not supported !")
-            return {}
-
-        print("Parse (meta)data coming from an ELN...")
-        if case.eln_parser_type == "generic":
-            pattern_simulation = False
-            if case.dat_parser_type == "zip":
-                pattern_simulation = True
-            eln = NxEmOmGenericElnSchemaParser(
-                case.eln[0], entry_id, pattern_simulation
-            )
-            eln.parse(template)
-        else:
-            print("No interpretable ELN input found!")
-            return {}
-
-        print("Parse (numerical) data and metadata from technology partner files...")
-        if case.dat_parser_type == "orix":
-            orix_parser = NxEmOmOrixEbsdParser(case.dat[0], entry_id)
-            # h5oina parser evaluating content and plotting with orix on the fly
-            orix_parser.parse(template)
-        elif case.dat_parser_type == "mtex":
-            mtex_parser = NxEmOmMtexEbsdParser(case.dat[0], entry_id)
-            # ebsd parser because concept suggested for MTex by M. Kühbach
-            # would include different HDF5 dumps for different MTex classes
-            mtex_parser.parse(template)
-        elif case.dat_parser_type == "zip":
-            zip_parser = NxEmOmZipEbsdParser(case.dat[0], entry_id)
-            zip_parser.parse(template)
-        elif case.dat_parser_type == "dream3d":
-            dream_parser = NxEmOmDreamThreedEbsdParser(case.dat[0], entry_id)
-            dream_parser.parse(template)
-        # elif case.dat_parser_type == "kikuchipy":
-        # elif case.dat_parser_type == "pyxem":
-        # elif case.dat_parser_type == "score":
-        # elif case.dat_parser_type == "qube":
-        # elif case.dat_parser_type == "paradis":
-        # elif case.dat_parser_type == "brinckmann":
-        else:
-            print("No input-file defined for technology partner data !")
-
-        # at this point the default plots exist already
-        # we only need to decorate the template to point to the mandatory ROI overview
-        print("Create NeXus default plottable data...")
-        em_om_default_plot_generator(template, 1)
-
-        debugging = False
-        if debugging is True:
-            print("Reporting state of template before passing to HDF5 writing...")
-            for keyword in template.keys():
-                print(keyword)
-                # print(type(template[keyword]))
-                # print(template[keyword])
-
-        print("Forward instantiated template to the NXS writer...")
-        return template
-
-
-# This has to be set to allow the convert script to use this reader.
-READER = EmOmReader
diff --git a/pynxtools/dataconverter/readers/em_om/utils/__init__.py b/pynxtools/dataconverter/readers/em_om/utils/__init__.py
deleted file mode 100644
index e69de29bb..000000000
diff --git a/pynxtools/dataconverter/readers/em_om/utils/dream3d_ebsd_parser.py b/pynxtools/dataconverter/readers/em_om/utils/dream3d_ebsd_parser.py
deleted file mode 100644
index 020c69615..000000000
--- a/pynxtools/dataconverter/readers/em_om/utils/dream3d_ebsd_parser.py
+++ /dev/null
@@ -1,404 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Parse three-dimensional EBSD data from a DREAM3D file."""
-
-# pylint: disable=no-member,too-many-instance-attributes
-
-# type: ignore
-
-# from typing import Dict, Any, List, Tuple
-
-import yaml
-
-import numpy as np
-
-import h5py
-
-# import imageio.v3 as iio
-from PIL import Image as pil
-
-# from pynxtools.dataconverter.readers.em_om.utils.dream3d_filter_class \
-#     import DreamThreedFilter
-
-from pynxtools.dataconverter.readers.em_om.utils.image_transform import thumbnail
-
-from pynxtools.dataconverter.readers.em_om.utils.em_nexus_plots import (
-    HFIVE_WEB_MAX_SIZE,
-)
-
-
-class NxEmOmDreamThreedEbsdParser:
-    """Parse DREAM3D EBSD data."""
-
-    def __init__(self, file_name, entry_id):
-        """Class wrapping dream3d parser."""
-        # this is one example which should be extended to interpretation of more
-        # DREAM3D filter, currently though all these filter and the DREAM.3D software
-        # experiences major refactoring associated with the introduction of DREAM3DNX
-        self.file_name = file_name
-        self.entry_id = entry_id
-        self.pipeline = {}
-        # the dictionary nest in DREAM.3D SIMPL pipeline notation
-        self.stack_meta = {}
-        self.stack = []
-        self.roi = []
-        self.xyz = {}
-        self.phase_id = []
-        self.phases = {}
-
-    def parse_pipeline(self):
-        """Parse and understand pipeline json description of the dream3d file."""
-        h5r = h5py.File(self.file_name, "r")
-        dsnm = "Pipeline/Pipeline"
-        if dsnm in h5r:
-            self.pipeline = yaml.safe_load(h5r[dsnm][()].decode("utf-8"))
-        h5r.close()
-
-        print(self.pipeline)
-        # add all logical understanding of the pipeline steps
-        # ##MK::should be extended
-
-    def parse_roi_geometry(self):
-        """Parse the geometry of the 3D dataset ##MK::assuming that it exists."""
-        # NEW ISSUE: this is an example how to parse 3D reconstructed EBSD data
-        # from the older version of DREAM.3D (not for DREAM.3D NX) maps on NXem_ebsd
-
-        h5r = h5py.File(self.file_name, "r")
-
-        grpnm = "/DataContainers/Small IN100/_SIMPL_GEOMETRY"
-        # NEW ISSUE: interpret from filter!
-        has_required_metadata = True
-        has_correct_shape = True
-        req_field_names = [
-            ("dims", "DIMENSIONS"),
-            ("origin", "ORIGIN"),
-            ("spacing", "SPACING"),
-        ]
-        for field_tuple in req_field_names:
-            if f"{grpnm}/{field_tuple[1]}" in h5r:
-                self.stack_meta[field_tuple[0]] = h5r[f"{grpnm}/{field_tuple[1]}"][...]
-                if np.shape(self.stack_meta[field_tuple[0]]) != (3,):
-                    has_correct_shape = False
-            else:
-                has_required_metadata = False
-
-        if (has_required_metadata is True) and (has_correct_shape is True):
-            grpnm = "/DataContainers/Small IN100/EBSD Scan Data"
-
-            dsnm = f"{grpnm}/Phases"
-            self.phase_id = np.asarray(h5r.get(dsnm)[...], np.uint32)
-            # DREAM.3D stores int32_t but only >= 0 ##?, we can silently promote to uint32
-
-            dsnm = f"{grpnm}/Image Quality"
-            self.roi = np.asarray(h5r.get(dsnm)[...], np.float32)
-
-            dsnm = f"{grpnm}/IPFColor"
-            self.stack = np.asarray(h5r.get(dsnm)[...], np.uint8)  # RGB triplet
-            # if len(np.shape(self.stack)) == 4:
-            #     for i in np.arange(0, 3):
-            #         if np.shape(self.stack)[i] >= 1:
-            # if np.shape(self.stack)[3] == 3:
-            print(np.shape(self.roi))
-            print(np.shape(self.phase_id))
-            print(np.shape(self.stack))
-
-            # NEW ISSUE: more consistence checks that sizes and shapes match
-
-        h5r.close()
-
-    def parse_roi_dimension_scale_axes(self):
-        """Create correctly calibrated dimension scale axes center-of-mass arrays."""
-        axes_names = [(0, "x"), (1, "y"), (2, "z")]
-        self.xyz = {}
-        for axisname in axes_names:
-            i = axisname[0]
-            # self.xyz[axisname[1]] = np.asarray(np.linspace(self.stack_meta["origin"][i],
-            #     self.stack_meta["origin"][i] + self.stack_meta["dims"][i] \
-            #     * self.stack_meta["spacing"][i], num=self.stack_meta["dims"][i],
-            #     endpoint=True), np.float32)  # DREAM.3D uses single precision
-            self.xyz[axisname[1]] = np.asarray(
-                np.linspace(
-                    self.stack_meta["origin"][i],
-                    self.stack_meta["origin"][i]
-                    + self.stack_meta["dims"][i] * self.stack_meta["spacing"][i],
-                    num=self.stack_meta["dims"][i],
-                    endpoint=True,
-                ),
-                np.float32,
-            )  # DREAM.3D uses single precision
-
-        # endpoint true? voxel center or its min or max bound?
-
-    def parse_roi_default_plot(self, template: dict) -> dict:
-        """Create default plot for the region-of-interest."""
-        trg = f"/ENTRY[entry{self.entry_id}]/correlation/region_of_interest/roi"
-        template[f"{trg}/title"] = str("Region-of-interest overview image")
-        template[f"{trg}/@signal"] = "data"
-        # template[f"{trg}/@axes"] = ["axis_x", "axis_y", "axis_z"]
-        template[f"{trg}/@axes"] = ["axis_z", "axis_y", "axis_x"]
-        template[f"{trg}/@AXISNAME_indices[axis_x_indices]"] = np.uint32(0)
-        template[f"{trg}/@AXISNAME_indices[axis_y_indices]"] = np.uint32(1)
-        template[f"{trg}/@AXISNAME_indices[axis_z_indices]"] = np.uint32(2)
-
-        trg = f"/ENTRY[entry{self.entry_id}]/correlation/region_of_interest/roi/data"
-        template[f"{trg}"] = {"compress": self.roi[:, :, :, 0], "strength": 1}
-
-        template[f"{trg}/@long_name"] = "Signal"
-        template[f"{trg}/@CLASS"] = "IMAGE"  # required by H5Web to plot RGB maps
-        template[f"{trg}/@IMAGE_VERSION"] = "1.2"
-        template[f"{trg}/@SUBCLASS_VERSION"] = np.int64(15)
-
-        axes_names = [("axis_x", "x"), ("axis_y", "y"), ("axis_z", "z")]
-        for axisname in axes_names:
-            trg = (
-                f"/ENTRY[entry{self.entry_id}]/correlation/region_of_interest"
-                f"/roi/AXISNAME[{axisname[0]}]"
-            )
-            template[f"{trg}"] = {"compress": self.xyz[axisname[1]], "strength": 1}
-            template[
-                f"{trg}/@long_name"
-            ] = f"Calibrated position along {axisname[1]}-axis (µm)"
-            template[f"{trg}/@units"] = "µm"  # parse from filter!
-
-        return template
-
-    def parse_phases(self, template: dict) -> dict:
-        """Parse data for the crystal structure models aka phases."""
-        h5r = h5py.File(self.file_name, "r")
-        grpnm = "/DataContainers/Small IN100/Phase Data"  # NEW ISSUE: interpret from filter!
-        dsnm = f"{grpnm}/CrystalStructures"
-        phase_ids = h5r[dsnm][...].flatten()
-        print(phase_ids)
-        dsnm = f"{grpnm}/MaterialName"
-        phase_names = []
-        for phase_name in h5r[dsnm][...]:
-            phase_names.append(phase_name.decode("utf-8"))
-        print(phase_names)
-        dsnm = f"{grpnm}/LatticeConstants"
-        unit_cells = h5r[dsnm][...]
-        identifier = 0
-        if np.shape(phase_ids)[0] == np.shape(phase_names)[0]:
-            if np.shape(phase_ids)[0] == np.shape(unit_cells)[0]:
-                if np.shape(unit_cells)[1] == 6:
-                    # NEW ISSUE: assume first one is invalid
-                    identifier = 1
-
-        if identifier == 1:  # NEW ISSUE: extend for arbitrary number of phases
-            self.phases[identifier] = {}
-            self.phases[identifier]["name"] = phase_names[identifier]
-
-            trg = (
-                f"/ENTRY[entry{self.entry_id}]/correlation"
-                f"/EM_EBSD_CRYSTAL_STRUCTURE_MODEL"
-                f"[em_ebsd_crystal_structure_model{identifier}]"
-            )
-            template[f"{trg}/phase_identifier"] = np.uint32(identifier)
-            template[f"{trg}/phase_name"] = str(phase_names[identifier])
-            template[f"{trg}/unit_cell_abc"] = np.asarray(
-                [
-                    unit_cells[identifier, 0] * 0.1,
-                    unit_cells[identifier, 1] * 0.1,
-                    unit_cells[identifier, 2] * 0.1,
-                ],
-                np.float32,
-            )
-            # ##? DREAM.3D reports in angstroem but no units attribute in dream3d file!
-            template[f"{trg}/unit_cell_abc/@units"] = "nm"
-            template[f"{trg}/unit_cell_alphabetagamma"] = np.asarray(
-                [
-                    unit_cells[identifier, 3],
-                    unit_cells[identifier, 4],
-                    unit_cells[identifier, 5],
-                ],
-                np.float32,
-            )
-            # ##? DREAM.3D reports in degree
-            template[f"{trg}/unit_cell_alphabetagamma/@units"] = "°"
-
-        return template
-
-    def parse_inverse_pole_figures(self, template: dict) -> dict:
-        """Parse inverse pole figures (IPF) mappings."""
-        print("Parse inverse pole figures (IPFs)...")
-        # identifier match because phase is a list asc. sorted by numerical keys
-        # "first phase_id" in DREAM.3D and em_om is 1
-        for identifier in np.arange(1, np.max(self.phase_id) + 1):
-            self.parse_inverse_pole_figure_map(identifier, template)
-            self.parse_inverse_pole_figure_color_key(identifier, template)
-            identifier += 1
-
-        return template
-
-    def parse_inverse_pole_figure_map(self, identifier, template: dict) -> dict:
-        """Create default plot for the IPF-Z orientation mapping."""
-        phase_id = identifier
-        phase_name = self.phases[identifier]["name"]
-        print(
-            f"Generate inverse pole figure (IPF) map for {identifier}, {phase_name}..."
-        )
-
-        trg = f"/ENTRY[entry{self.entry_id}]/correlation/PROCESS[ipf_map{phase_id}]"
-        template[f"{trg}/bitdepth"] = np.uint32(8)
-        template[f"{trg}/phase_identifier"] = np.uint32(phase_id)
-        template[f"{trg}/phase_name"] = str(phase_name)
-        template[f"{trg}/PROGRAM[program1]/program"] = str("dream3d")
-        template[f"{trg}/PROGRAM[program1]/program/@version"] = "v6.5.163"
-        template[f"{trg}/projection_direction"] = np.asarray(
-            [0.0, 0.0, 1.0], np.float32
-        )
-
-        trg = (
-            f"/ENTRY[entry{self.entry_id}]/correlation"
-            f"/PROCESS[ipf_map{phase_id}]/ipf_rgb_map"
-        )
-        template[f"{trg}/title"] = str("DREAM.3D ROI inverse-pole-figure colored")
-        template[f"{trg}/@signal"] = "data"
-        # template[f"{trg}/@axes"] = ["axis_x", "axis_y", "axis_z"]
-        template[f"{trg}/@axes"] = ["axis_z", "axis_y", "axis_x"]
-        template[f"{trg}/@AXISNAME_indices[axis_x_indices]"] = np.uint32(0)
-        template[f"{trg}/@AXISNAME_indices[axis_y_indices]"] = np.uint32(1)
-        template[f"{trg}/@AXISNAME_indices[axis_z_indices]"] = np.uint32(2)
-        # check again order x, y, z ??
-
-        trg = (
-            f"/ENTRY[entry{self.entry_id}]/correlation"
-            f"/PROCESS[ipf_map{phase_id}]/ipf_rgb_map/data"
-        )
-        # NEW ISSUE: needs one more check if precise currently
-        ipf_map = np.asarray(np.zeros(np.shape(self.stack), np.uint8))  # 4d array
-        # msk = self.phase_id == phase_id
-        indices = np.shape(self.stack)
-        for i in np.arange(0, indices[0]):
-            for j in np.arange(0, indices[1]):
-                for k in np.arange(0, indices[2]):
-                    if self.phase_id[i, j, k, 0] == phase_id:
-                        ipf_map[i, j, k, 0:3] = self.stack[i, j, k, 0:3]
-        # likely this can be done with much fancy numpy nd indexing and more pythonic
-        # instead of this loop nest but this is right at least...
-        # needs a multi-dimensional masking of all values [x, y, z] check order...
-        # where self.phase_id[x, y, z] != phase_id set ipf_map[x, y, z, 0:3]
-        template[f"{trg}"] = {"compress": ipf_map, "strength": 1}
-
-        template[f"{trg}/@long_name"] = "Signal"
-        template[f"{trg}/@CLASS"] = "IMAGE"  # required by H5Web to plot RGB maps
-        template[f"{trg}/@IMAGE_VERSION"] = "1.2"
-        template[f"{trg}/@SUBCLASS_VERSION"] = np.int64(15)
-
-        axes_names = [("axis_x", "x"), ("axis_y", "y"), ("axis_z", "z")]
-        for axisname in axes_names:
-            trg = (
-                f"/ENTRY[entry{self.entry_id}]/correlation"
-                f"/PROCESS[ipf_map{phase_id}]/ipf_rgb_map/AXISNAME[{axisname[0]}]"
-            )
-            template[f"{trg}"] = {"compress": self.xyz[axisname[1]], "strength": 1}
-            template[
-                f"{trg}/@long_name"
-            ] = f"Calibrated position along {axisname[1]}-axis (µm)"
-            template[f"{trg}/@units"] = "µm"  # parse from filter!
-
-        return template
-
-    def parse_inverse_pole_figure_color_key(self, identifier, template: dict) -> dict:
-        """Parse color key renderings of inverse-pole-figure (IPF) mappings."""
-        # in DREAM.3D not_indexed phase is 0 and "first" phase has ID 1
-        # this is coincidently the convention which also this nomad-parser-nexus
-        # em_om reader uses
-        phase_id = identifier
-        phase_name = self.phases[identifier]["name"]
-        print(
-            f"Parse inverse pole figure (IPF) color key {identifier}, {phase_name}..."
-        )
-
-        # the key problem is that the DREAM.3D pipeline does not store the point group
-        # so we need to have a heuristic approach which selects the correct IPF
-        # color maps from the available default color mappings
-        # https://github.com/BlueQuartzSoftware/DREAM3D/tree/v6_5_163/Source/Plugins/
-        # OrientationAnalysis/Data/OrientationAnalysis/IPF_Legend
-        # DREAM.3D stores a library of prerendered color keys as image files
-        color_key_path = (__file__).replace(
-            "dream3d_ebsd_parser.py", "dream3d_v65163_color_keys"
-        )
-        color_key_file_name = f"{color_key_path}/Cubic_High.png"
-        # NEW ISSUE:must not be Cubic_High.png only, this holds only for this example!
-
-        # constraint further to 8bit RGB and no flipping
-        # im = np.asarray(imageio.v3.imread(symm_name))
-        img = np.asarray(
-            thumbnail(
-                pil.open(color_key_file_name, "r", ["png"]), size=HFIVE_WEB_MAX_SIZE
-            ),
-            np.uint8,
-        )
-        img = img[:, :, 0:3]  # discard potential alpha channel
-        # ##MK::need to constrain more the writing of the image that it is guaranteed
-        # a specific type of image and bitdepth and color model, and avoid implicit
-        # image transformations such as flips or rotations
-
-        trg = (
-            f"/ENTRY[entry{self.entry_id}]/correlation"
-            f"/PROCESS[ipf_map{phase_id}]/ipf_rgb_color_model"
-        )
-        template[f"{trg}/title"] = str("Inverse pole figure color key with SST")
-        template[f"{trg}/@signal"] = "data"
-        template[f"{trg}/@axes"] = ["axis_y", "axis_x"]
-        template[f"{trg}/@AXISNAME_indices[axis_x_indices]"] = np.uint32(0)
-        template[f"{trg}/@AXISNAME_indices[axis_y_indices]"] = np.uint32(1)
-        trg = (
-            f"/ENTRY[entry{self.entry_id}]/correlation"
-            f"/PROCESS[ipf_map{phase_id}]/ipf_rgb_color_model/DATA[data]"
-        )
-        template[f"{trg}"] = {"compress": img, "strength": 1}
-        template[f"{trg}/@CLASS"] = "IMAGE"
-        template[f"{trg}/@IMAGE_VERSION"] = "1.2"
-        template[f"{trg}/@SUBCLASS_VERSION"] = np.int64(15)
-
-        axes_names = [("axis_y", 0, "y-axis"), ("axis_x", 1, "x-axis")]
-        for axis in axes_names:
-            trg = (
-                f"/ENTRY[entry{self.entry_id}]/correlation/PROCESS[ipf_map{phase_id}]"
-                f"/ipf_rgb_color_model/AXISNAME[{axis[0]}]"
-            )
-            template[f"{trg}"] = {
-                "compress": np.asarray(
-                    np.linspace(
-                        1,
-                        np.shape(img)[axis[1]],
-                        num=np.shape(img)[axis[1]],
-                        endpoint=True,
-                    ),
-                    np.uint32,
-                ),
-                "strength": 1,
-            }
-            template[f"{trg}/@long_name"] = f"Pixel along {axis[2]}"
-            template[f"{trg}/@units"] = "px"
-
-        return template
-
-    def parse(self, template: dict) -> dict:
-        """Parse NOMAD OASIS relevant data and metadata from a DREAM.3D file."""
-        print("Parsing EBSD data from DREAM.3D...")
-        print(self.file_name)
-        print(f"{self.entry_id}")
-        self.parse_pipeline()
-        self.parse_roi_geometry()
-        self.parse_roi_dimension_scale_axes()
-        self.parse_roi_default_plot(template)
-        self.parse_phases(template)
-        self.parse_inverse_pole_figures(template)
-        return template
diff --git a/pynxtools/dataconverter/readers/em_om/utils/dream3d_filter_class.py b/pynxtools/dataconverter/readers/em_om/utils/dream3d_filter_class.py
deleted file mode 100644
index c1567cb22..000000000
--- a/pynxtools/dataconverter/readers/em_om/utils/dream3d_filter_class.py
+++ /dev/null
@@ -1,60 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Definition of DREAM3D SIMPL filters and their controlled vocabulary."""
-
-# pylint: disable=no-member,pointless-string-statement
-
-
-'''
-class DreamThreedFilter():
-    """Description of a filter/plug-in from DREAM.3D."""
-
-    def __init__(self, version="", name="", **kwargs):
-        # mandatory
-        self.version = ""
-        assert isinstance(version, str), "Argument version has to be a string!"
-        # assert version != "", "Version mandatory!"
-        self.version = version
-        self.name = ""
-        assert isinstance(name, str), "Argument name has to be a string!"
-        # assert name != "", "Name mandatory!"
-        self.name = name
-
-        # optional
-        self.human_label = ""
-        if "human_label" in kwargs:
-            self.human_label = kwargs["human_label"]
-        self.enabled = False
-        if "enabled" in kwargs:
-            self.enabled = kwargs["enabled"]
-        self.uuid = ""
-        if "uuid" in kwargs:
-            self.uuid = kwargs["uuid"]
-
-        # controlled flattened keywords
-        self.terms = {}
-        # if dct is not None:
-        #     for key in dct.keys():
-        #         self.terms[key] = "add something useful"
-        print(f"DREAM.3D filter instance, version {self.version}, name {self.name}")
-
-    def debug(self):
-        """Offer functionality testing"""
-        tmp = DreamThreedFilter(version="12", name="test")
-        print(f"DEBUG: {tmp.version}")
-'''
diff --git a/pynxtools/dataconverter/readers/em_om/utils/dream3d_v65163_color_keys/Cubic_High.png b/pynxtools/dataconverter/readers/em_om/utils/dream3d_v65163_color_keys/Cubic_High.png
deleted file mode 100644
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z-~a9ZV{g(B_YOhv#UkYI+`j$WB%_0-jYaIis7tG7!RY>}71zzgJn9~Eb34Z6B8bOQ
zp}OB3N$c)iMI~xA0UOfVr+?V&)_=<uTq8{jC8sP`R9y>KbZ!SYAaPOh?%SuJf~lf>
z*TKo*vjq3~+;Uy1OCmK)zHR@ssMNSk-fYw=X~>cl@Uvf(mDx3ByY^+JpHuE#C9I16
z2IrM>Sj+fXMB9Y~DKH!rQ=lW4*pBlfh+#eTbp1^dyeFF>`k{%hK(O#2BPz#vbtMzQ
zzR4osHY62Q==a0rp7~)v#t@#%7Azvz@y(kza8!T0jgh6k;nvU+xd<Cj4zGG7h#f|Z
z`mUw>$W1M4;a^zROANX6&U~)$$no`Wtep0!8)!Hfq>$^?_Bexn#eNy7cE>9H0NqM(
zZ#S=q@o{Ez5<jA>2O}Vg;eOxnyteNnvWA=+aYjgrH+cy5zH*)anC041!;cLRq*@RW
zAz<yQ@CM>B5^@~&@)&-oMW|-e*%h;asitN%81sbh!gYLaL6Z(7)&vpB^16+Tj4<2P
zf_a$$&1N4p2u>NpFc~8}<piI&&YqEuVXzdG7Uw1nzkMs=tdW@{a)!k1ZN(r*@X5#Z
z^7PRBbE9lT@Zpb@iNvTP!YN<a4HIft_x?+KCps}1ECZ#Quafs=bJL=zATq5*cA5RH
z>%LuAbut-IAl>z4v}SrIjf|g>R<iu^()on)69I8cg<xej2PAlZ$S1;lB?8S7b;n&s
zMtLLc(S6nCrp4$4uyjZIJGKGkq{Y?ZK?H92z)KGz6EpCG-jFoCvnB9X+Iiu`mb!>2
z{U)^=eg$H@)qEliYlR#%PsxfEM9?x&{o%o`Hw4{7$9Pww_xRnJx8!<ExPtp!=^;w@
zt8j!sbNX|mmbT~TACoPT4<N@1)-9rMXD`$!MEt~-2)T`j>~x|2DI!wpXE62MsOt{?
zS6=!G*D**`%Ix+ir+{xS*X(~<q?i<AR_*Yw@TV7NEoLLat*RaH<wy4_1oE1rqvU|>
z1R0RSSjN6;2U0e0T%1TvmjkaSbOrs@vCD?`Um3X`pOySnL}Z#J)yQDa|I<+SnD3{?
zhrj%^eBqYeGuCT9{AuF@vC-b*m&phHFP>W=*0J!*xsjiziTr!+j|<ZOaTOvz?&n{+
zoL0M_j2dHI{N~T0ss$p;YWFF*mshEsw{+UHNe~t9?>qHAGYu8qzTcC+BLeeCMC7M`
vPmQ9_l@(G^5q-ZO`<wQsK;8Q<zwp#_I}i2FnT)VJvP9|@6C>8<gMa=HvCYD?

diff --git a/pynxtools/dataconverter/readers/em_om/utils/em_nexus_plots.py b/pynxtools/dataconverter/readers/em_om/utils/em_nexus_plots.py
deleted file mode 100644
index 229b68dab..000000000
--- a/pynxtools/dataconverter/readers/em_om/utils/em_nexus_plots.py
+++ /dev/null
@@ -1,125 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Logic for annotating existent default plots in NXdata for NXem_ebsd for H5Web."""
-
-# pylint: disable=no-member
-
-HFIVE_WEB_MAX_SIZE = 2048
-
-
-def roi_plot_available(template: dict, entry_id: int) -> bool:
-    """Choose a preferred NXdata/data instance either the ROI or IPF map."""
-    # most interesting to show are three-dimensional orientation mappings ...
-    trg = f"/ENTRY[entry{entry_id}]/correlation/region_of_interest/roi/data"
-    if trg in template.keys():
-        print(f"Found image default plot for entry{entry_id}")
-        trg = "/"
-        template[f"{trg}@default"] = f"entry{entry_id}"
-        trg += f"ENTRY[entry{entry_id}]/"
-        template[f"{trg}@default"] = "correlation"
-        trg += "correlation/"
-        template[f"{trg}@default"] = "region_of_interest"
-        trg += "region_of_interest/"
-        template[f"{trg}@default"] = "roi"
-        return True
-
-    # fall-back display an IPF mapping
-    trg = f"/ENTRY[entry{entry_id}]/correlation/PROCESS[ipf_map1]/ipf_rgb_map/data"
-    # by definition if there is one it will be always the first one and we use this IPF map
-    if trg in template.keys():
-        print(f"Found image default plot for entry{entry_id}")
-        trg = "/"
-        template[f"{trg}@default"] = f"entry{entry_id}"
-        trg += f"ENTRY[entry{entry_id}]/"
-        template[f"{trg}@default"] = "correlation"
-        trg += "correlation/"
-        template[f"{trg}@default"] = "ipf_map1"
-        trg += "PROCESS[ipf_map1]/"
-        template[f"{trg}@default"] = "ipf_rgb_map"
-        return True
-
-    # ... but in most practical cases we have two-dimensional EBSD maps only...
-    trg = f"/ENTRY[entry{entry_id}]/experiment/indexing/region_of_interest/roi/data"
-    if trg in template.keys():
-        print(f"Found image default plot for entry{entry_id}")
-        trg = "/"
-        template[f"{trg}@default"] = f"entry{entry_id}"
-        trg += f"ENTRY[entry{entry_id}]/"
-        template[f"{trg}@default"] = "experiment"
-        trg += "experiment/"
-        template[f"{trg}@default"] = "indexing"
-        trg += "indexing/"
-        template[f"{trg}@default"] = "region_of_interest"
-        return True
-
-    # fall-back display an IPF mapping
-    trg = (
-        f"/ENTRY[entry{entry_id}]/experiment/indexing"
-        f"/PROCESS[ipf_map1]/ipf_rgb_map/data"
-    )
-    # by definition if there is one it will be always the first one and we use this IPF map
-    if trg in template.keys():
-        print(f"Found image default plot for entry{entry_id}")
-        trg = "/"
-        template[f"{trg}@default"] = f"entry{entry_id}"
-        trg += f"ENTRY[entry{entry_id}]/"
-        template[f"{trg}@default"] = "experiment"
-        trg += "experiment/"
-        template[f"{trg}@default"] = "indexing"
-        trg += "indexing/"
-        template[f"{trg}@default"] = "ipf_map1"
-        trg += "PROCESS[ipf_map1]/"
-        template[f"{trg}@default"] = "ipf_rgb_map"
-        return True
-
-    return False
-
-
-def diffraction_pattern_available(template: dict, entry_id: int) -> bool:
-    """Choose a preferred NXdata/data instance diffraction pattern."""
-    trg = (
-        f"/ENTRY[entry{entry_id}]/simulation/IMAGE_SET_EM_KIKUCHI"
-        f"[image_set_em_kikuchi]/stack/data_counts"
-    )
-    if trg in template.keys():
-        print(f"Found image default plot for entry{entry_id}")
-        trg = "/"
-        template[f"{trg}@default"] = f"entry{entry_id}"
-        trg += f"ENTRY[entry{entry_id}]/"
-        template[f"{trg}@default"] = "simulation"
-        trg += "simulation/"
-        template[f"{trg}@default"] = "image_set_em_kikuchi"
-        trg += "image_set_em_kikuchi/"
-        template[f"{trg}@default"] = "stack"
-        return True
-
-    return False
-
-
-def em_om_default_plot_generator(template: dict, entry_id: int) -> dict:
-    """Identify and annotate default plot."""
-    # prefer to show the region-of-interest overview as the default plot
-    # if this does not exist, try to find one of the IPF color mappings
-    if roi_plot_available(template, entry_id) is True:
-        return template
-
-    if diffraction_pattern_available(template, entry_id) is True:
-        return template
-
-    print(f"WARNING: No path to a default plot found for entry{entry_id} !")
-    return template
diff --git a/pynxtools/dataconverter/readers/em_om/utils/euler_angle_convention.py b/pynxtools/dataconverter/readers/em_om/utils/euler_angle_convention.py
deleted file mode 100644
index 6b61c7a62..000000000
--- a/pynxtools/dataconverter/readers/em_om/utils/euler_angle_convention.py
+++ /dev/null
@@ -1,65 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Definitions for different conventions associated with Euler angles."""
-
-# pylint: disable=no-member
-
-# Euler angles are a parameterization for orientations which use three
-# consecutively rotations (3D) rotations to rotate a configuration
-# described by an attached Cartesian CS na(False, "", ""),         "", ""),med A into configuration
-# described by an attached Cartesian CS named B
-# the sequence about which specific axis and new/intermediate axes
-# one rotates enables to distinguish different types of Euler angle
-# so-called Euler-angle conventions, most commonly used in materials
-# science is the convention of H.-J. Bunge aka zxz convention
-
-# "Bunge" https://doi.org/10.1016/C2013-0-11769-2
-# "Rowenhorst" https://doi.org/10.1088/0965-0393/23/8/083501
-# "Morawiec" https://doi.org/10.1007/978-3-662-09156-2
-# "Britton" https://doi.org/10.1016/j.matchar.2016.04.008
-
-
-which_euler_convention = {
-    "xxx": (False, "", ""),
-    "xxy": (True, "", ""),
-    "xxz": (True, "", ""),
-    "xyx": (True, "", ""),
-    "xyy": (True, "", ""),
-    "xyz": (True, "", ""),
-    "xzx": (True, "", ""),
-    "xzy": (True, "", ""),
-    "xzz": (True, "", ""),
-    "yxx": (True, "", ""),
-    "yxy": (True, "", ""),
-    "yxz": (True, "", ""),
-    "yyx": (True, "", ""),
-    "yyy": (False, "", ""),
-    "yyz": (True, "", ""),
-    "yzx": (True, "", ""),
-    "yzy": (True, "", ""),
-    "yzz": (True, "", ""),
-    "zxx": (True, "", ""),
-    "zxy": (True, "", ""),
-    "zxz": (True, "Bunge", "proper"),
-    "zyx": (True, "", ""),
-    "zyy": (True, "", ""),
-    "zyz": (True, "", ""),
-    "zzx": (True, "", ""),
-    "zzy": (True, "", ""),
-    "zzz": (False, "", ""),
-}
diff --git a/pynxtools/dataconverter/readers/em_om/utils/generic_eln_io.py b/pynxtools/dataconverter/readers/em_om/utils/generic_eln_io.py
deleted file mode 100644
index 337f2086e..000000000
--- a/pynxtools/dataconverter/readers/em_om/utils/generic_eln_io.py
+++ /dev/null
@@ -1,366 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Parse metadata in generic (like reported by an OASIS ELN) schema."""
-
-# pylint: disable=no-member,duplicate-code
-
-import numpy as np
-
-import flatdict as fd
-
-import yaml
-
-# from ase.data import chemical_symbols
-
-from pynxtools.dataconverter.readers.em_om.utils.versioning import (
-    NX_EM_OM_ADEF_NAME,
-    NX_EM_OM_ADEF_VERSION,
-)
-from pynxtools.dataconverter.readers.em_om.utils.versioning import (
-    NX_EM_OM_EXEC_NAME,
-    NX_EM_OM_EXEC_VERSION,
-)
-
-from pynxtools.dataconverter.readers.em_om.utils.handed_cartesian import (
-    REFERENCE_FRAMES,
-    AXIS_DIRECTIONS,
-    is_cs_well_defined,
-)
-
-# example how to check against different types of Euler angle conventions
-# from pynxtools.dataconverter.readers.em_om.utils.euler_angle_convention \
-#    import which_euler_convention
-
-# example how to check if set of conventions matches to some suggestion in the literature
-# from pynxtools.dataconverter.readers.em_om.utils.msmse_convention \
-#     import is_consistent_with_msmse_convention
-
-
-class NxEmOmGenericElnSchemaParser:
-    """Parse eln_data.yaml dump file content generated from an (e.g. OASIS) ELN."""
-
-    def __init__(self, file_name: str, entry_id: int, pattern_simulation: bool):
-        """Fill template with ELN pieces of information."""
-        self.pattern_simulation = pattern_simulation
-        print(f"Extracting data from ELN file: {file_name}")
-        if (
-            file_name.rsplit("/", 1)[-1].startswith("eln_data")
-            or file_name.startswith("eln_data")
-        ) and entry_id > 0:
-            self.entry_id = entry_id
-            self.file_name = file_name
-            with open(self.file_name, "r", encoding="utf-8") as stream:
-                self.yml = fd.FlatDict(yaml.safe_load(stream), delimiter=":")
-        else:
-            self.entry_id = 1
-            self.file_name = ""
-            self.yml = {}
-
-        # if "ElectronBackscatterDiffraction" in self.yml:
-        #     self.yml = self.yml["ElectronBackscatterDiffraction"]
-
-    def parse(self, template: dict) -> dict:
-        """Extract metadata from generic ELN text file to respective NeXus objects."""
-        print("Parsing ELN input...")
-        print(f"{self.file_name}")
-        print(f"{self.entry_id}")
-        self.parse_entry_section(template)
-        self.parse_user_section(template)
-        if self.pattern_simulation is False:
-            self.parse_commerical_on_the_fly_section(template)
-            self.parse_measurement_section(template)
-            self.parse_calibration_section(template)
-        self.parse_rotation_convention_section(template)
-        self.parse_processing_frame_section(template)
-        self.parse_sample_frame_section(template)
-        self.parse_detector_frame_section(template)
-        self.parse_gnomonic_projection_section(template)
-        if self.pattern_simulation is False:
-            self.parse_indexing(template)
-        return template
-
-    def parse_entry_section(self, template: dict) -> dict:
-        """ "Parse entry section."""
-        print("Parse entry...")
-        src = "entry"
-        trg = f"/ENTRY[entry{self.entry_id}]/"
-        if (self.yml[f"{src}:attr_version"] == NX_EM_OM_ADEF_VERSION) and (
-            self.yml[f"{src}:definition"] == NX_EM_OM_ADEF_NAME
-        ):
-            template[f"{trg}@version"] = NX_EM_OM_ADEF_VERSION
-            template[f"{trg}definition"] = NX_EM_OM_ADEF_NAME
-            template[f"{trg}PROGRAM[program1]/program"] = NX_EM_OM_EXEC_NAME
-            template[f"{trg}PROGRAM[program1]/program/@version"] = NX_EM_OM_EXEC_VERSION
-        if ("program" in self.yml[src].keys()) and (
-            "program__attr_version" in self.yml[src].keys()
-        ):
-            template[f"{trg}PROGRAM[program2]/program"] = self.yml[f"{src}:program"]
-            template[f"{trg}PROGRAM[program2]/program/@version"] = self.yml[
-                f"{src}:program__attr_version"
-            ]
-        # check that versions NX_EM_OM_* match
-        req_field_names = [
-            "definition",
-            "start_time",
-            "end_time",
-            "workflow_description",
-            "workflow_identifier",
-        ]
-        for field in req_field_names:
-            if field in self.yml[src].keys():
-                template[f"{trg}{field}"] = self.yml[f"{src}:{field}"]
-
-        return template
-
-    def parse_user_section(self, template: dict) -> dict:
-        """Parse user section."""
-        print("Parse user...")
-        src = "user"
-        if not isinstance(self.yml[src], list):
-            return template
-        user_id = 1
-        for user_list in self.yml[src]:
-            trg = f"/ENTRY[entry{self.entry_id}]/USER[user{user_id}]/"
-            field_names = [
-                "name",
-                "email",
-                "affiliation",
-                "address",
-                "orcid",
-                "orcid_platform",
-                "telephone_number",
-                "role",
-                "social_media_name",
-                "social_media_platform",
-            ]
-            for field_name in field_names:
-                if field_name in user_list.keys():
-                    template[f"{trg}{field_name}"] = user_list[field_name]
-            user_id += 1
-        return template
-
-    def parse_commerical_on_the_fly_section(self, template: dict) -> dict:
-        """Parse the on-the-fly section."""
-        print("Parse commercial on-the-fly")
-        src = "commercial_on_the_fly_indexing"
-        trg = f"/ENTRY[entry{self.entry_id}]/experiment/indexing/on_the_fly_indexing/"
-        if ("program" in self.yml[src].keys()) and (
-            "program__attr_version" in self.yml[src].keys()
-        ):
-            template[f"{trg}PROGRAM[program1]/program"] = self.yml[f"{src}:program"]
-            template[f"{trg}PROGRAM[program1]/program/@version"] = self.yml[
-                f"{src}:program__attr_version"
-            ]
-        if "results_file" in self.yml[src].keys():
-            template[f"{trg}origin"] = self.yml[f"{src}:results_file"]
-        if "results_file__attr_version" in self.yml[src].keys():
-            template[f"{trg}origin/@version"] = self.yml[
-                f"{src}:results_file__attr_version"
-            ]
-        template[f"{trg}path"] = str("undefined")
-        # NEW ISSUE: this is a bug not results_file version in eln but path !!
-        return template
-
-    def parse_measurement_section(self, template: dict) -> dict:
-        """Parse measurement section establishing link between NXem_ebsd and NXem."""
-        print("Parse measurement...")
-        src = "measurement"
-        field_names = ["origin", "path"]
-        trg = f"/ENTRY[entry{self.entry_id}]/experiment/acquisition/"
-        for field_name in field_names:
-            if field_name in self.yml[src].keys():
-                template[f"{trg}{field_name}"] = self.yml[f"{src}:{field_name}"]
-        if "origin__attr_version" in self.yml[src].keys():
-            template[f"{trg}origin/@version"] = self.yml[f"{src}:origin__attr_version"]
-        return template
-
-    def parse_calibration_section(self, template: dict) -> dict:
-        """Parse calibration section."""
-        print("Parse calibration...")
-        src = "calibration"
-        field_names = ["origin", "path"]
-        trg = f"/ENTRY[entry{self.entry_id}]/experiment/calibration/"
-        for field_name in field_names:
-            if field_name in self.yml[src].keys():
-                template[f"{trg}{field_name}"] = self.yml[f"{src}:{field_name}"]
-        if "origin__attr_version" in self.yml[src].keys():
-            template[f"{trg}origin/@version"] = self.yml[f"{src}:origin__attr_version"]
-        return template
-
-    def parse_rotation_convention_section(self, template: dict) -> dict:
-        """Parse rotation conventions."""
-        src = "rotation_conventions"
-        trg = f"/ENTRY[entry{self.entry_id}]/conventions/rotation_conventions/"
-        terms = [
-            "three_dimensional_rotation_handedness",
-            "rotation_convention",
-            "euler_angle_convention",
-            "axis_angle_convention",
-        ]
-        for term in terms:
-            if term in self.yml[src].keys():
-                template[f"{trg}{term}"] = self.yml[f"{src}:{term}"].lower()
-        # one term named differently in ELN than in NeXus appdef template keyword
-        if "sign_convention" in self.yml[src].keys():
-            template[f"{trg}orientation_parameterization_sign_convention"] = self.yml[
-                f"{src}:sign_convention"
-            ].lower()
-        # if desired one could check conventions are consistent with specific ones
-        return template
-
-    def parse_processing_frame_section(self, template: dict) -> dict:
-        """Parse processing reference frame definitions."""
-        axes_names = ["x", "y", "z"]
-        src = "processing_reference_frame"
-        trg = f"/ENTRY[entry{self.entry_id}]/conventions/processing_reference_frame/"
-        if "reference_frame_type" in self.yml[src].keys():
-            if self.yml[f"{src}:reference_frame_type"] in REFERENCE_FRAMES:
-                template[f"{trg}reference_frame_type"] = self.yml[
-                    f"{src}:reference_frame_type"
-                ]
-            xyz_directions = ["undefined", "undefined", "undefined"]
-            xyz_aliases = ["", "", ""]
-            for idx in np.arange(0, 3):
-                axis_name = axes_names[idx]
-                if f"{axis_name}axis_direction" in self.yml[src].keys():
-                    if self.yml[f"{src}:{axis_name}axis_direction"] in AXIS_DIRECTIONS:
-                        xyz_directions[idx] = self.yml[
-                            f"{src}:{axis_name}axis_direction"
-                        ]
-                if f"{axis_name}axis_alias" in self.yml[src].keys():
-                    xyz_aliases[idx] = self.yml[f"{src}:{axis_name}axis_alias"]
-
-            if is_cs_well_defined(
-                self.yml[f"{src}:reference_frame_type"], xyz_directions
-            ):
-                for idx in np.arange(0, 3):
-                    axis_name = axes_names[idx]
-                    template[f"{trg}{axis_name}axis_direction"] = xyz_directions[idx]
-                    template[f"{trg}{axis_name}axis_alias"] = xyz_aliases[idx]
-            if "origin" in self.yml[src].keys():
-                template[f"{trg}origin"] = self.yml[f"{src}:origin"]
-        return template
-
-    def parse_sample_frame_section(self, template: dict) -> dict:
-        """Parse sample reference frame definitions."""
-        axes_names = ["x", "y", "z"]
-        src = "sample_reference_frame"
-        trg = f"/ENTRY[entry{self.entry_id}]/conventions/sample_reference_frame/"
-        if "reference_frame_type" in self.yml[src].keys():
-            if self.yml[f"{src}:reference_frame_type"] in REFERENCE_FRAMES:
-                template[f"{trg}reference_frame_type"] = self.yml[
-                    f"{src}:reference_frame_type"
-                ]
-            xyz_directions = ["undefined", "undefined", "undefined"]
-            for idx in np.arange(0, 3):
-                axis_name = axes_names[idx]
-                if f"{axis_name}axis_direction" in self.yml[src].keys():
-                    if self.yml[f"{src}:{axis_name}axis_direction"] in AXIS_DIRECTIONS:
-                        xyz_directions[idx] = self.yml[
-                            f"{src}:{axis_name}axis_direction"
-                        ]
-            if is_cs_well_defined(
-                self.yml[f"{src}:reference_frame_type"], xyz_directions
-            ):
-                for idx in np.arange(0, 3):
-                    axis_name = axes_names[idx]
-                    template[f"{trg}{axis_name}axis_direction"] = xyz_directions[idx]
-            if "origin" in self.yml[src].keys():
-                template[f"{trg}origin"] = self.yml[f"{src}:origin"]
-        return template
-
-    def parse_detector_frame_section(self, template: dict) -> dict:
-        """Parse detector reference frame definitions."""
-        axes_names = ["x", "y", "z"]
-        src = "detector_reference_frame"
-        trg = f"/ENTRY[entry{self.entry_id}]/conventions/detector_reference_frame/"
-        if "reference_frame_type" in self.yml[src].keys():
-            if self.yml[f"{src}:reference_frame_type"] in REFERENCE_FRAMES:
-                template[f"{trg}reference_frame_type"] = self.yml[
-                    f"{src}:reference_frame_type"
-                ]
-            xyz_directions = ["undefined", "undefined", "undefined"]
-            for idx in np.arange(0, 3):
-                axis_name = axes_names[idx]
-                if f"{axis_name}axis_direction" in self.yml[src].keys():
-                    if self.yml[f"{src}:{axis_name}axis_direction"] in AXIS_DIRECTIONS:
-                        xyz_directions[idx] = self.yml[
-                            f"{src}:{axis_name}axis_direction"
-                        ]
-            if is_cs_well_defined(
-                self.yml[f"{src}:reference_frame_type"], xyz_directions
-            ):
-                for idx in np.arange(0, 3):
-                    axis_name = axes_names[idx]
-                    template[f"{trg}{axis_name}axis_direction"] = xyz_directions[idx]
-            if "origin" in self.yml[src].keys():
-                template[f"{trg}origin"] = self.yml[f"{src}:origin"]
-        # ... <-- is the same except for the src name
-        return template
-
-    def parse_gnomonic_projection_section(self, template: dict) -> dict:
-        """Parse for the gnomonic projection."""
-        axes_names = ["x", "y", "z"]
-        src = "gnomonic_projection:gnomonic_projection_reference_frame"
-        trg = (
-            f"/ENTRY[entry{self.entry_id}]/conventions"
-            f"/gnomonic_projection_reference_frame/"
-        )
-        if "reference_frame_type" in self.yml[src].keys():
-            if self.yml[f"{src}:reference_frame_type"] in REFERENCE_FRAMES:
-                template[f"{trg}reference_frame_type"] = self.yml[
-                    f"{src}:reference_frame_type"
-                ]
-            xyz_directions = ["undefined", "undefined", "undefined"]
-            for idx in np.arange(0, 3):
-                axis_name = axes_names[idx]
-                if f"{axis_name}axis_direction" in self.yml[src].keys():
-                    if self.yml[f"{src}:{axis_name}axis_direction"] in AXIS_DIRECTIONS:
-                        xyz_directions[idx] = self.yml[
-                            f"{src}:{axis_name}axis_direction"
-                        ]
-            if is_cs_well_defined(
-                self.yml[f"{src}:reference_frame_type"], xyz_directions
-            ):
-                for idx in np.arange(0, 3):
-                    axis_name = axes_names[idx]
-                    template[f"{trg}{axis_name}axis_direction"] = xyz_directions[idx]
-            if "origin" in self.yml[src].keys():
-                template[f"{trg}origin"] = self.yml[f"{src}:origin"]
-
-        src = "gnomonic_projection:pattern_centre"
-        trg = f"/ENTRY[entry{self.entry_id}]/conventions/pattern_centre/"
-        axes_names = ["x", "y"]
-        field_names = ["axis_boundary_convention", "axis_normalization_direction"]
-        for idx in np.arange(0, 2):
-            axis_name = axes_names[idx]
-            for field_name in field_names:
-                if f"{axis_name}{field_name}" in self.yml[src].keys():
-                    template[f"{trg}{axis_name}{field_name}"] = self.yml[
-                        f"{src}:{axis_name}{field_name}"
-                    ]
-        return template
-
-    def parse_indexing(self, template: dict) -> dict:
-        """Parse indexing section."""
-        print("Parse indexing...")
-        src = "indexing"
-        trg = f"/ENTRY[entry{self.entry_id}]/experiment/indexing"
-        if "method" in self.yml[src].keys():
-            template[f"{trg}/method"] = self.yml[f"{src}:method"]
-        return template
diff --git a/pynxtools/dataconverter/readers/em_om/utils/handed_cartesian.py b/pynxtools/dataconverter/readers/em_om/utils/handed_cartesian.py
deleted file mode 100644
index f0d9f63d0..000000000
--- a/pynxtools/dataconverter/readers/em_om/utils/handed_cartesian.py
+++ /dev/null
@@ -1,749 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Definitions for right- or left-handed Cartesian coordinate system."""
-
-# pylint: disable=no-member
-
-# the nxebsd.schema.archive.yaml" offers a set of sets of RadioEditButtons
-# each such set can be used to define the unique orientation of a right-handed
-# Cartesian coordinate system's base vectors when viewed by an outer observer
-# looking to the display of the coordinate system triplet vector and comparing
-# to the plane of sight and a compass
-# the compass defines four directions, north aka up, east aka right, south aka down,
-# and west aka left. The plane of sight defines two additional directions in aka
-# into the plane and out aka out-of-the-plane
-# there are different strategies what users find convenient to report to specify
-# the directions into which the base vectors are assumed pointing
-# in general only two perpendicular directions have to be specified as the third
-# follows implicitly i.e. there is no need to overconstraint hence the term "undefined"
-# the following dictionary is a lookup table whereby the input of the user
-# can be evaluated to check if the radioeditbutton choice result in a fully constraint
-# and thus unique definition. All other choices are reported as a not fully constraint
-# i.e. eventually problematic coordinate system
-
-REFERENCE_FRAMES = ["undefined", "right_handed_cartesian", "left_handed_cartesian"]
-
-AXIS_DIRECTIONS = ["undefined", "north", "east", "south", "west", "in", "out"]
-
-# is a right-handed Cartesian coordinate system sufficiently constrained, when
-# at least two base vector directions are chosen
-is_cs_rh_unambiguous = {
-    "undefined_undefined_undefined": False,
-    "undefined_undefined_north": False,
-    "undefined_undefined_east": False,
-    "undefined_undefined_south": False,
-    "undefined_undefined_west": False,
-    "undefined_undefined_in": False,
-    "undefined_undefined_out": False,
-    "undefined_north_undefined": False,
-    "undefined_north_north": False,
-    "undefined_north_east": True,
-    "undefined_north_south": True,
-    "undefined_north_west": True,
-    "undefined_north_in": True,
-    "undefined_north_out": True,
-    "undefined_east_undefined": False,
-    "undefined_east_north": True,
-    "undefined_east_east": False,
-    "undefined_east_south": True,
-    "undefined_east_west": False,
-    "undefined_east_in": True,
-    "undefined_east_out": True,
-    "undefined_south_undefined": False,
-    "undefined_south_north": False,
-    "undefined_south_east": True,
-    "undefined_south_south": False,
-    "undefined_south_west": True,
-    "undefined_south_in": True,
-    "undefined_south_out": True,
-    "undefined_west_undefined": False,
-    "undefined_west_north": True,
-    "undefined_west_east": False,
-    "undefined_west_south": True,
-    "undefined_west_west": False,
-    "undefined_west_in": True,
-    "undefined_west_out": True,
-    "undefined_in_undefined": False,
-    "undefined_in_north": True,
-    "undefined_in_east": True,
-    "undefined_in_south": True,
-    "undefined_in_west": True,
-    "undefined_in_in": False,
-    "undefined_in_out": False,
-    "undefined_out_undefined": False,
-    "undefined_out_north": True,
-    "undefined_out_east": True,
-    "undefined_out_south": True,
-    "undefined_out_west": True,
-    "undefined_out_in": False,
-    "undefined_out_out": False,
-    "north_undefined_undefined": False,
-    "north_undefined_north": False,
-    "north_undefined_east": True,
-    "north_undefined_south": False,
-    "north_undefined_west": True,
-    "north_undefined_in": True,
-    "north_undefined_out": True,
-    "north_north_undefined": False,
-    "north_north_north": False,
-    "north_north_east": False,
-    "north_north_south": False,
-    "north_north_west": False,
-    "north_north_in": False,
-    "north_north_out": False,
-    "north_east_undefined": True,
-    "north_east_north": False,
-    "north_east_east": False,
-    "north_east_south": False,
-    "north_east_west": False,
-    "north_east_in": True,
-    "north_east_out": False,
-    "north_south_undefined": False,
-    "north_south_north": False,
-    "north_south_east": False,
-    "north_south_south": False,
-    "north_south_west": False,
-    "north_south_in": False,
-    "north_south_out": False,
-    "north_west_undefined": True,
-    "north_west_north": False,
-    "north_west_east": False,
-    "north_west_south": False,
-    "north_west_west": False,
-    "north_west_in": False,
-    "north_west_out": True,
-    "north_in_undefined": True,
-    "north_in_north": False,
-    "north_in_east": False,
-    "north_in_south": False,
-    "north_in_west": True,
-    "north_in_in": False,
-    "north_in_out": False,
-    "north_out_undefined": True,
-    "north_out_north": False,
-    "north_out_east": True,
-    "north_out_south": False,
-    "north_out_west": False,
-    "north_out_in": False,
-    "north_out_out": False,
-    "east_undefined_undefined": False,
-    "east_undefined_north": True,
-    "east_undefined_east": False,
-    "east_undefined_south": True,
-    "east_undefined_west": False,
-    "east_undefined_in": True,
-    "east_undefined_out": True,
-    "east_north_undefined": True,
-    "east_north_north": False,
-    "east_north_east": False,
-    "east_north_south": False,
-    "east_north_west": False,
-    "east_north_in": False,
-    "east_north_out": True,
-    "east_east_undefined": False,
-    "east_east_north": False,
-    "east_east_east": False,
-    "east_east_south": False,
-    "east_east_west": False,
-    "east_east_in": False,
-    "east_east_out": False,
-    "east_south_undefined": True,
-    "east_south_north": False,
-    "east_south_east": False,
-    "east_south_south": False,
-    "east_south_west": False,
-    "east_south_in": True,
-    "east_south_out": False,
-    "east_west_undefined": False,
-    "east_west_north": False,
-    "east_west_east": False,
-    "east_west_south": False,
-    "east_west_west": False,
-    "east_west_in": False,
-    "east_west_out": False,
-    "east_in_undefined": True,
-    "east_in_north": True,
-    "east_in_east": False,
-    "east_in_south": False,
-    "east_in_west": False,
-    "east_in_in": False,
-    "east_in_out": False,
-    "east_out_undefined": True,
-    "east_out_north": False,
-    "east_out_east": False,
-    "east_out_south": True,
-    "east_out_west": False,
-    "east_out_in": False,
-    "east_out_out": False,
-    "south_undefined_undefined": False,
-    "south_undefined_north": False,
-    "south_undefined_east": True,
-    "south_undefined_south": False,
-    "south_undefined_west": True,
-    "south_undefined_in": True,
-    "south_undefined_out": True,
-    "south_north_undefined": False,
-    "south_north_north": False,
-    "south_north_east": False,
-    "south_north_south": False,
-    "south_north_west": False,
-    "south_north_in": False,
-    "south_north_out": False,
-    "south_east_undefined": True,
-    "south_east_north": False,
-    "south_east_east": False,
-    "south_east_south": False,
-    "south_east_west": False,
-    "south_east_in": False,
-    "south_east_out": True,
-    "south_south_undefined": False,
-    "south_south_north": False,
-    "south_south_east": False,
-    "south_south_south": False,
-    "south_south_west": False,
-    "south_south_in": False,
-    "south_south_out": False,
-    "south_west_undefined": True,
-    "south_west_north": False,
-    "south_west_east": False,
-    "south_west_south": False,
-    "south_west_west": False,
-    "south_west_in": True,
-    "south_west_out": False,
-    "south_in_undefined": True,
-    "south_in_north": False,
-    "south_in_east": True,
-    "south_in_south": False,
-    "south_in_west": False,
-    "south_in_in": False,
-    "south_in_out": False,
-    "south_out_undefined": True,
-    "south_out_north": False,
-    "south_out_east": False,
-    "south_out_south": False,
-    "south_out_west": True,
-    "south_out_in": False,
-    "south_out_out": False,
-    "west_undefined_undefined": False,
-    "west_undefined_north": True,
-    "west_undefined_east": False,
-    "west_undefined_south": True,
-    "west_undefined_west": False,
-    "west_undefined_in": True,
-    "west_undefined_out": True,
-    "west_north_undefined": True,
-    "west_north_north": False,
-    "west_north_east": False,
-    "west_north_south": False,
-    "west_north_west": False,
-    "west_north_in": True,
-    "west_north_out": False,
-    "west_east_undefined": False,
-    "west_east_north": False,
-    "west_east_east": False,
-    "west_east_south": False,
-    "west_east_west": False,
-    "west_east_in": False,
-    "west_east_out": False,
-    "west_south_undefined": True,
-    "west_south_north": False,
-    "west_south_east": False,
-    "west_south_south": False,
-    "west_south_west": False,
-    "west_south_in": False,
-    "west_south_out": True,
-    "west_west_undefined": False,
-    "west_west_north": False,
-    "west_west_east": False,
-    "west_west_south": False,
-    "west_west_west": False,
-    "west_west_in": False,
-    "west_west_out": False,
-    "west_in_undefined": True,
-    "west_in_north": False,
-    "west_in_east": False,
-    "west_in_south": True,
-    "west_in_west": False,
-    "west_in_in": False,
-    "west_in_out": False,
-    "west_out_undefined": True,
-    "west_out_north": True,
-    "west_out_east": False,
-    "west_out_south": False,
-    "west_out_west": False,
-    "west_out_in": False,
-    "west_out_out": False,
-    "in_undefined_undefined": False,
-    "in_undefined_north": True,
-    "in_undefined_east": True,
-    "in_undefined_south": True,
-    "in_undefined_west": True,
-    "in_undefined_in": False,
-    "in_undefined_out": False,
-    "in_north_undefined": True,
-    "in_north_north": False,
-    "in_north_east": True,
-    "in_north_south": False,
-    "in_north_west": False,
-    "in_north_in": False,
-    "in_north_out": False,
-    "in_east_undefined": True,
-    "in_east_north": False,
-    "in_east_east": False,
-    "in_east_south": True,
-    "in_east_west": False,
-    "in_east_in": False,
-    "in_east_out": False,
-    "in_south_undefined": True,
-    "in_south_north": False,
-    "in_south_east": False,
-    "in_south_south": False,
-    "in_south_west": True,
-    "in_south_in": False,
-    "in_south_out": False,
-    "in_west_undefined": True,
-    "in_west_north": True,
-    "in_west_east": False,
-    "in_west_south": False,
-    "in_west_west": False,
-    "in_west_in": False,
-    "in_west_out": False,
-    "in_in_undefined": False,
-    "in_in_north": False,
-    "in_in_east": False,
-    "in_in_south": False,
-    "in_in_west": False,
-    "in_in_in": False,
-    "in_in_out": False,
-    "in_out_undefined": False,
-    "in_out_north": False,
-    "in_out_east": False,
-    "in_out_south": False,
-    "in_out_west": False,
-    "in_out_in": False,
-    "in_out_out": False,
-    "out_undefined_undefined": False,
-    "out_undefined_north": True,
-    "out_undefined_east": True,
-    "out_undefined_south": True,
-    "out_undefined_west": True,
-    "out_undefined_in": False,
-    "out_undefined_out": False,
-    "out_north_undefined": True,
-    "out_north_north": False,
-    "out_north_east": False,
-    "out_north_south": False,
-    "out_north_west": True,
-    "out_north_in": False,
-    "out_north_out": False,
-    "out_east_undefined": True,
-    "out_east_north": True,
-    "out_east_east": False,
-    "out_east_south": False,
-    "out_east_west": False,
-    "out_east_in": False,
-    "out_east_out": False,
-    "out_south_undefined": True,
-    "out_south_north": False,
-    "out_south_east": True,
-    "out_south_south": False,
-    "out_south_west": False,
-    "out_south_in": False,
-    "out_south_out": False,
-    "out_west_undefined": True,
-    "out_west_north": False,
-    "out_west_east": False,
-    "out_west_south": True,
-    "out_west_west": False,
-    "out_west_in": False,
-    "out_west_out": False,
-    "out_in_undefined": False,
-    "out_in_north": False,
-    "out_in_east": False,
-    "out_in_south": False,
-    "out_in_west": False,
-    "out_in_in": False,
-    "out_in_out": False,
-    "out_out_undefined": False,
-    "out_out_north": False,
-    "out_out_east": False,
-    "out_out_south": False,
-    "out_out_west": False,
-    "out_out_in": False,
-    "out_out_out": False,
-}
-
-is_cs_lh_unambiguous = {
-    "undefined_undefined_undefined": False,
-    "undefined_undefined_north": False,
-    "undefined_undefined_east": False,
-    "undefined_undefined_south": False,
-    "undefined_undefined_west": False,
-    "undefined_undefined_in": False,
-    "undefined_undefined_out": False,
-    "undefined_north_undefined": False,
-    "undefined_north_north": False,
-    "undefined_north_east": True,
-    "undefined_north_south": False,
-    "undefined_north_west": True,
-    "undefined_north_in": True,
-    "undefined_north_out": True,
-    "undefined_east_undefined": False,
-    "undefined_east_north": True,
-    "undefined_east_east": False,
-    "undefined_east_south": True,
-    "undefined_east_west": False,
-    "undefined_east_in": True,
-    "undefined_east_out": True,
-    "undefined_south_undefined": False,
-    "undefined_south_north": False,
-    "undefined_south_east": True,
-    "undefined_south_south": False,
-    "undefined_south_west": True,
-    "undefined_south_in": True,
-    "undefined_south_out": True,
-    "undefined_west_undefined": False,
-    "undefined_west_north": True,
-    "undefined_west_east": False,
-    "undefined_west_south": True,
-    "undefined_west_west": False,
-    "undefined_west_in": True,
-    "undefined_west_out": True,
-    "undefined_in_undefined": False,
-    "undefined_in_north": True,
-    "undefined_in_east": True,
-    "undefined_in_south": True,
-    "undefined_in_west": True,
-    "undefined_in_in": False,
-    "undefined_in_out": False,
-    "undefined_out_undefined": False,
-    "undefined_out_north": True,
-    "undefined_out_east": True,
-    "undefined_out_south": True,
-    "undefined_out_west": True,
-    "undefined_out_in": False,
-    "undefined_out_out": False,
-    "north_undefined_undefined": False,
-    "north_undefined_north": False,
-    "north_undefined_east": True,
-    "north_undefined_south": False,
-    "north_undefined_west": True,
-    "north_undefined_in": True,
-    "north_undefined_out": True,
-    "north_north_undefined": False,
-    "north_north_north": False,
-    "north_north_east": False,
-    "north_north_south": False,
-    "north_north_west": False,
-    "north_north_in": False,
-    "north_north_out": False,
-    "north_east_undefined": True,
-    "north_east_north": False,
-    "north_east_east": False,
-    "north_east_south": False,
-    "north_east_west": False,
-    "north_east_in": False,
-    "north_east_out": True,
-    "north_south_undefined": False,
-    "north_south_north": False,
-    "north_south_east": False,
-    "north_south_south": False,
-    "north_south_west": False,
-    "north_south_in": False,
-    "north_south_out": False,
-    "north_west_undefined": True,
-    "north_west_north": False,
-    "north_west_east": False,
-    "north_west_south": False,
-    "north_west_west": False,
-    "north_west_in": True,
-    "north_west_out": False,
-    "north_in_undefined": True,
-    "north_in_north": False,
-    "north_in_east": True,
-    "north_in_south": False,
-    "north_in_west": False,
-    "north_in_in": False,
-    "north_in_out": False,
-    "north_out_undefined": True,
-    "north_out_north": False,
-    "north_out_east": False,
-    "north_out_south": False,
-    "north_out_west": True,
-    "north_out_in": False,
-    "north_out_out": False,
-    "east_undefined_undefined": False,
-    "east_undefined_north": True,
-    "east_undefined_east": False,
-    "east_undefined_south": True,
-    "east_undefined_west": False,
-    "east_undefined_in": True,
-    "east_undefined_out": True,
-    "east_north_undefined": True,
-    "east_north_north": False,
-    "east_north_east": False,
-    "east_north_south": False,
-    "east_north_west": False,
-    "east_north_in": True,
-    "east_north_out": False,
-    "east_east_undefined": False,
-    "east_east_north": False,
-    "east_east_east": False,
-    "east_east_south": False,
-    "east_east_west": False,
-    "east_east_in": False,
-    "east_east_out": False,
-    "east_south_undefined": True,
-    "east_south_north": False,
-    "east_south_east": False,
-    "east_south_south": False,
-    "east_south_west": False,
-    "east_south_in": False,
-    "east_south_out": True,
-    "east_west_undefined": False,
-    "east_west_north": False,
-    "east_west_east": False,
-    "east_west_south": False,
-    "east_west_west": False,
-    "east_west_in": False,
-    "east_west_out": False,
-    "east_in_undefined": True,
-    "east_in_north": False,
-    "east_in_east": False,
-    "east_in_south": True,
-    "east_in_west": False,
-    "east_in_in": False,
-    "east_in_out": False,
-    "east_out_undefined": True,
-    "east_out_north": True,
-    "east_out_east": False,
-    "east_out_south": False,
-    "east_out_west": False,
-    "east_out_in": False,
-    "east_out_out": False,
-    "south_undefined_undefined": False,
-    "south_undefined_north": False,
-    "south_undefined_east": True,
-    "south_undefined_south": False,
-    "south_undefined_west": True,
-    "south_undefined_in": True,
-    "south_undefined_out": True,
-    "south_north_undefined": False,
-    "south_north_north": False,
-    "south_north_east": False,
-    "south_north_south": False,
-    "south_north_west": False,
-    "south_north_in": False,
-    "south_north_out": False,
-    "south_east_undefined": True,
-    "south_east_north": False,
-    "south_east_east": False,
-    "south_east_south": False,
-    "south_east_west": False,
-    "south_east_in": True,
-    "south_east_out": False,
-    "south_south_undefined": False,
-    "south_south_north": False,
-    "south_south_east": False,
-    "south_south_south": False,
-    "south_south_west": False,
-    "south_south_in": False,
-    "south_south_out": False,
-    "south_west_undefined": True,
-    "south_west_north": False,
-    "south_west_east": False,
-    "south_west_south": False,
-    "south_west_west": False,
-    "south_west_in": False,
-    "south_west_out": True,
-    "south_in_undefined": True,
-    "south_in_north": False,
-    "south_in_east": False,
-    "south_in_south": False,
-    "south_in_west": True,
-    "south_in_in": False,
-    "south_in_out": False,
-    "south_out_undefined": True,
-    "south_out_north": False,
-    "south_out_east": True,
-    "south_out_south": False,
-    "south_out_west": False,
-    "south_out_in": False,
-    "south_out_out": False,
-    "west_undefined_undefined": False,
-    "west_undefined_north": True,
-    "west_undefined_east": False,
-    "west_undefined_south": True,
-    "west_undefined_west": False,
-    "west_undefined_in": True,
-    "west_undefined_out": True,
-    "west_north_undefined": True,
-    "west_north_north": False,
-    "west_north_east": False,
-    "west_north_south": False,
-    "west_north_west": False,
-    "west_north_in": False,
-    "west_north_out": True,
-    "west_east_undefined": False,
-    "west_east_north": False,
-    "west_east_east": False,
-    "west_east_south": False,
-    "west_east_west": False,
-    "west_east_in": False,
-    "west_east_out": False,
-    "west_south_undefined": True,
-    "west_south_north": False,
-    "west_south_east": False,
-    "west_south_south": False,
-    "west_south_west": False,
-    "west_south_in": True,
-    "west_south_out": False,
-    "west_west_undefined": False,
-    "west_west_north": False,
-    "west_west_east": False,
-    "west_west_south": False,
-    "west_west_west": False,
-    "west_west_in": False,
-    "west_west_out": False,
-    "west_in_undefined": True,
-    "west_in_north": True,
-    "west_in_east": False,
-    "west_in_south": False,
-    "west_in_west": False,
-    "west_in_in": False,
-    "west_in_out": False,
-    "west_out_undefined": True,
-    "west_out_north": False,
-    "west_out_east": False,
-    "west_out_south": True,
-    "west_out_west": False,
-    "west_out_in": False,
-    "west_out_out": False,
-    "in_undefined_undefined": False,
-    "in_undefined_north": True,
-    "in_undefined_east": True,
-    "in_undefined_south": True,
-    "in_undefined_west": True,
-    "in_undefined_in": False,
-    "in_undefined_out": False,
-    "in_north_undefined": True,
-    "in_north_north": False,
-    "in_north_east": False,
-    "in_north_south": False,
-    "in_north_west": True,
-    "in_north_in": False,
-    "in_north_out": False,
-    "in_east_undefined": True,
-    "in_east_north": True,
-    "in_east_east": False,
-    "in_east_south": False,
-    "in_east_west": False,
-    "in_east_in": False,
-    "in_east_out": False,
-    "in_south_undefined": True,
-    "in_south_north": False,
-    "in_south_east": True,
-    "in_south_south": False,
-    "in_south_west": False,
-    "in_south_in": False,
-    "in_south_out": False,
-    "in_west_undefined": True,
-    "in_west_north": False,
-    "in_west_east": False,
-    "in_west_south": True,
-    "in_west_west": False,
-    "in_west_in": False,
-    "in_west_out": False,
-    "in_in_undefined": False,
-    "in_in_north": False,
-    "in_in_east": False,
-    "in_in_south": False,
-    "in_in_west": False,
-    "in_in_in": False,
-    "in_in_out": False,
-    "in_out_undefined": False,
-    "in_out_north": False,
-    "in_out_east": False,
-    "in_out_south": False,
-    "in_out_west": False,
-    "in_out_in": False,
-    "in_out_out": False,
-    "out_undefined_undefined": False,
-    "out_undefined_north": True,
-    "out_undefined_east": True,
-    "out_undefined_south": True,
-    "out_undefined_west": True,
-    "out_undefined_in": False,
-    "out_undefined_out": False,
-    "out_north_undefined": True,
-    "out_north_north": False,
-    "out_north_east": True,
-    "out_north_south": False,
-    "out_north_west": False,
-    "out_north_in": False,
-    "out_north_out": False,
-    "out_east_undefined": True,
-    "out_east_north": False,
-    "out_east_east": False,
-    "out_east_south": True,
-    "out_east_west": False,
-    "out_east_in": False,
-    "out_east_out": False,
-    "out_south_undefined": True,
-    "out_south_north": False,
-    "out_south_east": False,
-    "out_south_south": False,
-    "out_south_west": True,
-    "out_south_in": False,
-    "out_south_out": False,
-    "out_west_undefined": True,
-    "out_west_north": True,
-    "out_west_east": False,
-    "out_west_south": False,
-    "out_west_west": False,
-    "out_west_in": False,
-    "out_west_out": False,
-    "out_in_undefined": False,
-    "out_in_north": False,
-    "out_in_east": False,
-    "out_in_south": False,
-    "out_in_west": False,
-    "out_in_in": False,
-    "out_in_out": False,
-    "out_out_undefined": False,
-    "out_out_north": False,
-    "out_out_east": False,
-    "out_out_south": False,
-    "out_out_west": False,
-    "out_out_in": False,
-    "out_out_out": False,
-}
-
-
-def is_cs_well_defined(handedness, directions):
-    """Check if the axis directions yield an unambiguous definition right handed"""
-    keyword = f"{directions[0]}_{directions[1]}_{directions[2]}"
-    if handedness == "right_handed_cartesian":
-        if keyword in is_cs_rh_unambiguous:
-            if is_cs_rh_unambiguous[keyword] is True:
-                return True
-    if handedness == "left_handed_cartesian":
-        if keyword in is_cs_lh_unambiguous:
-            if is_cs_lh_unambiguous[keyword] is True:
-                return True
-    return False
diff --git a/pynxtools/dataconverter/readers/em_om/utils/image_transform.py b/pynxtools/dataconverter/readers/em_om/utils/image_transform.py
deleted file mode 100644
index 1cd077e95..000000000
--- a/pynxtools/dataconverter/readers/em_om/utils/image_transform.py
+++ /dev/null
@@ -1,51 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Resize images so that they display properly in H5Web."""
-
-# pylint: disable=no-member
-
-# f"https://stackoverflow.com/questions/4321290/"
-# f" how-do-i-make-pil-take-into-account-the-shortest-side-when-creating-a-thumbnail"
-
-import numpy as np
-
-
-def thumbnail(img, size=300):
-    """Create a thumbnail, i.e. resized version of an image."""
-    img = img.copy()
-
-    if img.mode not in ("L", "RGB"):
-        img = img.convert("RGB")
-
-    old_width, old_height = img.size
-
-    if old_width < size and old_height < size:
-        return img
-
-    if old_width == old_height:
-        img.thumbnail((size, size))
-    elif old_height > old_width:
-        ratio = float(old_width) / float(old_height)
-        new_width = ratio * size
-        img = img.resize((int(np.floor(new_width)), size))
-    elif old_width > old_height:
-        ratio = float(old_height) / float(old_width)
-        new_height = ratio * size
-        img = img.resize((size, int(np.floor(new_height))))
-
-    return img
diff --git a/pynxtools/dataconverter/readers/em_om/utils/msmse_convention.py b/pynxtools/dataconverter/readers/em_om/utils/msmse_convention.py
deleted file mode 100644
index 1748ad4cb..000000000
--- a/pynxtools/dataconverter/readers/em_om/utils/msmse_convention.py
+++ /dev/null
@@ -1,49 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Conventions suggested by D. Rowenhorst et al. in DOI: 10.1088/0965-0393/23/8/083501."""
-
-# pylint: disable=no-member,duplicate-code
-
-msmse_convention = {
-    "three_dimensional_rotation_handedness": "counter_clockwise",
-    "rotation_convention": "passive",
-    "euler_angle_convention": "zxz",
-    "axis_angle_convention": "rotation_angle_on_interval_zero_to_pi",
-}
-# the sign convention is mentioned in the paper but left as a parameter
-# "sign_convention": "p_minus_one"
-
-
-def is_consistent_with_msmse_convention(dct):
-    """Checks if a set of conventions is consistent with that paper (see above)."""
-    # triple boolean, yes, no, unclear
-    req_fields = [
-        "three_dimensional_rotation_handedness",
-        "rotation_convention",
-        "euler_angle_convention",
-        "axis_angle_convention",
-    ]
-    for field_name in req_fields:
-        if (field_name not in dct) or (field_name not in msmse_convention):
-            return "unclear"
-    # okay, so either matching or not
-    for field_name in req_fields:
-        if dct[field_name] == msmse_convention[field_name]:
-            continue
-        return "inconsistent"
-    return "consistent"
diff --git a/pynxtools/dataconverter/readers/em_om/utils/mtex_ebsd_parser.py b/pynxtools/dataconverter/readers/em_om/utils/mtex_ebsd_parser.py
deleted file mode 100644
index b45cb4554..000000000
--- a/pynxtools/dataconverter/readers/em_om/utils/mtex_ebsd_parser.py
+++ /dev/null
@@ -1,320 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Parse intermediate HDF5 files from MTex @EBSD classes and FAIRmat mtex2nexus script."""
-
-# pylint: disable=no-member
-
-import numpy as np
-
-import h5py
-
-
-class NxEmOmMtexEbsdParser:
-    """Parse *.mtex EBSD data."""
-
-    def __init__(self, file_name: str, entry_id: int):
-        """Class wrapping reading HDF5 files formatted according NXem_ebsd from MTex."""
-        self.file_name = file_name
-        self.entry_id = entry_id
-
-    def parse_roi_default_plot(self, template: dict) -> dict:
-        """Parse data for the region-of-interest default plot."""
-        print("Parse ROI default plot...")
-        h5r = h5py.File(self.file_name, "r")
-        # by construction from MTex entry always named entry1
-
-        src = "/entry1/indexing/region_of_interest"
-        trg = f"/ENTRY[entry{self.entry_id}]/experiment/indexing/region_of_interest"
-        template[f"{trg}/descriptor"] = str(
-            h5r[f"{src}/descriptor"][()].decode("utf-8")
-        )
-
-        src = "/entry1/indexing/region_of_interest/roi"
-        trg = f"/ENTRY[entry{self.entry_id}]/experiment/indexing/region_of_interest/roi"
-        if src not in h5r.keys():
-            # must not happen, grp is required
-            # print(f"WARNING {src} not found !")
-            return template
-        grp = h5r[src]
-        # MTex HDF5 file uses formatting from matching that of NXem_ebsd
-        template[f"{trg}/title"] = str("Region-of-interest overview image")
-        template[f"{trg}/@signal"] = grp.attrs["signal"]
-        template[f"{trg}/@axes"] = grp.attrs["axes"]
-        template[f"{trg}/@AXISNAME_indices[axis_x_indices]"] = grp.attrs[
-            "axis_x_indices"
-        ]
-        template[f"{trg}/@AXISNAME_indices[axis_y_indices]"] = grp.attrs[
-            "axis_y_indices"
-        ]
-
-        src = "/entry1/indexing/region_of_interest/roi/data"
-        trg = (
-            f"/ENTRY[entry{self.entry_id}]/experiment/indexing"
-            f"/region_of_interest/roi/data"
-        )
-        if src not in h5r.keys():
-            # must not happen, dst is required
-            print(f"{src} not found !")
-            return template
-        dst = h5r[src]
-        template[f"{trg}"] = {"compress": dst[:, :], "strength": 1}
-        template[f"{trg}/@long_name"] = dst.attrs["long_name"]
-        template[f"{trg}/@CLASS"] = "IMAGE"  # required by H5Web to plot RGB maps
-        template[f"{trg}/@IMAGE_VERSION"] = "1.2"
-        template[f"{trg}/@SUBCLASS_VERSION"] = np.int64(15)
-
-        axes_names = ["axis_x", "axis_y"]
-        for axis_name in axes_names:
-            src = f"/entry1/indexing/region_of_interest/roi/{axis_name}"
-            trg = (
-                f"/ENTRY[entry{self.entry_id}]/experiment/indexing/"
-                f"region_of_interest/roi/{axis_name}"
-            )
-            if src not in h5r.keys():
-                # must not happen, dst is required
-                # print(f"{src} not found !")
-                return template
-            dst = h5r[src]
-            template[f"{trg}"] = {"compress": dst[:], "strength": 1}
-            template[f"{trg}/@long_name"] = dst.attrs["long_name"]
-            template[f"{trg}/@units"] = dst.attrs["units"]
-
-        h5r.close()
-        return template
-
-    def parse_phases(self, template: dict) -> dict:
-        """Parse data for the crystal structure models aka phases."""
-        print("Parse crystal_structure_models aka phases...")
-        h5r = h5py.File(self.file_name, "r")
-
-        src = "/entry1/indexing"
-        # mtex2nexus MTex/Matlab scripts writes controlled terms phaseID
-        group_names = [entry for entry in h5r[src].keys() if entry.startswith("phase")]
-        if len(group_names) == 0:
-            return template
-        # group_names end up sorted in ascending order
-        identifier = 1
-        for group_name in group_names:
-            if f"phase{identifier}" != group_name:
-                # must not happen, verifier will complain
-                return template
-            src = f"/entry1/indexing/{group_name}"
-            trg = (
-                f"/ENTRY[entry{self.entry_id}]/experiment/indexing/"
-                f"EM_EBSD_CRYSTAL_STRUCTURE_MODEL"
-                f"[em_ebsd_crystal_structure_model{identifier}]"
-            )
-            template[f"{trg}/phase_identifier"] = h5r[f"{src}/phase_identifier"][0]
-            template[f"{trg}/phase_name"] = str(
-                h5r[f"{src}/phase_name"][()].decode("utf-8")
-            )
-            template[f"{trg}/point_group"] = str(
-                h5r[f"{src}/point_group"][()].decode("utf-8")
-            )
-            dst = h5r[f"{src}/unit_cell_abc"]
-            template[f"{trg}/unit_cell_abc"] = dst[:]
-            template[f"{trg}/unit_cell_abc/@units"] = dst.attrs["units"]
-            dst = h5r[f"{src}/unit_cell_alphabetagamma"]
-            template[f"{trg}/unit_cell_alphabetagamma"] = dst[:]
-            template[f"{trg}/unit_cell_alphabetagamma/@units"] = dst.attrs["units"]
-            identifier += 1
-        h5r.close()
-        return template
-
-    def parse_inverse_pole_figures(self, template: dict) -> dict:
-        """Parse inverse pole figures (IPF) mappings."""
-        print("Parse inverse pole figures (IPFs)...")
-        h5r = h5py.File(self.file_name, "r")
-
-        src = "/entry1/indexing"
-        # mtex2nexus MTex/Matlab scripts writes controlled terms phaseID
-        group_names = [
-            entry for entry in h5r[src].keys() if entry.startswith("ipf_map")
-        ]
-        if len(group_names) == 0:
-            return template
-        # group_names end up sorted in ascending order
-        identifier = 1
-        for group_name in group_names:
-            if f"ipf_map{identifier}" != group_name:
-                # must not happen, verifier will complain that we use incorrect names
-                # print(f"WARNING: {group_name} not found !")
-                return template
-
-            self.parse_inverse_pole_figure_map(h5r, identifier, template)
-            self.parse_inverse_pole_figure_color_key(h5r, identifier, template)
-
-            identifier += 1
-
-        h5r.close()
-        return template
-
-    def parse_inverse_pole_figure_map(self, h5r, identifier, template: dict) -> dict:
-        """Parse inverse-pole-figure (IPF) mappings on their color models."""
-        group_name = f"ipf_map{identifier}"
-        print(f"Parse inverse pole figure (IPF) map for {group_name}...")
-        src = f"/entry1/indexing/{group_name}"
-        trg = (
-            f"/ENTRY[entry{self.entry_id}]/experiment/indexing"
-            f"/PROCESS[ipf_map{identifier}]"
-        )
-        if src not in h5r.keys():
-            # print(f"WARNING: {group_name} not found !")
-            return template
-        template[f"{trg}/bitdepth"] = np.uint32(8)  # h5r[f"{src}/bitdepth"][0]
-        template[f"{trg}/phase_identifier"] = np.uint32(
-            h5r[f"{src}/phase_identifier"][0]
-        )
-        template[f"{trg}/phase_name"] = str(
-            h5r[f"{src}/phase_name"][()].decode("utf-8")
-        )
-        dst = h5r[f"{src}/program"]
-        template[f"{trg}/PROGRAM[program1]/program"] = str(dst[()].decode("utf-8"))
-        template[f"{trg}/PROGRAM[program1]/program/@version"] = dst.attrs["version"]
-        template[f"{trg}/projection_direction"] = np.asarray(
-            [0.0, 0.0, 1.0], np.float32
-        )
-        # there should be a depends on etc
-
-        src = f"/entry1/indexing/{group_name}/ipf_rgb_map"
-        trg = (
-            f"/ENTRY[entry{self.entry_id}]/experiment/indexing/"
-            f"PROCESS[ipf_map{identifier}]/ipf_rgb_map"
-        )
-        if src not in h5r.keys():
-            # must not happen, grp is required
-            # print(f"WARNING: {group_name} not found, ipf_rgb_map !")
-            return template
-        grp = h5r[src]
-        # MTex HDF5 file uses formatting from matching that of NXem_ebsd
-        template[f"{trg}/title"] = str("Inverse pole figure color map")
-        template[f"{trg}/@signal"] = grp.attrs["signal"]
-        template[f"{trg}/@axes"] = grp.attrs["axes"]
-        template[f"{trg}/@AXISNAME_indices[axis_x_indices]"] = grp.attrs[
-            "axis_x_indices"
-        ]
-        template[f"{trg}/@AXISNAME_indices[axis_y_indices]"] = grp.attrs[
-            "axis_y_indices"
-        ]
-
-        src = f"/entry1/indexing/{group_name}/ipf_rgb_map/data"
-        trg = (
-            f"/ENTRY[entry{self.entry_id}]/experiment/indexing/"
-            f"PROCESS[ipf_map{identifier}]/ipf_rgb_map/DATA[data]"
-        )
-        if src not in h5r.keys():
-            # must not happen, dst is required
-            # print(f"WARNING: {group_name} not found, ipf_rgb_map, data !")
-            return template
-        dst = h5r[src]
-        template[f"{trg}"] = {"compress": dst[:, :], "strength": 1}
-        template[f"{trg}/@long_name"] = dst.attrs["long_name"]
-        template[f"{trg}/@CLASS"] = "IMAGE"  # required by H5Web to plot RGB maps
-        template[f"{trg}/@IMAGE_VERSION"] = "1.2"
-        template[f"{trg}/@SUBCLASS_VERSION"] = np.int64(15)
-
-        axes_names = ["axis_x", "axis_y"]
-        for axis_name in axes_names:
-            src = f"/entry1/indexing/{group_name}/ipf_rgb_map/{axis_name}"
-            trg = (
-                f"/ENTRY[entry{self.entry_id}]/experiment/indexing"
-                f"/PROCESS[ipf_map{identifier}]/ipf_rgb_map/AXISNAME[{axis_name}]"
-            )
-            if src not in h5r.keys():
-                # must not happen, dst is required
-                # print(f"WARNING: {group_name} not found, ipf_rgb_map, {axis_name} !")
-                return template
-            dst = h5r[src]
-            template[f"{trg}"] = {"compress": dst[:], "strength": 1}
-            template[f"{trg}/@long_name"] = dst.attrs["long_name"]
-            template[f"{trg}/@units"] = dst.attrs["units"]
-
-        return template
-
-    def parse_inverse_pole_figure_color_key(
-        self, h5r, identifier, template: dict
-    ) -> dict:
-        """Parse color key renderings of inverse-pole-figure (IPF) mappings."""
-        group_name = f"ipf_map{identifier}"
-        print(f"Parse inverse pole figure (IPF) color key {group_name}...")
-        src = f"/entry1/indexing/{group_name}/ipf_rgb_color_model"
-        trg = (
-            f"/ENTRY[entry{self.entry_id}]/experiment/indexing"
-            f"/PROCESS[ipf_map{identifier}]/ipf_rgb_color_model"
-        )
-        if src not in h5r.keys():
-            # must not happen, grp is required
-            # print(f"WARNING: {group_name} not found, ipf_rgb_color_model")
-            return template
-        grp = h5r[src]
-        template[f"{trg}/title"] = str("Inverse pole figure color key with SST")
-        template[f"{trg}/@signal"] = grp.attrs["signal"]
-        template[f"{trg}/@axes"] = grp.attrs["axes"]
-        template[f"{trg}/@AXISNAME_indices[axis_x_indices]"] = grp.attrs[
-            "axis_x_indices"
-        ]
-        template[f"{trg}/@AXISNAME_indices[axis_y_indices]"] = grp.attrs[
-            "axis_y_indices"
-        ]
-
-        src = f"/entry1/indexing/{group_name}/ipf_rgb_color_model/data"
-        trg = (
-            f"/ENTRY[entry{self.entry_id}]/experiment/indexing"
-            f"/PROCESS[ipf_map{identifier}]/ipf_rgb_color_model/DATA[data]"
-        )
-        if src not in h5r.keys():
-            # must not happen, dst is required
-            # print(f"WARNING: {group_name} not found, ipf_rgb_color_model, data")
-            return template
-        dst = h5r[src]
-        template[f"{trg}"] = {"compress": dst[:, :], "strength": 1}
-        template[f"{trg}/@long_name"] = dst.attrs["long_name"]
-        template[f"{trg}/@CLASS"] = "IMAGE"
-        template[f"{trg}/@IMAGE_VERSION"] = "1.2"
-        template[f"{trg}/@SUBCLASS_VERSION"] = np.int64(15)
-
-        axes_names = ["axis_x", "axis_y"]
-        for axis_name in axes_names:
-            src = f"/entry1/indexing/{group_name}/ipf_rgb_color_model/{axis_name}"
-            trg = (
-                f"/ENTRY[entry{self.entry_id}]/experiment/indexing"
-                f"/PROCESS[ipf_map{identifier}]/ipf_rgb_color_model"
-                f"/AXISNAME[{axis_name}]"
-            )
-            if src not in h5r.keys():
-                # must not happen, dst is required
-                # print(f"WARNING: {group_name} not found,
-                # ipf_rgb_color_model, {axis_name}")
-                return template
-            dst = h5r[src]
-            template[f"{trg}"] = {"compress": dst[:], "strength": 1}
-            template[f"{trg}/@long_name"] = dst.attrs["long_name"]
-            template[f"{trg}/@units"] = str("px")
-
-        return template
-
-    def parse(self, template: dict) -> dict:
-        """Parse metadata and numerical data."""
-        print("Parsing MTex EBSD data...")
-        print(f"{self.file_name}")
-        print(f"{self.entry_id}")
-        # extract data from intermediate HDF5 file and transfer these to the template
-        self.parse_roi_default_plot(template)
-        self.parse_phases(template)
-        self.parse_inverse_pole_figures(template)
-        return template
diff --git a/pynxtools/dataconverter/readers/em_om/utils/orix_ebsd_parser.py b/pynxtools/dataconverter/readers/em_om/utils/orix_ebsd_parser.py
deleted file mode 100644
index 85c66f7ba..000000000
--- a/pynxtools/dataconverter/readers/em_om/utils/orix_ebsd_parser.py
+++ /dev/null
@@ -1,565 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Parse H5OINA and create IPF color map default plots using the pyxem/orix library."""
-
-# pylint: disable=no-member,duplicate-code,unsubscriptable-object,comparison-with-callable
-
-# https://orix.readthedocs.io/en/stable/tutorials/inverse_pole_figures.html
-
-# type: ignore
-
-import os
-
-from typing import Dict, Any, List
-
-import matplotlib.pyplot as plt
-
-import numpy as np
-
-import h5py
-
-# import imageio.v3 as iio
-from PIL import Image as pil
-
-import diffsims
-import orix
-from diffpy.structure import Lattice, Structure
-from orix import plot
-from orix.crystal_map import create_coordinate_arrays, CrystalMap, PhaseList
-from orix.quaternion import Rotation
-from orix.vector import Vector3d
-
-from pynxtools.dataconverter.readers.em_om.utils.image_transform import thumbnail
-
-from pynxtools.dataconverter.readers.em_om.utils.em_nexus_plots import (
-    HFIVE_WEB_MAX_SIZE,
-)
-
-orix_params = {
-    "figure.facecolor": "w",
-    "figure.figsize": (8, 8),
-    "lines.markersize": 10,
-    "font.size": 15,
-    "axes.grid": True,
-}  # 20, 7),
-plt.rcParams.update(orix_params)
-
-# https://orix.readthedocs.io/ for details about the orix lib
-# https://www.diffpy.org/diffpy.structure/package.html for details about the diffpy lib
-
-
-class NxEmOmOrixEbsdParser:
-    """Parse *.h5oina EBSD data."""
-
-    def __init__(self, file_name, entry_id):
-        """Class wrapping pyxem/orix H5OINA parser."""
-        # this is one example which should be extended to kikuchipy but this should
-        # be done together with Hakon and Knut Marthinsen's team or the pyxem developers
-        # the reason why I went for a standalone parser was that kikuchipy v0.7.0 which
-        # I had available when implementing this example was that *.h5oina files
-        # were forced to have Kikuchi pattern in them. However, in *.h5oina the patterns
-        # are optional and this was also the situation for the example file
-        # which the EBSD system technology partner Oxford Instrument provided to me
-        self.file_names = file_name
-        self.entry_id = entry_id
-        self.oina_version_identifier = "5.0"
-        self.xaxis: List[float] = []
-        self.yaxis: List[float] = []
-        self.xmap = CrystalMap
-        self.oina: Dict[str, Any] = {
-            "n_slices": 1,
-            "rotation": Rotation,
-            "scan_point_x": [],
-            "scan_point_y": [],
-            "phase_identifier": [],
-            "band_contrast": [],
-            "scan_size": [0, 0],
-            "scan_step": [0.0, 0.0],
-            "scan_unit": ["n/a", "n/a"],
-            "phase": [],
-            "space_group": [],
-        }
-        # y (aka height), x (aka width) !
-
-    def parse_h5oina(self, slice_id):
-        """Parse content from *.h5oina format."""
-        # https://github.com/oinanoanalysis/h5oina/blob/master/H5OINAFile.md
-        # here implementing version 5.0
-        # in this implementation we load all data in main memory, for stream processing
-        # when the data are really large one would rather load the data array metadata
-        # dtype, size, shape and use lazy loading instead or successive loading
-        # file_names is file name
-        h5r = h5py.File(self.file_names, "r")
-        self.oina_version_identifier = h5r["/Format Version"][0].decode("utf-8")
-        self.oina["n_slices"] = h5r["/Index"][0]
-        print(
-            f"H5OINA v{self.oina_version_identifier} has {self.oina['n_slices']} slices"
-        )
-        if self.oina_version_identifier != "5.0" or self.oina["n_slices"] != 1:
-            print("This examples supports H5OINA only in version 5.0 with one slice!")
-            return
-
-        self.parse_h5oina_ebsd_data(h5r, slice_id)
-        self.parse_h5oina_ebsd_header(h5r, slice_id)
-
-        group_names = []
-        group_name = f"/{slice_id}/EBSD/Header/Phases"
-        if group_name in h5r:
-            group_names = sorted(list(h5r[group_name].keys()), key=int)
-        for name in group_names:
-            self.parse_h5oina_phase(h5r, slice_id, name)
-
-        h5r.close()
-        self.generate_xmap()
-
-    def parse_h5oina_ebsd_data(self, h5r, slice_id):
-        """Parse EBSD data section for specific slice."""
-        group_name = f"/{slice_id}/EBSD/Data"
-        # required entries in v5.0
-        dset_name = f"{group_name}/Euler"
-        if dset_name in h5r:
-            self.oina["rotation"] = Rotation.from_euler(
-                euler=h5r[dset_name], direction="lab2crystal", degrees=False
-            )  # rad in v5.0
-        dset_name = f"{group_name}/Phase"
-        if dset_name in h5r:
-            self.oina["phase_identifier"] = np.asarray(h5r[dset_name], np.int32)
-
-        # optional entries in v5.0
-        dset_name = f"{group_name}/X"  # v5.0, top-left-corner µm
-        if dset_name in h5r:
-            self.oina["scan_point_x"] = np.asarray(h5r[dset_name], np.float32)
-        dset_name = f"{group_name}/Y"  # v5.0, top-left-corner µm
-        if dset_name in h5r:
-            self.oina["scan_point_y"] = np.asarray(h5r[dset_name], np.float32)
-        dset_name = f"{group_name}/Band Contrast"
-        if (
-            dset_name in h5r
-        ):  # is not required but should how else to create a ROI image
-            self.oina["band_contrast"] = np.asarray(h5r[dset_name], np.uint8)
-
-    def parse_h5oina_ebsd_header(self, h5r, slice_id):
-        """Parse EBSD header section for specific slice."""
-        group_name = f"/{slice_id}/EBSD/Header"
-        dset_name = f"{group_name}/Y Cells"  # v5.0 height of the map
-        if dset_name in h5r:
-            self.oina["scan_size"][0] = h5r[dset_name][0]
-        dset_name = f"{group_name}/X Cells"  # v5.0 width of the map
-        if dset_name in h5r:
-            self.oina["scan_size"][1] = h5r[dset_name][0]
-        dset_name = f"{group_name}/Y Step"  # v5.0, µm
-        if dset_name in h5r:
-            dst_y = h5r[dset_name]
-            self.oina["scan_step"][0] = dst_y[0]
-            if "Unit" in dst_y.attrs:
-                self.oina["scan_unit"][0] = dst_y.attrs["Unit"]
-        dset_name = f"{group_name}/X Step"  # v5.0, µm
-        if dset_name in h5r:
-            dst_x = h5r[dset_name]
-            self.oina["scan_step"][1] = dst_x[0]
-            if "Unit" in dst_x.attrs:
-                self.oina["scan_unit"][1] = dst_x.attrs["Unit"]
-        # ##MK:: check that all data in the self.oina are consistent
-
-    def parse_h5oina_phase(self, h5r, slice_id, name):
-        """Parse one phase."""
-        print(f"Loading phase {name}...")
-        # required in v5.0
-        sub_group_name = f"/{slice_id}/EBSD/Header/Phases/{name}"
-        dset_name = f"{sub_group_name}/Phase Name"
-        if dset_name in h5r:
-            phase_name = h5r[dset_name][0].decode("utf-8")
-        # "Reference", but even examples from Oxford place no DOIs here
-        dset_name = f"{sub_group_name}/Lattice Angles"
-        if dset_name in h5r:
-            alpha_beta_gamma = np.asarray(h5r[dset_name][:].flatten()) / np.pi * 180.0
-            # rad2deg
-        dset_name = f"{sub_group_name}/Lattice Dimensions"
-        if dset_name in h5r:
-            a_b_c = np.asarray(h5r[dset_name][:].flatten()) * 0.1
-            # angstroem2nm
-
-        # optional in v5.0
-        # many inconsistencies and metadata cluttering by design across
-        # tools of the community and of technology partners:
-        # e.g. MTex uses point group required, Oxford uses space group but
-        # optional, neither of them store atom positions and
-        # computed intensities because for this there are other files...
-        dset_name = f"{sub_group_name}/Space Group"
-        if dset_name in h5r:
-            space_group = int(h5r[dset_name][0])
-            self.oina["space_group"].append(space_group)
-
-        self.oina["phase"].append(
-            Structure(
-                title=phase_name,
-                atoms=None,
-                lattice=Lattice(
-                    a_b_c[0],
-                    a_b_c[1],
-                    a_b_c[2],
-                    alpha_beta_gamma[0],
-                    alpha_beta_gamma[1],
-                    alpha_beta_gamma[2],
-                ),
-            )
-        )
-
-    def generate_xmap(self):
-        """Generate the orientation map and orix/diffsims data structures."""
-        coordinates, _ = create_coordinate_arrays(
-            (self.oina["scan_size"][0], self.oina["scan_size"][1]),
-            (self.oina["scan_step"][0], self.oina["scan_step"][1]),
-        )
-        self.xaxis = coordinates["x"]
-        self.yaxis = coordinates["y"]
-        del coordinates
-
-        # orix expects non-indexed scan points to have phase_id -1
-        # while H5OINA v5.0 specifies that such points have phase ID 0
-        # H5OINA v5.0 specifies further one subgroup per phase
-        # phase_identifier starting at 1, as non-indexed points do not belong to a phase
-        self.oina["phase_identifier"] = self.oina["phase_identifier"] - 1
-        print(np.unique(self.oina["phase_identifier"]))
-
-        self.xmap = CrystalMap(
-            rotations=self.oina["rotation"],
-            x=self.xaxis,
-            y=self.yaxis,
-            phase_id=self.oina["phase_identifier"],
-            phase_list=PhaseList(
-                space_groups=self.oina["space_group"], structures=self.oina["phase"]
-            ),
-            prop={"bc": self.oina["band_contrast"]},
-            scan_unit=self.oina["scan_unit"],
-        )
-        print(self.xmap)
-
-    def parse_roi_default_plot(self, template: dict) -> dict:
-        """Parse data for the region-of-interest default plot."""
-        print("Parse ROI default plot...")
-        trg = f"/ENTRY[entry{self.entry_id}]/experiment/indexing/region_of_interest"
-        template[f"{trg}/descriptor"] = str("normalized_band_contrast")
-        # ##MK:: need a better strategy here because the descriptor
-        # band contrast is not a required field in v5.0,
-        # thus it should not be hardcoded and assumed that it is present
-        # but there is also no other field in v5.0 that could stand in as a descriptor
-
-        trg = f"/ENTRY[entry{self.entry_id}]/experiment/indexing/region_of_interest/roi"
-        template[f"{trg}/title"] = str("Region-of-interest overview image")
-        template[f"{trg}/@signal"] = "data"
-        template[f"{trg}/@axes"] = ["axis_y", "axis_x"]
-        template[f"{trg}/@AXISNAME_indices[axis_x_indices]"] = np.uint32(0)
-        template[f"{trg}/@AXISNAME_indices[axis_y_indices]"] = np.uint32(1)
-
-        trg = (
-            f"/ENTRY[entry{self.entry_id}]/experiment/indexing"
-            f"/region_of_interest/roi/data"
-        )
-        template[f"{trg}"] = {
-            "compress": np.reshape(
-                np.asarray(
-                    np.asarray(
-                        (self.xmap.bc / np.max(self.xmap.bc) * 255.0), np.uint32
-                    ),
-                    np.uint8,
-                ),
-                (self.xmap.shape[0], self.xmap.shape[1]),
-                order="C",
-            ),
-            "strength": 1,
-        }
-        # 0 is y while 1 is x !
-        template[f"{trg}/@long_name"] = "Signal"
-        template[f"{trg}/@CLASS"] = "IMAGE"  # required by H5Web to plot RGB maps
-        template[f"{trg}/@IMAGE_VERSION"] = "1.2"
-        template[f"{trg}/@SUBCLASS_VERSION"] = np.int64(15)
-
-        trg = (
-            f"/ENTRY[entry{self.entry_id}]/experiment/indexing"
-            f"/region_of_interest/roi/axis_x"
-        )
-        template[f"{trg}"] = {
-            "compress": np.asarray(
-                0.5 * self.oina["scan_step"][1] + self.xaxis[0 : self.xmap.shape[1]],
-                np.float32,
-            ),
-            "strength": 1,
-        }
-        template[
-            f"{trg}/@long_name"
-        ] = f"Calibrated coordinate along x-axis ({self.oina['scan_unit'][1]})"
-        template[f"{trg}/@units"] = self.oina["scan_unit"][1]
-
-        trg = (
-            f"/ENTRY[entry{self.entry_id}]/experiment/indexing"
-            f"/region_of_interest/roi/axis_y"
-        )
-        template[f"{trg}"] = {
-            "compress": np.asarray(
-                0.5 * self.oina["scan_step"][0]
-                + self.yaxis[0 : self.xmap.size : self.xmap.shape[1]],
-                np.float32,
-            ),
-            "strength": 1,
-        }
-        template[
-            f"{trg}/@long_name"
-        ] = f"Calibrated coordinate along y-axis ({self.oina['scan_unit'][0]})"
-        template[f"{trg}/@units"] = self.oina["scan_unit"][0]
-        return template
-
-    def parse_phases(self, template: dict) -> dict:
-        """Parse data for the crystal structure models aka phases."""
-        print("Parse crystal_structure_models aka phases...")
-        identifier = 1
-        # identifier match because phase is a list asc. sorted by numerical keys
-        for phase in self.oina["phase"]:
-            trg = (
-                f"/ENTRY[entry{self.entry_id}]/experiment/indexing/"
-                f"EM_EBSD_CRYSTAL_STRUCTURE_MODEL"
-                f"[em_ebsd_crystal_structure_model{identifier}]"
-            )
-            template[f"{trg}/phase_identifier"] = np.uint32(identifier)
-            template[f"{trg}/phase_name"] = str(phase.title)
-            template[f"{trg}/unit_cell_abc"] = np.asarray(
-                [phase.lattice.a, phase.lattice.b, phase.lattice.c], np.float32
-            )
-            template[f"{trg}/unit_cell_abc/@units"] = "nm"
-            template[f"{trg}/unit_cell_alphabetagamma"] = np.asarray(
-                [phase.lattice.alpha, phase.lattice.beta, phase.lattice.gamma],
-                np.float32,
-            )
-            template[f"{trg}/unit_cell_alphabetagamma/@units"] = "°"
-            identifier += 1
-        return template
-
-    def parse_inverse_pole_figures(self, template: dict) -> dict:
-        """Parse inverse pole figures (IPF) mappings."""
-        print("Parse inverse pole figures (IPFs)...")
-        print(len(self.oina["phase"]))
-        # identifier match because phase is a list asc. sorted by numerical keys
-        for identifier in np.arange(0, np.max(self.xmap.phase_id) + 1):
-            self.parse_inverse_pole_figure_map(identifier, template)
-            self.parse_inverse_pole_figure_color_key(identifier, template)
-            identifier += 1
-
-        return template
-
-    def parse_inverse_pole_figure_map(self, identifier, template: dict) -> dict:
-        """Parse and create inverse-pole-figure (IPF) mappings on their color models."""
-        # +1 because for orix not_indexed -1 and "first" phase has ID 0 !
-        phase_id = identifier + 1
-        phase_name = self.xmap.phases[identifier].name
-        print(
-            f"Generate inverse pole figure (IPF) map for {identifier}, {phase_name}..."
-        )
-
-        phase_id_ipf_key = plot.IPFColorKeyTSL(
-            self.xmap.phases[identifier].point_group.laue, direction=Vector3d.zvector()
-        )
-
-        rgb_px_with_phase_id = np.asarray(
-            np.asarray(
-                phase_id_ipf_key.orientation2color(self.xmap[phase_name].rotations)
-                * 255.0,
-                np.uint32,
-            ),
-            np.uint8,
-        )
-
-        ipf_rgb_map = np.asarray(
-            np.uint8(np.zeros((self.xmap.shape[0] * self.xmap.shape[1], 3)) * 255.0)
-        )
-        # background is black instead of white (which would be more pleasing)
-        # but IPF color maps have a whitepoint which encodes in fact an orientation
-        # and because of that we may have a single crystal with an orientation
-        # close to the whitepoint which become a fully white seemingly "empty" image
-        ipf_rgb_map[self.xmap.phase_id == identifier, :] = rgb_px_with_phase_id
-        ipf_rgb_map = np.reshape(
-            ipf_rgb_map, (self.xmap.shape[0], self.xmap.shape[1], 3), order="C"
-        )  # 0 is y while 1 is x !
-
-        trg = (
-            f"/ENTRY[entry{self.entry_id}]/experiment/indexing"
-            f"/PROCESS[ipf_map{phase_id}]"
-        )
-        template[f"{trg}/bitdepth"] = np.uint32(8)
-        template[f"{trg}/phase_identifier"] = np.uint32(phase_id)
-        template[f"{trg}/phase_name"] = str(phase_name)
-        template[f"{trg}/PROGRAM[program1]/program"] = str("orix")
-        template[f"{trg}/PROGRAM[program1]/program/@version"] = orix.__version__
-        template[f"{trg}/PROGRAM[program2]/program"] = str("diffsims")
-        template[f"{trg}/PROGRAM[program2]/program/@version"] = diffsims.__version__
-        template[f"{trg}/projection_direction"] = np.asarray(
-            [0.0, 0.0, 1.0], np.float32
-        )
-        # should have a reference so that it is directly interpretable
-
-        trg = (
-            f"/ENTRY[entry{self.entry_id}]/experiment/indexing/"
-            f"PROCESS[ipf_map{phase_id}]/ipf_rgb_map"
-        )
-        template[f"{trg}/title"] = str("Inverse pole figure color map")
-        template[f"{trg}/@signal"] = "data"
-        template[f"{trg}/@axes"] = ["axis_y", "axis_x"]
-        template[f"{trg}/@AXISNAME_indices[axis_x_indices]"] = np.uint32(0)
-        template[f"{trg}/@AXISNAME_indices[axis_y_indices]"] = np.uint32(1)
-        trg = (
-            f"/ENTRY[entry{self.entry_id}]/experiment/indexing/"
-            f"PROCESS[ipf_map{phase_id}]/ipf_rgb_map/DATA[data]"
-        )
-        template[f"{trg}"] = {"compress": ipf_rgb_map, "strength": 1}
-        template[f"{trg}/@CLASS"] = "IMAGE"  # required by H5Web to plot RGB maps
-        template[f"{trg}/@IMAGE_VERSION"] = "1.2"
-        template[f"{trg}/@SUBCLASS_VERSION"] = np.int64(15)
-
-        # dimension scale axes value arrays same for each phase, entire IPF map
-        trg = (
-            f"/ENTRY[entry{self.entry_id}]/experiment/indexing/"
-            f"PROCESS[ipf_map{phase_id}]/ipf_rgb_map/axis_x"
-        )
-        template[f"{trg}"] = {
-            "compress": np.asarray(
-                0.5 * self.oina["scan_step"][1] + self.xaxis[0 : self.xmap.shape[1]],
-                np.float32,
-            ),
-            "strength": 1,
-        }
-        template[
-            f"{trg}/@long_name"
-        ] = f"Calibrated coordinate along x-axis ({self.oina['scan_unit'][1]})"
-        template[f"{trg}/@units"] = self.oina["scan_unit"][1]
-
-        trg = (
-            f"/ENTRY[entry{self.entry_id}]/experiment/indexing/"
-            f"PROCESS[ipf_map{phase_id}]/ipf_rgb_map/axis_y"
-        )
-        template[f"{trg}"] = {
-            "compress": np.asarray(
-                0.5 * self.oina["scan_step"][0]
-                + self.yaxis[0 : self.xmap.size : self.xmap.shape[1]],
-                np.float32,
-            ),
-            "strength": 1,
-        }
-        template[
-            f"{trg}/@long_name"
-        ] = f"Calibrated coordinate along y-axis ({self.oina['scan_unit'][0]})"
-        template[f"{trg}/@units"] = self.oina["scan_unit"][0]
-
-        return template
-
-    def parse_inverse_pole_figure_color_key(self, identifier, template: dict) -> dict:
-        """Parse color key renderings of inverse-pole-figure (IPF) mappings."""
-        # +1 because for orix not_indexed -1 and "first" phase has ID 0 !
-        phase_id = identifier + 1
-        phase_name = self.xmap.phases[identifier].name
-        print(
-            f"Parse inverse pole figure (IPF) color key {identifier}, {phase_name}..."
-        )
-
-        phase_id_ipf_key = plot.IPFColorKeyTSL(
-            self.xmap.phases[identifier].point_group.laue, direction=Vector3d.zvector()
-        )
-
-        # render domain-specific IPF color keys using orix
-        fig = phase_id_ipf_key.plot(return_figure=True)
-        fig.savefig(
-            "temporary.png",
-            dpi=300,
-            facecolor="w",
-            edgecolor="w",
-            orientation="landscape",
-            format="png",
-            transparent=False,
-            bbox_inches="tight",
-            pad_inches=0.1,
-            metadata=None,
-        )
-        # constraint further to 8bit RGB and no flipping
-        # im = np.asarray(imageio.v3.imread(symm_name))
-        img = np.asarray(
-            thumbnail(pil.open("temporary.png", "r", ["png"]), size=HFIVE_WEB_MAX_SIZE),
-            np.uint8,
-        )
-        img = img[:, :, 0:3]  # discard alpha channel
-        if os.path.exists("temporary.png"):
-            os.remove("temporary.png")
-        # ##MK::need to constrain more the writing of the image that it is guaranteed
-        # a specific type of image and bitdepth and color model, and avoid implicit
-        # image transformations such as flips or rotations
-
-        trg = (
-            f"/ENTRY[entry{self.entry_id}]/experiment/indexing"
-            f"/PROCESS[ipf_map{phase_id}]/ipf_rgb_color_model"
-        )
-        template[f"{trg}/title"] = str("Inverse pole figure color key with SST")
-        template[f"{trg}/@signal"] = "data"
-        template[f"{trg}/@axes"] = ["axis_y", "axis_x"]
-        template[f"{trg}/@AXISNAME_indices[axis_x_indices]"] = np.uint32(0)
-        template[f"{trg}/@AXISNAME_indices[axis_y_indices]"] = np.uint32(1)
-        trg = (
-            f"/ENTRY[entry{self.entry_id}]/experiment/indexing"
-            f"/PROCESS[ipf_map{phase_id}]/ipf_rgb_color_model/DATA[data]"
-        )
-        template[f"{trg}"] = {"compress": img, "strength": 1}
-        template[f"{trg}/@CLASS"] = "IMAGE"
-        template[f"{trg}/@IMAGE_VERSION"] = "1.2"
-        template[f"{trg}/@SUBCLASS_VERSION"] = np.int64(15)
-
-        trg = (
-            f"/ENTRY[entry{self.entry_id}]/experiment/indexing"
-            f"/PROCESS[ipf_map{phase_id}]/ipf_rgb_color_model/AXISNAME[axis_y]"
-        )
-        template[f"{trg}"] = {
-            "compress": np.asarray(
-                np.linspace(1, np.shape(img)[0], num=np.shape(img)[0], endpoint=True),
-                np.uint32,
-            ),
-            "strength": 1,
-        }
-        template[f"{trg}/@long_name"] = "Pixel along y-axis"
-        template[f"{trg}/@units"] = "px"
-
-        trg = (
-            f"/ENTRY[entry{self.entry_id}]/experiment/indexing"
-            f"/PROCESS[ipf_map{phase_id}]/ipf_rgb_color_model/AXISNAME[axis_x]"
-        )
-        template[f"{trg}"] = {
-            "compress": np.asarray(
-                np.linspace(1, np.shape(img)[1], num=np.shape(img)[1], endpoint=True),
-                np.uint32,
-            ),
-            "strength": 1,
-        }
-        template[f"{trg}/@long_name"] = "Pixel along x-axis"
-        template[f"{trg}/@units"] = "px"
-
-        return template
-
-    def parse(self, template: dict) -> dict:
-        """Parse NOMAD OASIS relevant data and metadata from an H5OINA file."""
-        print("Parsing EBSD data pyxem/orix-style for an H5OINA example...")
-        print(self.file_names)
-        print(f"{self.entry_id}")
-        self.parse_h5oina(1)
-        self.parse_roi_default_plot(template)
-        self.parse_phases(template)
-        self.parse_inverse_pole_figures(template)
-        return template
diff --git a/pynxtools/dataconverter/readers/em_om/utils/use_case_selector.py b/pynxtools/dataconverter/readers/em_om/utils/use_case_selector.py
deleted file mode 100644
index ea9ce4f17..000000000
--- a/pynxtools/dataconverter/readers/em_om/utils/use_case_selector.py
+++ /dev/null
@@ -1,171 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Utility class handling which community/technology partner files for em_om reader."""
-
-# pylint: disable=no-member,duplicate-code
-
-from typing import Tuple, Dict, List
-
-
-class EmOmUseCaseSelector:  # pylint: disable=too-few-public-methods
-    """Decision maker about what needs to be parsed given arbitrary input.
-
-    Users might invoke this dataconverter with arbitrary input, no input, or
-    too much input. The UseCaseSelector decides what to do in each case.
-    """
-
-    def __init__(self, file_paths: Tuple[str] = None):
-        """Analyze with which parser(s) (if any) input can be handled."""
-        self.mime_types: Dict[str, list] = {}
-        self.eln_parser_type: str = "none"
-        self.eln: List[str] = []
-        self.dat_parser_type: str = "none"
-        self.dat: List[str] = []
-        self.is_valid = False
-
-        self.analyze_mime_types(file_paths)
-        self.identify_case()
-
-    def analyze_mime_types(self, file_paths: Tuple[str] = None):
-        """Accept/reject and organize input-files based on mime-type."""
-        self.supported_mime_types = ["yaml", "yml", "h5oina", "mtex", "zip", "dream3d"]
-        # "score", "qube", "paradis", "ang", "cpr", "crc", "damask via dream3d"
-        for mime_type in self.supported_mime_types:
-            self.mime_types[mime_type] = []
-        for file_name in file_paths:
-            index = file_name.lower().rfind(".")
-            if index >= 0:
-                suffix = file_name.lower()[index + 1 : :]
-                add = (suffix in self.supported_mime_types) and (
-                    file_name not in self.mime_types[suffix]
-                )
-                if add is True:
-                    self.mime_types[suffix].append(file_name)
-        print(self.mime_types)
-
-    def identify_case(self):
-        """Identify which sub-parsers to use if any based on input mime_types."""
-        # eln
-        self.is_valid = False
-        for mime_type in ["yaml", "yml"]:
-            self.eln += self.mime_types[mime_type]
-        if len(self.eln) == 1:
-            self.eln_parser_type = "generic"
-            self.is_valid = True
-        else:
-            self.eln_parser_type = "none"
-
-        # (heavy) data from community or technology partners
-        if self.needs_orix_parser() is True:
-            self.dat += self.mime_types["h5oina"]
-            if len(self.dat) == 1:
-                self.dat_parser_type = "orix"
-        elif self.needs_mtex_parser() is True:
-            self.dat += self.mime_types["mtex"]
-            if len(self.dat) == 1:
-                self.dat_parser_type = "mtex"
-        elif self.needs_zip_parser() is True:
-            self.dat += self.mime_types["zip"]
-            if len(self.dat) == 1:
-                self.dat_parser_type = "zip"
-        elif self.needs_dreamthreed_parser() is True:
-            self.dat += self.mime_types["dream3d"]
-            if len(self.dat) == 1:
-                self.dat_parser_type = "dream3d"
-        # elif self.needs_kikuchipy_parser() is True:
-        #     self.dat_parser_type = "kikuchipy"
-        # elif self.needs_score_parser() is True:
-        #     self.dat_parser_type = "score"
-        # elif self.needs_qube_parser() is True:
-        #     self.dat_parser_type = "qube"
-        # elif self.needs_paradis_parser() is True:
-        #     self.dat_parser_type = "paradis"
-        # elif self.needs_brinckmann_parser() is True:
-        #     self.dat_parser_type = "brinckmann"
-        else:
-            self.dat_parser_type = "none"
-
-        # if self.eln_parser_type != "none":  # and (self.dat_parser_type != "none"):
-        print("Input suggests to use the following sub-parsers:")
-        print(f"ELN parser: {self.eln_parser_type}")
-        print(self.eln)
-        print(f"Data parser: {self.dat_parser_type}")
-        print(self.dat)
-        # self.is_valid = True
-        print(f"Input suggests that parsing is valid: {self.is_valid}")
-
-    def needs_orix_parser(self):
-        """Check if input suggests to use orix parser or not."""
-        if "h5oina" in self.mime_types:
-            if len(self.mime_types["h5oina"]) == 1:
-                return True
-        return False
-
-    def needs_mtex_parser(self):
-        """Check if input suggests to use MTex parser or not."""
-        if "mtex" in self.mime_types:
-            if len(self.mime_types["mtex"]) == 1:
-                return True
-        return False
-
-    def needs_zip_parser(self):
-        """Check if input suggests to use zipfile parser for generic pattern or not."""
-        if "mtex" in self.mime_types:
-            if len(self.mime_types["zip"]) == 1:
-                return True
-        return False
-
-    def needs_dreamthreed_parser(self):
-        """Check if input suggests to use DREAM.3D parser or not."""
-        if "dream3d" in self.mime_types:
-            if len(self.mime_types["dream3d"]) == 1:
-                return True
-        return False
-
-    def needs_kikuchipy_parser(self):
-        """Check if input suggests to use kikuchipy parser or not."""
-        return False
-
-    def needs_score_parser(self):
-        """Check if input suggests to use SCORE cellular automaton model parser or not."""
-        return False
-
-    def needs_qube_parser(self):
-        """Check if input suggests to use Bruker QUBE parser or not."""
-        return False
-
-    def needs_paradis_parser(self):
-        """Check if input suggests to use ParaDIS DDD parser or not."""
-        return False
-
-    def needs_brinckmann_parser(self):
-        """Check if input suggests to use S. Brinckmann's EBSD parser or not."""
-        return False
-
-    #     """Check if input suggests to use Brinckmann parser or not."""
-    #     if len(self.mime_types["cpr"]) == 1 and len(self.mime_types["crc"]) == 1:
-    #         # HKL Channel 5 cpr/crc file should be a pair with the same file name
-    #         if self.mime_types["cpr"][0].lower().replace(".cpr", "") \
-    #             == self.mime_types["crc"][0].lower().replace(".crc", ""):
-    #             # add files to self.dat
-    #             return True
-    #     if len(self.mime_types["ang"]) == 1:
-    #         # consider in the future to use rather the kikuchipy or MTex parser
-    #         # add files to self.dat
-    #         return True
-    #     return False
diff --git a/pynxtools/dataconverter/readers/em_om/utils/versioning.py b/pynxtools/dataconverter/readers/em_om/utils/versioning.py
deleted file mode 100644
index ed0c6a6cd..000000000
--- a/pynxtools/dataconverter/readers/em_om/utils/versioning.py
+++ /dev/null
@@ -1,31 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Utility tool constants and versioning."""
-
-# pylint: disable=no-member
-
-from pynxtools.dataconverter.readers.shared.shared_utils import get_repo_last_commit
-
-
-NX_EM_OM_ADEF_NAME = "NXem_ebsd"
-NX_EM_OM_ADEF_VERSION = (
-    "nexus-fairmat-proposal successor of " "9636feecb79bb32b828b1a9804269573256d7696"
-)
-# based on https://fairmat-experimental.github.io/nexus-fairmat-proposal
-NX_EM_OM_EXEC_NAME = "dataconverter/reader/em_om/reader.py"
-NX_EM_OM_EXEC_VERSION = get_repo_last_commit()
diff --git a/pynxtools/dataconverter/readers/em_om/utils/zip_ebsd_parser.py b/pynxtools/dataconverter/readers/em_om/utils/zip_ebsd_parser.py
deleted file mode 100644
index b403b9c77..000000000
--- a/pynxtools/dataconverter/readers/em_om/utils/zip_ebsd_parser.py
+++ /dev/null
@@ -1,221 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Parse Kikuchi pattern from a ZIP file without temporary copies of unpacked files."""
-
-# pylint: disable=no-member,duplicate-code
-
-# https://orix.readthedocs.io/en/stable/tutorials/inverse_pole_figures.html
-
-# type: ignore
-
-# from typing import Dict, Any, List
-
-import re
-
-import numpy as np
-
-from zipfile37 import ZipFile
-
-# import imageio.v3 as iio
-from PIL import Image as pil
-
-from pynxtools.dataconverter.readers.em_om.utils.em_nexus_plots import (
-    HFIVE_WEB_MAX_SIZE,
-)
-
-
-class NxEmOmZipEbsdParser:
-    """Parse *.zip EBSD data."""
-
-    def __init__(self, file_name, entry_id):
-        """Class wrapping zip parser."""
-        # this is one example which should be extended to support reading of
-        # EBSD pattern simulations and/or generic EBSD pattern in a zip file
-        # frequently pattern are stored as individual images and then compressed
-        # and uploaded to online repositories like zenodo
-        # this rips these data out of their context, instead one should better
-        # create an application definition which interfaces how a computer simulation
-        # exports these pattern into a common format (e.g. some of the HDF5 variants)
-        self.file_name = file_name
-        self.entry_id = entry_id
-        self.stack_meta = {}
-        self.stack = []
-
-    def parse_zip(self, template: dict) -> dict:
-        """Parse content from *.zip format."""
-        with ZipFile(self.file_name) as zip_file_hdl:
-            # print(zip_file_hdl.namelist())
-            # identify first the content in this archive
-            # ASSUME that pattern have numeral components in their file name
-            zip_content_table = {}
-            for file in zip_file_hdl.namelist():
-                keyword = str(np.uint64(re.sub("[^0-9]", "", file)))
-                if len(keyword) > 0 and keyword not in zip_content_table:
-                    zip_content_table[keyword] = file
-                else:
-                    print("WARNING::Automatically derived name is not unique!")
-                    return template
-            # not all content though qualifies as Kikuchi pattern
-            # people can trick an algorithm always
-            #     like camouflage an image file for a text file
-            #     upload images which have not the same dimensions
-            #     upload images which are for sure not Kikuchi pattern and in fact
-            # the last point is highly relevant for NOMAD assume a public instance
-            # one could easily inject here inappropriate or illegal material...
-
-            # ASSUME first image specifies file type and dimensions for all pattern to come
-            # ...here we immediately see how problematic custom directory structures
-            # for storing research data are even if they were to contain only exactly
-            # always data of expected format...
-            self.stack_meta = {
-                "fname": "",
-                "size": (0, 0),
-                "dtype": np.uint8,
-                "ftype": "",
-            }
-            # in pixel, use axisy and axisx for dimension scale axes
-            # ASSUME slow axis is y, fast axis is x
-            for keyword, value in zip_content_table.items():
-                tmp = value.split(".")
-                if (len(tmp) > 1) and (
-                    tmp[-1].lower() in ["bmp", "jpg", "png", "tiff"]
-                ):
-                    # there are examples where people store Kikuchi diffraction pattern
-                    # as lossy and lossless raster...
-                    # pil supports reading of files in more formats but the above are
-                    # the formats typically used for Kikuchi pattern
-                    with zip_file_hdl.open(value) as file_hdl:
-                        # ##MK::would be to not load the entire image but just shape tags
-                        img = pil.open(file_hdl, "r")  # np.asarray(pil.open(file_hdl))
-                        if img.mode != "L":
-                            # https://stackoverflow.com/questions/1996577/
-                            # how-can-i-get-the-depth-of-a-jpg-file
-                            break
-                        shp = (img.height, img.width)  # np.shape(img)
-                        if (
-                            (shp[0] > 0)
-                            and (shp[0] <= HFIVE_WEB_MAX_SIZE)
-                            and (shp[1] > 0)
-                            and (shp[1] <= HFIVE_WEB_MAX_SIZE)
-                        ):
-                            # found the guiding image
-                            self.stack_meta["size"] = (shp[0], shp[1])  # , 3)
-                            self.stack_meta["fname"] = value
-                            self.stack_meta["ftype"] = tmp[-1].lower()
-                            self.stack_meta["dtype"] = np.uint8  # for mode "L"
-                            # ##MK::bit depth and other constraints
-                            break
-                            # ##MK::at the moment not supporting > HFIVE_WEB_MAX_SIZE
-                            # images but this is usually not required
-            print(self.stack_meta)
-            # ASSUME that the user has stored all other relevant images of the stack
-            # with useful numeral names and that these have the same metadata
-            # (size, filetype, dtype)
-            identifier = 0
-            self.stack = np.zeros(
-                (
-                    len(zip_content_table),
-                    self.stack_meta["size"][0],
-                    self.stack_meta["size"][1],
-                ),
-                self.stack_meta["dtype"],
-            )
-            for keyword, value in zip_content_table.items():
-                tmp = value.split(".")
-                if (len(tmp) > 1) and (tmp[-1].lower() == self.stack_meta["ftype"]):
-                    with zip_file_hdl.open(value) as file_handle:
-                        # img = np.asarray(pil.open(file_handle))
-                        img = pil.open(file_handle, "r")
-                        if (img.mode == "L") and (img.palette is None):
-                            img = np.asarray(img, np.uint8)
-                            # ##MK::for bitmap no need to discard alpha channels, check
-                            # print(np.shape(img))
-                            # img = img[:, :, 0:3]  # discard eventual alpha channels
-                        else:
-                            break
-
-                        if (np.shape(img) == self.stack_meta["size"]) and (
-                            img.dtype == self.stack_meta["dtype"]
-                        ):
-                            self.stack[identifier, :, :] = img
-                            # Kikuchi pattern may come as 8-bit (grayscale) RGBs
-                            # or as simulated intensities (as floats)
-                            # ASSUME here we load only images when [1, HFIVE_WEB_MAX_SIZE]
-                            # and map eventual RGB bitmaps on intensities
-                            identifier += 1
-            # okay this is about the intensity but what about the dimension scale axes
-            # with tiff these could be stored in the tiff tag image metadata
-            # print(np.shape(self.kikuchi))
-            # print(self.kikuchi)
-        return template
-
-    def parse_pattern_stack_default_plot(self, template: dict) -> dict:
-        """Parse data for the Kikuchi image stack default plot."""
-        print("Parse Kikuchi pattern stack default plot...")
-        trg = (
-            f"/ENTRY[entry{self.entry_id}]/simulation/IMAGE_SET_EM_KIKUCHI"
-            f"[image_set_em_kikuchi]/stack"
-        )
-
-        template[f"{trg}/title"] = str("Kikuchi diffraction pattern stack")
-        template[f"{trg}/@signal"] = "data_counts"
-        template[f"{trg}/@axes"] = ["axis_x", "axis_y"]
-        template[f"{trg}/@AXISNAME_indices[axis_x_indices]"] = np.uint32(0)
-        template[f"{trg}/@AXISNAME_indices[axis_y_indices]"] = np.uint32(1)
-
-        trg = (
-            f"/ENTRY[entry{self.entry_id}]/simulation/IMAGE_SET_EM_KIKUCHI"
-            f"[image_set_em_kikuchi]/stack/data_counts"
-        )
-        template[f"{trg}"] = {"compress": self.stack, "strength": 1}
-        # 0 is y while 1 is x !
-        template[f"{trg}/@long_name"] = "Signal"
-        template[f"{trg}/@CLASS"] = "IMAGE"  # required by H5Web to plot RGB maps
-        template[f"{trg}/@IMAGE_VERSION"] = "1.2"
-        template[f"{trg}/@SUBCLASS_VERSION"] = np.int64(15)
-
-        axes_names = [("axis_x", 1, "x-axis"), ("axis_y", 0, "y-axis")]
-        for axis in axes_names:
-            trg = (
-                f"/ENTRY[entry{self.entry_id}]/simulation/IMAGE_SET_EM_KIKUCHI"
-                f"[image_set_em_kikuchi]/stack/{axis[0]}"
-            )
-            axis_i = np.asarray(
-                np.linspace(
-                    0,
-                    self.stack_meta["size"][axis[1]],
-                    num=self.stack_meta["size"][axis[1]],
-                    endpoint=True,
-                ),
-                np.float64,
-            )
-            # overwrite with calibrated scale if available
-            # i.e. when self.stack_meta["axis_x"] not None:
-            template[f"{trg}"] = {"compress": axis_i, "strength": 1}
-            template[f"{trg}/@long_name"] = f"Pixel coordinate along {axis[2]}"
-            template[f"{trg}/@units"] = "px"
-        return template
-
-    def parse(self, template: dict) -> dict:
-        """Parse NOMAD OASIS relevant data and metadata from a ZIP file."""
-        print("Parsing EBSD data generic-style for a ZIP example...")
-        print(self.file_name)
-        print(f"{self.entry_id}")
-        self.parse_zip(template)
-        self.parse_pattern_stack_default_plot(template)
-        return template
diff --git a/pynxtools/dataconverter/readers/em_spctrscpy/README.md b/pynxtools/dataconverter/readers/em_spctrscpy/README.md
deleted file mode 100644
index c169fdd7b..000000000
--- a/pynxtools/dataconverter/readers/em_spctrscpy/README.md
+++ /dev/null
@@ -1,194 +0,0 @@
-# em_spctrscpy reader
-
-## Purpose
-Translate diverse files from the scientific community and technology partners within
-the electron microscopy community into a standardized representation using the NeXus
-application definition NXem.
-This parser does not copy over all of the data and metadata in files from especially
-commercial software but that particular subset which is understood and useful
-inside a NOMAD OASIS instance.
-
-## What this em reader supports
-The main idea behind the parser is to offer users of the OASIS a diverse example of how
-a parser for specific file formats can be written and designed. We would like to encourage
-the EM community to share example files with us. These can be small and come from diverse use cases.
-Ideally, these should represent data in file formats from technology partners other than the 
-already here supported and implemented ones. This would support us to broaden the applicability
-of this parser.
-
-Specifically, the implementation shows how I/O functionalities of hyperspy can be used
-to load data of spectroscopy experiments from three exemplar file formats:
-Bruker BCF, Velox EMD, and DigitalMicrograph DM3. The implementation shows how generic
-and specialized instances of the NeXus base classes NXspectrum_set and NXimage_set
-can be created and registered inside instances of NXevent_data_em; and then how all these
-can be composed and stored inside a NeXus/HDF5 file that matches the NXem application definition.
-
-This makes the example relevant for researchers who work within the fields of
-scanning electron microscopy (SEM) EDS/EDX, transmission electron microscopy
-(EDS/STEM), and electron energy loss spectroscopy (EELS).
-
-## Getting started - standalone usage
-If you use this dataconverter/em_spctrscpy parser as a standalone tool,
-1. You should follow the interactive jupyter notebook that is stored in 
-   *pynxtools/examples/em_spctrscpy*.
-2. As the standalone usage of this parser does not require a NOMAD OASIS instance,
-   you have to edit the ELN manually or via another ELN. For this you can edit the
-   example eln_data_em_spctrscpy.yaml which comes shipped with this example.
-   Alternatively, you can at this point copy or place your own datasets into the
-   working directory of the jupyter lab instance.
-3. Once the YAML file has been edited, to your satisfaction you can continue
-   executing the jupyter tutorial. This should create an instance of a NeXus/HDF5 file
-   which is formatted according to the NXem application definition.
-
-## Getting started - usage related to NOMAD OASIS
-This parser can be used to map numerical data and metadata inside frequently used
-file formats from technology partners of electron microscopy software tools into a
-NeXus/HDF5 file which complies with a specific version of the NXem application
-definition.
-
-If you are using a NOMAD OASIS you can use this tool as follows.
-1. Log-in to a NOMAD OASIS instance and navigate to the *Create Uploads* tab.
-2. Select em_spctrscpy example from the list of available options.
-3. Drag-and-drop your files in specific file formats. Currently,
-   support for Bruker BCF, Velox EMD, and DigitalMicrograph DM3 is implemented.
-3. Edit the electronic lab notebook (ELN) schema inside the NOMAD OASIS and click the
-   save button in the NOMAD OASIS GUI to save the data that you have entered into
-   the ELN template. Clicking *save* will trigger the automatic generation
-   of an eln_data.yaml file. Second, the clicking will trigger a run of the
-   dataconverter/em_spctrscpy parser which generates a NXem NeXus file based on
-   your uploaded BCF, EMD or DM3 file. You can explore these files in the file
-   browsing tab of NOMAD OASIS.
-   By default the converter performs a strong loss-less compression on the input
-   as many of the stack data store integers with a low entropy. The compression may
-   take some time. Arrays with floating point values are also compressed by
-   default but with a lower compression strength.
-   You can inspect the progress of the conversion in the console from which
-   you started the NOMAD OASIS appworker.
-4. If successful, a NeXus (nxs) file will appear in your upload. You can explore
-   its content with the H5Web tools inside the NOMAD OASIS GUI and click interactively
-   through the data including default plots. For electron microscopy these are the 
-   EDS/EDX spectra stack, eventually a sum spectrum, and (annular dark field)
-   overview images of the material region-of-interest (ROI) characterized if present.
-   If unsuccessful, the console from which you started the NOMAD OASIS appworker
-   can help you with identifying problems.
-
-Given that microscopy software tools differ, users should not expect that every
-required field in the application definition can be served by data and metadata
-from an arbitrary such microscopy tool, often some metadata are not stored in
-the files from technology partners in a way that they are openly accessible.
-
-Therefore, the em_spctrscpy reader takes additional metadata from the eln_data.yaml file.
-Here the feature of custom schema for the NOMAD ELN serve two tasks. Firstly, they
-define the elements of the graphical user interface which this domain-specific ELN
-template should offer. Secondly, they enable collecting metadata.
-
-## Background
-This em_spctrscpy reader was implemented as an example to show how tools like
-the pynxtools, YAML-based schemas and files from technology partners can be customized
-to enable automated parsing and mapping of data in different representations
-on NXem.
-
-## Technical background details for developers and data scientists
-The em_spctrscpy reader serves as a parser with multiple parts/readers/and sub-parser/
-components because data and metadata in electron microscopy come from such a diverse
-number of file formats and use cases, from results of interactions with different GUIs,
-scripts running inside GUIs, or user-customized/-written scripts using open-source microscopy
-software tools that it is essential to keep things well modularized.
-These subtilities make the development of a general enough parser challenging.
-
-Our approach with dataconverter/em_spctrscpy is to offer users of a NOMAD OASIS instance
-first at all an implemented step-by-step example how they can combine different software
-tools and make these operational in a NOMAD OASIS. Therefore, we follow an approach that
-is breadth- rather than depth-first. Our approach is driven by examples.
-Breadth first means, we would like to offer the user first an overview of the rather large
-number of NeXus base classes within the design of the NXem application definition.
-
-Practically, the process needs to be driven by examples because many I/O routines for
-file formats from technology partners in open-source software have been implemented based
-on reverse engineering. Hyperspy is a good example of these developments and efforts.
-In fact, there is currently no joint knowledge base how all possible file formats can be safely
-and robustly parsed so that each field and entry is not only binarily readable but can also
-confidently be mapped on specific terms using a controlled vocabulary.
-Interestingly, this challenge is independent of the ontology used.
-
-Currently the example implements for:
-* NXspectrum_set
-* NXimage_set
-
-These already cover how also the simpler cases of plain calibrated images could be covered.
-
-## NXem and the status quo of data schemes in electron microscopy
-NXem is a general application definition which embraces multiple EM sub-communities.
-Specifically, condensed-matter physicists, materials scientists, and materials engineers,
-i.e. electron microscopy users which have all their own software solutions or at least
-different, best practices and protocols currently, to interact and work with electron
-microscopy data.
-
-Our starting point in FAIRmat for EM was thus different compared to the situation
-in e.g. the field of atom probe microscopy. In the field of atom probe, only a few file
-formats exist and have been in use when the FAIRmat project started.
-This is why dataconverter/em_spctrscpy has its own subroutines for loading intricate
-details of files from the open-source community or technology partners.
-
-By contrast, for electron microscopy developing that many file format readers
-on our own is not a feasible approach for two reasons:
-
-First, there is very limited use of writing again readers for specific EM file formats
-because the EM community has developed already many of such parses. Many of them are mature
-in that they offer internal readers for several file formats.
-The strength of the existent readers is that many users already work with such software.
-Thus, supporting the development and working together on I/O functions for files from
-technology partners and discussing open issues is in our opinion the preferred approach.
-
-Specific examples of such community tools are:
-**hyperspy** for analyses of spectra such as EDX/EDS and EELS, used in SEM/TEM communities
-**mtex** for analyses of texture, and EBSD data, heavily used in the SEM community
-**dream3d** for 3D EBSD post-processing into synthetic volume elements
-**EMsoft** for indexing EBSD, **kikuchipy** and **pyxem** leaning towards the TEM community
-
-Processing of results from the latter three tools is partially covered by the em_om example.
-
-Instead of reimplementing the wheel, we are convinced the I/O functionalities of these tools
-should be used by even more people to support the respective open-source projects.
-
-The other reason why we are not convinced that it is a sustainable approach for a National
-Research Data Infrastructure that each project implements own formats is that there are already
-two important challenges with the status quo in electron microscopy:
-Format constraints and limited documentation of the content and details behind some of the file
-formats from technology partners. We should make clear that we acknowledge the significant momentum
-and effort which microscopy manufacturers as technology partners invest into the storing of metadata
-in their (commercial) software solutions. We would like to see though that more of these efforts
-become documented in the literature in technical design specifications and ideally as living
-documents via public repositories which are lead by the technology partners but
-open to contributions from the scientific community.
-
-## A request to take action by technology partners and the scientific community
-While commercial software is used by numerous microscopists every day, it is interesting to note
-that the detailed knowledge about the I/O routines has always been on a few developers shoulders.
-We have realized that many of the file format readers in open-source software were reverse-engineered.
-This is challenging because the amount of documentation that is available especially for some file formats
-is neither exhaustive nor documented enough in detail.
-
-This limits developers when they have to decide and design how to best implement the mapping
-of specific binary numerical data and metadata into specifically named fields.
-Here we hope that intensified exchange between technology partners and the scientific community
-can help to improve the situation.
-
-You are very welcome to leave us comments in the issue list (or drop us an email) to exchange
-specifically about this topic. Even better would be if commercial software tools evolve
-into a state that they offer complementary options for exporting detailed metadata
-and numerical data through publicly documented formats.
-
-## A starting point to harmonize metadata and numerical data from scripting based solutions
-It is noteworthy that internally many of tools, whether it be commercial or open source tools,
-implement their data analysis pipelines and functionalities via object-oriented programming.
-
-Therefore, even though users of tools like mtex or hyperspy may in practice create very
-different scripts, they still interact with a restricted set of class instances and methods.
-In effect, having these classes offers a possibility for developing more generic parsers
-like what is here exemplified with the dataconverter/em_spctrscpy parser. As an example
-we explore along this idea the parsing of data from EBSD class object instances
-with MTex, which is offered via the em_om example.
-
-## Contact person in FAIRmat for this reader
-Markus Kühbach
\ No newline at end of file
diff --git a/pynxtools/dataconverter/readers/em_spctrscpy/__init__.py b/pynxtools/dataconverter/readers/em_spctrscpy/__init__.py
deleted file mode 100644
index e69de29bb..000000000
diff --git a/pynxtools/dataconverter/readers/em_spctrscpy/reader.py b/pynxtools/dataconverter/readers/em_spctrscpy/reader.py
deleted file mode 100644
index 0d3c14863..000000000
--- a/pynxtools/dataconverter/readers/em_spctrscpy/reader.py
+++ /dev/null
@@ -1,145 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Parser for loading generic X-ray spectroscopy and EELS data into NXem via hyperspy."""
-
-# pylint: disable=no-member
-
-from typing import Tuple, Any
-
-from pynxtools.dataconverter.readers.base.reader import BaseReader
-
-from pynxtools.dataconverter.readers.em_spctrscpy.utils.em_use_case_selector import (
-    EmUseCaseSelector,
-)
-
-from pynxtools.dataconverter.readers.em_spctrscpy.utils.em_generic_eln_io import (
-    NxEmNomadOasisElnSchemaParser,
-)
-
-from pynxtools.dataconverter.readers.em_spctrscpy.utils.em_event_data import (
-    NxEventDataEm,
-)
-
-from pynxtools.dataconverter.readers.em_spctrscpy.utils.em_nexus_plots import (
-    em_spctrscpy_default_plot_generator,
-)
-
-from pynxtools.dataconverter.readers.em_spctrscpy.utils.em_example_data import (
-    EmSpctrscpyCreateExampleData,
-)
-
-
-def hyperspy_parser(file_name: str, template: dict, entry_id: int) -> dict:
-    """Parse content from electron microscopy vendor files."""
-    test = NxEventDataEm(file_name, entry_id)
-    test.report(template)
-    return template
-
-
-def nomad_oasis_eln_parser(file_name: str, template: dict, entry_id: int) -> dict:
-    """Parse out output from a YAML file from a NOMAD OASIS YAML."""
-    test = NxEmNomadOasisElnSchemaParser(file_name, entry_id)
-    test.report(template)
-    return template
-
-
-class EmSpctrscpyReader(BaseReader):
-    """Parse content from community file formats.
-
-    Specifically, electron microscopy
-    towards a NXem.nxdl-compliant NeXus file.
-    """
-
-    # pylint: disable=too-few-public-methods
-
-    # Whitelist for the NXDLs that the reader supports and can process
-    supported_nxdls = ["NXem"]
-
-    # pylint: disable=duplicate-code
-    def read(
-        self,
-        template: dict = None,
-        file_paths: Tuple[str] = None,
-        objects: Tuple[Any] = None,
-    ) -> dict:
-        """Read data from given file, return filled template dictionary em."""
-        # pylint: disable=duplicate-code
-        template.clear()
-
-        # this em_spctrscpy parser combines multiple sub-parsers
-        # so we need the following input:
-        # logical analysis which use case
-        # data input from an ELN (e.g. NOMAD OASIS)
-        # data input from technology partner files
-        # functionalities for creating default plots
-        # developer functionalities for creating synthetic data
-
-        n_entries = 1
-        entry_id = 1
-        if len(file_paths) == 1:
-            if file_paths[0].startswith("synthesize"):
-                synthesis_id = int(file_paths[0].replace("synthesize", ""))
-                print(f"synthesis_id {synthesis_id}")
-            else:
-                synthesis_id = 1
-            print("Create one synthetic entry in one NeXus file...")
-            synthetic = EmSpctrscpyCreateExampleData(synthesis_id)
-            synthetic.synthesize(template)
-        else:
-            print("Parse ELN and technology partner file(s)...")
-            case = EmUseCaseSelector(file_paths)
-            assert (
-                case.is_valid is True
-            ), "Such a combination of input-file(s, if any) is not supported !"
-
-            print("Parse (meta)data coming from an ELN...")
-            if case.eln_parser == "nomad-oasis":
-                nomad_oasis_eln_parser(case.eln[0], template, entry_id)
-            else:
-                print("No input file defined for eln data !")
-                return {}
-
-            print(
-                "Parse (numerical) data and metadata from technology partner files..."
-            )
-            if case.vendor_parser == "oina":
-                # oina_parser(case.vendor[0], template, entry_id)
-                return {}
-            if case.vendor_parser == "hspy":
-                hyperspy_parser(case.vendor[0], template, entry_id)
-            else:
-                print("No input-file defined for technology partner data !")
-                return {}
-
-        print("Create NeXus default plottable data...")
-        em_spctrscpy_default_plot_generator(template, n_entries)
-
-        debugging = False  # True
-        if debugging is True:
-            print("Reporting state of template before passing to HDF5 writing...")
-            for keyword in template.keys():
-                print(keyword)
-                # print(type(template[keyword]))
-                # print(template[keyword])
-
-        print("Forward instantiated template to the NXS writer...")
-        return template
-
-
-# This has to be set to allow the convert script to use this reader.
-READER = EmSpctrscpyReader
diff --git a/pynxtools/dataconverter/readers/em_spctrscpy/utils/__init__.py b/pynxtools/dataconverter/readers/em_spctrscpy/utils/__init__.py
deleted file mode 100644
index e69de29bb..000000000
diff --git a/pynxtools/dataconverter/readers/em_spctrscpy/utils/em_event_data.py b/pynxtools/dataconverter/readers/em_spctrscpy/utils/em_event_data.py
deleted file mode 100644
index e418a8365..000000000
--- a/pynxtools/dataconverter/readers/em_spctrscpy/utils/em_event_data.py
+++ /dev/null
@@ -1,147 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Representation of an NXevent_data_em class."""
-
-# pylint: disable=no-member
-
-from typing import Dict
-
-import hyperspy.api as hs
-
-from pynxtools.dataconverter.readers.em_spctrscpy.utils.em_nexus_base_classes import (
-    NxObject,
-)
-
-from pynxtools.dataconverter.readers.em_spctrscpy.utils.hspy.em_hspy_xray import (
-    NxSpectrumSetEmXray,
-)
-
-from pynxtools.dataconverter.readers.em_spctrscpy.utils.hspy.em_hspy_eels import (
-    NxSpectrumSetEmEels,
-)
-
-from pynxtools.dataconverter.readers.em_spctrscpy.utils.hspy.em_hspy_adf import (
-    NxImageSetEmAdf,
-)
-
-from pynxtools.dataconverter.file_hashing import get_file_hashvalue
-
-
-class NxEventDataEm:
-    """Representing a data collection event with a single detector.
-
-    During this data collection event, the microscope
-    was considered stable enough.
-    """
-
-    def __init__(self, file_name: str, entry_id: int):
-        self.file_name = ""
-        self.file_sha256 = ""
-        self.entry_id = entry_id
-        self.meta: Dict[str, NxObject] = {}
-        self.meta["start_time"] = NxObject("non_recoverable")
-        self.meta["end_time"] = NxObject("non_recoverable")
-        # the following list is not complete
-        # but brings an example how NXem can be used disentangle
-        # data and processing when, at a given point in time,
-        # multiple detectors have been used
-
-        if (file_name != "") and (entry_id > 0):
-            self.file_name = file_name
-            self.file_sha256 = get_file_hashvalue(self.file_name)
-
-            self.spectrum_set_em_xray = NxSpectrumSetEmXray([])
-            self.spectrum_set_em_eels = NxSpectrumSetEmEels([])
-            self.image_set_em_adf = NxImageSetEmAdf([])
-
-            self.parse_hspy_analysis_results()
-
-    def parse_hspy_analysis_results(self):
-        """Parse the individual hyperspy-specific data.
-
-        Route these respective classes of an NxEventDataEm instance.
-        """
-        hspy_objs = hs.load(self.file_name)
-        # this logic is too simplistic e.g. what if the dataset is TBs?
-        # because file_name is usually the file from the microscope session...
-
-        # developers can here switch easily one and off certain sub-parsers
-        if isinstance(hspy_objs, list):
-            print("Processing a list of hspy_objs...")
-            self.spectrum_set_em_xray = NxSpectrumSetEmXray(hspy_objs)
-            self.spectrum_set_em_eels = NxSpectrumSetEmEels(hspy_objs)
-            self.image_set_em_adf = NxImageSetEmAdf(hspy_objs)
-        else:
-            print("Converting (a single hspy obj) into a list, processing it...")
-            self.spectrum_set_em_xray = NxSpectrumSetEmXray([hspy_objs])
-            self.spectrum_set_em_eels = NxSpectrumSetEmEels([hspy_objs])
-            self.image_set_em_adf = NxImageSetEmAdf([hspy_objs])
-
-    def report(self, template: dict) -> dict:
-        """Copy data from self into template the appdef instance.
-
-        Paths in template are prefixed by prefix and have to be compliant
-        with the application definition.
-        """
-        prefix = (
-            f"/ENTRY[entry{self.entry_id}]/measurement/"
-            f"EVENT_DATA_EM[event_data_em1]/"
-        )
-
-        # now = datetime.datetime.now().astimezone().isoformat()
-        # hyperspy cannot implement per-event time stamping especially
-        # not for time-zones because time data are vendor-specifically formatted
-        # not always reported in which case hspy replaces missing vendor timestamps
-        # with system time at runtime of the script !
-
-        template[f"{prefix}start_time"] = self.meta["start_time"].value
-        template[f"{prefix}end_time"] = self.meta["end_time"].value
-        event_info = {
-            "source_file_name": self.file_name,
-            "source_file_version": self.file_sha256,
-        }
-
-        prefix = (
-            f"/ENTRY[entry{self.entry_id}]/measurement/"
-            f"EVENT_DATA_EM[event_data_em1]/"
-        )
-        # connect and compare frame_id with that of hspy
-        if self.spectrum_set_em_xray is not None:
-            if isinstance(self.spectrum_set_em_xray, NxSpectrumSetEmXray) is True:
-                self.spectrum_set_em_xray.report(prefix, 1, event_info, template)
-
-        prefix = (
-            f"/ENTRY[entry{self.entry_id}]/measurement/"
-            f"EVENT_DATA_EM[event_data_em1]/"
-        )
-        if self.spectrum_set_em_eels is not None:
-            if isinstance(self.spectrum_set_em_eels, NxSpectrumSetEmEels) is True:
-                self.spectrum_set_em_eels.report(prefix, 1, event_info, template)
-
-        prefix = (
-            f"/ENTRY[entry{self.entry_id}]/measurement/"
-            f"EVENT_DATA_EM[event_data_em1]/"
-        )
-        # connect and compare frame_id with that of hspy
-        if self.image_set_em_adf is not None:
-            if isinstance(self.image_set_em_adf, NxImageSetEmAdf) is True:
-                self.image_set_em_adf.report(prefix, 1, event_info, template)
-
-        # add generic images
-
-        return template
diff --git a/pynxtools/dataconverter/readers/em_spctrscpy/utils/em_example_data.py b/pynxtools/dataconverter/readers/em_spctrscpy/utils/em_example_data.py
deleted file mode 100644
index 4e6be394f..000000000
--- a/pynxtools/dataconverter/readers/em_spctrscpy/utils/em_example_data.py
+++ /dev/null
@@ -1,525 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Utility functions for generation of EM NeXus datasets for dev purposes."""
-
-# pylint: disable=no-member, R0801
-
-import hashlib
-
-import datetime
-
-import math
-
-import numpy as np
-
-# import matplotlib.pyplot as plt
-
-import hyperspy.api as hs
-
-from ase.data import chemical_symbols
-
-from pynxtools.dataconverter.readers.em_spctrscpy.utils.em_versioning import (
-    NX_EM_ADEF_NAME,
-    NX_EM_ADEF_VERSION,
-    NX_EM_EXEC_NAME,
-    NX_EM_EXEC_VERSION,
-)
-
-# parameter affecting reconstructed positions and size
-# default parameter
-MAX_USERS = 4
-# compose hypothetical spectrum (ignoring background)
-XRAY_ENERGY_DELTA = 0.01  # in keV
-PEAK_WIDTH_SIGMA = 0.1  # stddev in keV assumed the same for all peaks
-SIGNAL_YIELD = 1000.0  # arbitrarily assumed signal intensity
-
-
-class EmSpctrscpyCreateExampleData:
-    """A synthesized dataset meant to be used for development purposes only!."""
-
-    def __init__(self, synthesis_id):
-        # assure deterministic behaviour of the PRNG
-        np.random.seed(seed=synthesis_id)
-
-        self.n_entries = 1
-        print("Generating one random example NXem entry...")
-        self.entry_id = 1
-        self.elements_observed = []
-        self.e_axis = []
-        self.cnts_summary = []
-        # synthesizing realistic datasets for electron microscopy requires a
-        # physical model of the image formation process see e.g. Kirkland et al.
-        # for an (incomplete) view of this large topic
-        # https://doi.org/10.1007/978-3-030-33260-0
-        # we are interested in having spectra and maybe some synthesized images
-        # as this is already sufficient to explore search capabilities in e.g. NOMAD Oasis
-
-    def emulate_entry(self, template: dict) -> dict:
-        """Copy data in entry section."""
-        # print("Parsing entry...")
-        trg = f"/ENTRY[entry{self.entry_id}]/"
-        template[f"{trg}definition"] = NX_EM_ADEF_NAME
-        template[f"{trg}@version"] = NX_EM_ADEF_VERSION
-        template[f"{trg}PROGRAM[program1]/program"] = NX_EM_EXEC_NAME
-        template[f"{trg}PROGRAM[program1]/program/@version"] = NX_EM_EXEC_VERSION
-        template[f"{trg}start_time"] = datetime.datetime.now().astimezone().isoformat()
-        template[f"{trg}end_time"] = datetime.datetime.now().astimezone().isoformat()
-
-        msg = """
-              !!! WARNING: These are mocked data !!!
-              These are meant to be used exclusively
-              for verifying NOMAD search capabilities.
-              """
-        template[f"{trg}experiment_description"] = msg
-        template[f"{trg}experiment_documentation"] = "free text field"
-        experiment_identifier = str(
-            f"EM{np.random.choice(100, 1)[0]}/{np.random.choice(100000, 1)[0]}"
-        )
-        template[f"{trg}experiment_identifier"] = experiment_identifier
-
-        return template
-
-    def emulate_user(self, template: dict) -> dict:
-        """Copy data in user section."""
-        # print("Parsing user...")
-        prefix = f"/ENTRY[entry{self.entry_id}]/"
-        user_names = np.unique(
-            np.random.choice(
-                [
-                    "Sherjeel",
-                    "MarkusK",
-                    "Benedikt",
-                    "Johannes",
-                    "Gerardo",
-                    "Kristiane",
-                    "Sabine",
-                    "Sophie",
-                    "Tom",
-                    "Volker",
-                    "MarkusW",
-                    "PeterK",
-                    "Oonagh",
-                    "Annika",
-                    "ChristophP",
-                    "Thomas",
-                    "Mariano",
-                    "Tilmann",
-                    "ChristophF",
-                    "Niels",
-                    "Dieter",
-                    "Alexander",
-                    "Katharina",
-                    "Florian",
-                    "Sebastian",
-                    "Sandor",
-                    "Carola",
-                    "Chris",
-                    "Hampus",
-                    "Pepe",
-                    "Lauri",
-                    "MarkusS",
-                    "Christoph",
-                    "Claudia",
-                ],
-                1 + np.random.choice(MAX_USERS, 1),
-            )
-        )
-        user_id = 1
-        for name in user_names:
-            trg = f"{prefix}USER[user{user_id}]/"
-            template[f"{trg}name"] = str(name)
-            user_id += 1
-
-        return template
-
-    def emulate_sample(self, template: dict) -> dict:
-        """Copy data in specimen section."""
-        # check if required fields exists and are valid
-        # print("Parsing sample...")
-        trg = f"/ENTRY[entry{self.entry_id}]/sample/"
-        template[f"{trg}method"] = "simulation"
-
-        self.elements_observed = np.random.choice(
-            np.asarray(np.linspace(1, 94, num=118, endpoint=True), np.uint32),
-            1 + int(np.random.uniform(low=0, high=5)),
-        )
-        assert len(self.elements_observed) > 0, "List of assumed elements is empty!"
-        unique_elements = set()
-        for atomic_number in self.elements_observed:
-            symbol = chemical_symbols[atomic_number]
-            assert isinstance(symbol, str), "symbol is not a string!"
-            if (symbol in chemical_symbols) & (symbol != "X"):
-                unique_elements.add(symbol)
-        print(f"Unique elements are: {list(unique_elements)}")
-        template[f"{trg}atom_types"] = ", ".join(list(unique_elements))
-
-        specimen_name = (
-            f"Mocked electron microscopy specimen " f"{np.random.choice(1000, 1)[0]}"
-        )
-        template[f"{trg}name"] = specimen_name
-        template[f"{trg}sample_history"] = "n/a"
-        template[f"{trg}preparation_date"] = (
-            datetime.datetime.now().astimezone().isoformat()
-        )
-        template[f"{trg}short_title"] = specimen_name.replace(
-            "Mocked atom probe specimen ", ""
-        )
-        template[f"{trg}description"] = "n/a"
-
-        template[f"{trg}thickness"] = np.float64(
-            np.max((np.random.normal(loc=40.0, scale=5.0), 10.0))
-        )
-        template[f"{trg}thickness/@units"] = "nm"
-        # template[f"{trg}density"] = 0.  # is optional
-        # template[f"{trg}density/@units"] = "kg/m^3"
-
-        return template
-
-    def emulate_coordinate_system(self, template: dict) -> dict:
-        """Define the coordinate systems to be used."""
-        # print("Parsing coordinate system...")
-        prefix = (
-            f"/ENTRY[entry{self.entry_id}]/"
-            f"COORDINATE_SYSTEM_SET[coordinate_system_set]/"
-        )
-
-        grpnm = f"{prefix}TRANSFORMATIONS[laboratory]/"
-        cs_xyz = np.asarray(
-            [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]], np.float64
-        )
-        cs_names = ["x", "y", "z"]
-        for i in np.arange(0, 3):
-            trg = f"{grpnm}AXISNAME[{cs_names[i]}]"
-            template[trg] = cs_xyz[:, i]
-            template[f"{trg}/@offset"] = np.asarray([0.0, 0.0, 0.0], np.float64)
-            template[f"{trg}/@offset_units"] = "m"
-            template[f"{trg}/@depends_on"] = "."
-
-        msg = """
-              This way of defining coordinate systems is an example
-              how these can be defined. More discussion among members
-              of FAIRmat Area A/B/C and members of the EM community
-              plus more examples should be used to test how this
-              feature of NeXus can be used.
-              """
-        template[f"{prefix}@comment"] = msg
-
-        return template
-
-    def emulate_instrument_header(self, template: dict) -> dict:
-        """Copy data in instrument header section."""
-        # print("Parsing instrument header...")
-        trg = f"/ENTRY[entry{self.entry_id}]/em_lab/"
-        instrument_name = np.random.choice(
-            [
-                "Some ThermoFisher",
-                "Some JEOL",
-                "Some Zeiss",
-                "Some TEscan",
-                "Some Hitachi",
-            ],
-            1 + np.random.choice(1, 1),
-        )[0]
-        template[f"{trg}instrument_name"] = str(instrument_name)
-        template[f"{trg}location"] = str(
-            np.random.choice(
-                [
-                    "Berlin",
-                    "Leipzig",
-                    "Dresden",
-                    "Düsseldorf",
-                    "Aachen",
-                    "Garching",
-                    "Aachen",
-                    "Leoben",
-                    "Jülich",
-                ],
-                1 + np.random.choice(1, 1),
-            )[0]
-        )
-        trg = f"/ENTRY[entry{self.entry_id}]/em_lab/FABRICATION[fabrication]/"
-        template[f"{trg}vendor"] = instrument_name.replace("Some ", "")
-        template[f"{trg}model"] = "n/a"
-        template[f"{trg}identifier"] = str(
-            hashlib.sha256(
-                instrument_name.replace("Some ", "").encode("utf-8")
-            ).hexdigest()
-        )
-        template[f"{trg}capabilities"] = "n/a"
-
-        return template
-
-    def emulate_ebeam_column(self, template: dict) -> dict:
-        """Copy data in ebeam_column section."""
-        # print("Parsing ebeam column...")
-        prefix = f"/ENTRY[entry{self.entry_id}]/em_lab/EBEAM_COLUMN[ebeam_column]/"
-        trg = f"{prefix}electron_source/"
-
-        template[f"{trg}voltage"] = np.float64(
-            np.random.choice(np.linspace(10.0, 300.0, num=30, endpoint=True), 1)[0]
-        )
-        template[f"{trg}voltage/@units"] = "kV"
-        template[f"{trg}emitter_type"] = str(
-            np.random.choice(["thermionic", "schottky", "field_emission"], 1)[0]
-        )
-
-        # for aperture in apertures:
-        trg = f"{prefix}APERTURE_EM[aperture_em1]/"
-        template[f"{trg}value"] = np.uint32(
-            np.random.choice(np.linspace(1, 5, num=5, endpoint=True), 1)[0]
-        )
-        template[f"{trg}name"] = "aperture1"
-        template[f"{trg}description"] = "n/a"
-
-        # the above-mentioned snippet is a blue-print for lenses also...
-
-        # corrector
-        trg = f"{prefix}aberration_correction/"
-        template[f"{trg}applied"] = bool(np.random.choice([0, 1], 1)[0])
-
-        return template
-
-    def emulate_ibeam_column(self, template: dict) -> dict:
-        """Copy data in ibeam_column section."""
-        # print("Parsing ibeam column...")
-        return template
-
-    def emulate_ebeam_deflector(self, template: dict) -> dict:
-        """Copy data in ebeam_deflector section."""
-        # print("Parsing ebeam deflector...")
-        return template
-
-    def emulate_ibeam_deflector(self, template: dict) -> dict:
-        """Copy data in ibeam_deflector section."""
-        # print("Parsing ibeam deflector...")
-        return template
-
-    def emulate_optics(self, template: dict) -> dict:
-        """Copy data in optical_system_em section."""
-        # print("Parsing optics...")
-        trg = (
-            f"/ENTRY[entry{self.entry_id}]/em_lab/OPTICAL_SYSTEM_EM[optical_system_em]/"
-        )
-        template[f"{trg}beam_current_description"] = "undefined"
-        template[f"{trg}camera_length"] = np.float64(
-            np.random.normal(loc=1.0, scale=0.05)
-        )
-        template[f"{trg}camera_length/@units"] = "m"
-        template[f"{trg}magnification"] = np.float64(
-            np.random.choice([100.0, 1000.0, 10000.0, 100000.0], 1)[0]
-        )
-        template[f"{trg}defocus"] = np.float64(
-            np.random.normal(loc=1.0e-7, scale=0.1e-7)
-        )
-        template[f"{trg}defocus/@units"] = "m"
-        template[f"{trg}semi_convergence_angle"] = np.float64(
-            np.min((np.random.normal(loc=10.0, scale=1.0), 1.0))
-        )
-        template[f"{trg}semi_convergence_angle/@units"] = "degree"
-        template[f"{trg}working_distance"] = np.float64(
-            np.trunc(
-                np.random.choice(np.linspace(5.0, 20.0, num=15, endpoint=True), 1)[0]
-            )
-        )
-        template[f"{trg}working_distance/@units"] = "cm"
-        template[f"{trg}beam_current"] = np.float64(
-            np.min((np.random.normal(loc=10.0, scale=2.0), 1.0))
-        )
-        template[f"{trg}beam_current/@units"] = "pA"
-
-        return template
-
-    def emulate_detector(self, template: dict) -> dict:
-        """Copy data in detector section."""
-        # print("Parsing detector...")
-        detectors = np.unique(
-            np.random.choice(
-                ["SE", "BSE", "EBSD", "EDX", "INLINE"], 1 + np.random.choice(5, 1)
-            )
-        )
-        detector_id = 1
-        for detector in detectors:
-            trg = (
-                f"/ENTRY[entry{self.entry_id}]/em_lab/DETECTOR[detector{detector_id}]/"
-            )
-            template[f"{trg}local_name"] = str(detector)
-            detector_id += 1
-
-        return template
-
-    def emulate_stage_lab(self, template: dict) -> dict:
-        """Copy data in stage lab section."""
-        # print("Parsing stage lab...")
-        trg = f"/ENTRY[entry{self.entry_id}]/em_lab/stage_lab/"
-        stage_name = np.random.choice(
-            [
-                "side_entry",
-                "top_entry",
-                "single_tilt",
-                "quick_change",
-                "multiple_specimen",
-                "bulk_specimen",
-                "double_tilt",
-                "tilt_rotate",
-                "heating_chip",
-                "atmosphere_chip",
-                "electrical_biasing_chip",
-                "liquid_cell_chip",
-            ],
-            1,
-        )[0]
-        template[f"{trg}name"] = str(stage_name)
-        return template
-
-    def emulate_random_input_from_eln(self, template: dict) -> dict:
-        """Emulate random input as could come from an ELN."""
-        print("Parsing random input from ELN...")
-        self.emulate_entry(template)
-        self.emulate_user(template)
-        self.emulate_sample(template)
-        self.emulate_coordinate_system(template)
-        self.emulate_instrument_header(template)
-        self.emulate_ebeam_column(template)
-        self.emulate_ibeam_column(template)
-        self.emulate_ebeam_deflector(template)
-        self.emulate_ibeam_deflector(template)
-        self.emulate_optics(template)
-        self.emulate_detector(template)
-        self.emulate_stage_lab(template)
-
-        return template
-
-    def emulate_random_xray_spectrum(self, template: dict) -> dict:
-        """Emulate one event data group for Xray spectroscopy."""
-        # !! data meant exclusively to be used for verification purposes !!
-        assert len(self.elements_observed > 0), "No elements were observed !"
-        composition = np.random.uniform(
-            low=0.0, high=1.0, size=(len(self.elements_observed),)
-        )
-        composition = composition / np.sum(composition)
-        signal_contributions = []
-        idx = 0
-        # sample hypothetically X-ray lines for each element observed
-        for atomic_number in self.elements_observed:
-            symbol = chemical_symbols[atomic_number]
-            if symbol in hs.material.elements:
-                if "Atomic_properties" in hs.material.elements[symbol]:
-                    if "Xray_lines" in hs.material.elements[symbol].Atomic_properties:
-                        lines = hs.material.elements[
-                            symbol
-                        ].Atomic_properties.Xray_lines
-                        for xline_name, xline_props in lines.as_dictionary().items():
-                            # print(key + ", " + str(value["weight"]))
-                            signal_contributions.append(
-                                (
-                                    atomic_number,
-                                    symbol,
-                                    composition[idx],
-                                    xline_name,
-                                    xline_props["energy (keV)"],
-                                    xline_props["weight"],
-                                )
-                            )
-            idx += 1
-        # self.elements_observed = np.unique(symbols)
-
-        xray_energy_max = 0.0
-        for tpl in signal_contributions:
-            xray_energy_max = np.max((xray_energy_max, tpl[4]))
-        # print(xray_energy_max)
-
-        n_bins = int(
-            np.ceil(
-                (xray_energy_max + 3.0 * XRAY_ENERGY_DELTA + 1.0) / XRAY_ENERGY_DELTA
-            )
-        )  # covering [0., n_bins * XRAY_ENERGY_DELTA]
-        self.e_axis = np.linspace(
-            0.5 * XRAY_ENERGY_DELTA,
-            0.5 * XRAY_ENERGY_DELTA + n_bins * XRAY_ENERGY_DELTA,
-            num=n_bins,
-            endpoint=True,
-        )
-
-        self.cnts_summary = np.zeros((n_bins,), np.float64)
-        for tpl in signal_contributions:
-            # idx = np.abs(self.e_axis - tpl[4]).argmin()
-            # integrate analytically, assume Gaussian peak with stddev PEAK_WIDTH_SIGMA
-            cnts_tpl = np.zeros((n_bins,), np.float64)
-            for idx in np.arange(0, n_bins):
-                cnts_tpl[idx] = (
-                    SIGNAL_YIELD
-                    * tpl[2]
-                    * tpl[5]
-                    * 0.5
-                    * (
-                        math.erf(
-                            1.0
-                            / (np.sqrt(2.0) * PEAK_WIDTH_SIGMA)
-                            * (tpl[4] - (0.0 + idx * XRAY_ENERGY_DELTA))
-                        )
-                        - math.erf(
-                            1.0
-                            / (np.sqrt(2.0) * PEAK_WIDTH_SIGMA)
-                            * (tpl[4] - (XRAY_ENERGY_DELTA + idx * XRAY_ENERGY_DELTA))
-                        )
-                    )
-                )
-            self.cnts_summary = np.add(self.cnts_summary, cnts_tpl)
-        # plt.plot(self.e_axis, self.cnts_summary)
-        # plt.xlabel("energy (keV)")
-        # plt.ylabel("cnts")
-        # plt.xscale("log")
-
-        trg = (
-            f"/ENTRY[entry{self.entry_id}]/measurement/"
-            f"EVENT_DATA_EM[event_data_em1]/xray/summary/"
-        )
-        template[f"{trg}title"] = "Accumulated X-ray spectrum"
-        # template[f"{trg}@long_name"] = "Xray"
-        template[f"{trg}@signal"] = "data_counts"
-        template[f"{trg}@axes"] = ["axis_photon_energy"]
-        template[f"{trg}@AXISNAME_indices[axis_photon_energy_indices]"] = 0
-        template[f"{trg}DATA[data_counts]"] = {
-            "compress": self.cnts_summary,
-            "strength": 1,
-        }
-        template[f"{trg}DATA[data_counts]/@units"] = ""
-        template[f"{trg}DATA[data_counts]/@long_name"] = "Photon counts (1)"
-        template[f"{trg}AXISNAME[axis_photon_energy]"] = {
-            "compress": self.e_axis,
-            "strength": 1,
-        }
-        template[f"{trg}AXISNAME[axis_photon_energy]/@units"] = "keV"
-        template[
-            f"{trg}AXISNAME[axis_photon_energy]/@long_name"
-        ] = "Photon energy (keV)"
-        return template
-
-    def synthesize(self, template: dict) -> dict:
-        """Hand-over instantiated dataset to dataconverter template."""
-        for entry_id in np.arange(1, self.n_entries + 1):
-            self.entry_id = entry_id
-            print(f"Generating entry {self.entry_id}...")
-
-            # metadata
-            self.emulate_random_input_from_eln(template)
-
-            # heavy numerical data, here the synthesized "measurement" data
-            self.emulate_random_xray_spectrum(template)
-
-        return template
diff --git a/pynxtools/dataconverter/readers/em_spctrscpy/utils/em_generic_eln_io.py b/pynxtools/dataconverter/readers/em_spctrscpy/utils/em_generic_eln_io.py
deleted file mode 100644
index 2a313a707..000000000
--- a/pynxtools/dataconverter/readers/em_spctrscpy/utils/em_generic_eln_io.py
+++ /dev/null
@@ -1,414 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Parse metadata in specific custom NOMAD OASIS ELN schema to an NXem NXS."""
-
-# pylint: disable=no-member,duplicate-code
-
-import numpy as np
-
-import flatdict as fd
-
-import yaml
-
-from ase.data import chemical_symbols
-
-from pynxtools.dataconverter.readers.em_spctrscpy.utils.em_versioning import (
-    NX_EM_ADEF_NAME,
-    NX_EM_ADEF_VERSION,
-    NX_EM_EXEC_NAME,
-    NX_EM_EXEC_VERSION,
-)
-
-
-class NxEmNomadOasisElnSchemaParser:
-    """Parse eln_data.yaml dump file content generated from a NOMAD OASIS YAML.
-
-    This parser implements a design where an instance of a specific NOMAD
-    custom schema ELN template is used to fill pieces of information which
-    are typically not contained in files from technology partners
-    (e.g. bcf, emd, dm3, ...). Until now, this custom schema and
-    the NXem application definition do not use a fully harmonized vocabulary.
-    Therefore, the here hardcoded implementation is needed which maps specifically
-    named pieces of information from the custom schema instance on named fields
-    in an instance of NXem
-
-    The functionalities in this ELN YAML parser do not check if the
-    instantiated template yields an instance which is compliant NXapm.
-    Instead, this task is handled by the generic part of the dataconverter
-    during the verification of the template dictionary.
-    """
-
-    def __init__(self, file_name: str, entry_id: int):
-        print(f"Extracting data from ELN file: {file_name}")
-        if (
-            file_name.rsplit("/", 1)[-1].startswith("eln_data")
-            or file_name.startswith("eln_data")
-        ) and entry_id > 0:
-            self.entry_id = entry_id
-            self.file_name = file_name
-            with open(self.file_name, "r", encoding="utf-8") as stream:
-                self.yml = fd.FlatDict(yaml.safe_load(stream), delimiter=":")
-        else:
-            self.entry_id = 1
-            self.file_name = ""
-            self.yml = {}
-
-    def parse_entry_section(self, template: dict) -> dict:
-        """Copy data in entry section."""
-        # print("Parsing entry...")
-        trg = f"/ENTRY[entry{self.entry_id}]/"
-        src = "entry"
-        if isinstance(self.yml[src], fd.FlatDict):
-            if (self.yml[f"{src}:attr_version"] == NX_EM_ADEF_VERSION) and (
-                self.yml[f"{src}:definition"] == NX_EM_ADEF_NAME
-            ):
-                template[f"{trg}@version"] = NX_EM_ADEF_VERSION
-                template[f"{trg}definition"] = NX_EM_ADEF_NAME
-                template[f"{trg}PROGRAM[program1]/program"] = NX_EM_EXEC_NAME
-                template[
-                    f"{trg}PROGRAM[program1]/program/@version"
-                ] = NX_EM_EXEC_VERSION
-            if ("program" in self.yml[src].keys()) and (
-                "program__attr_version" in self.yml[src].keys()
-            ):
-                template[f"{trg}PROGRAM[program2]/program"] = self.yml[f"{src}:program"]
-                template[f"{trg}PROGRAM[program2]/program/@version"] = self.yml[
-                    f"{src}:program__attr_version"
-                ]
-
-        field_names = [
-            "experiment_identifier",
-            "start_time",
-            "end_time",
-            "experiment_description",
-            "experiment_documentation",
-        ]
-        for field_name in field_names:
-            if field_name in self.yml[src].keys():
-                template[f"{trg}{field_name}"] = self.yml[f"{src}:{field_name}"]
-
-        return template
-
-    def parse_user_section(self, template: dict) -> dict:
-        """Copy data in user section."""
-        # print("Parsing user...")
-        src = "user"
-        if isinstance(self.yml[src], list):
-            if len(self.yml[src]) >= 1:
-                user_id = 1
-                for user_list in self.yml[src]:
-                    char_field_names = [
-                        "name",
-                        "email",
-                        "affiliation",
-                        "address",
-                        "orcid",
-                        "orcid_platform",
-                        "telephone_number",
-                        "role",
-                        "social_media_name",
-                        "social_media_platform",
-                    ]
-
-                    trg = f"/ENTRY[entry{self.entry_id}]/USER[user{user_id}]/"
-                    for field_name in char_field_names:
-                        if field_name in user_list.keys():
-                            template[f"{trg}{field_name}"] = user_list[f"{field_name}"]
-                    user_id += 1
-
-        return template
-
-    def parse_sample_section(self, template: dict) -> dict:
-        """Copy data in sample section."""
-        # check if required fields exists and are valid
-        # print("Parsing sample...")
-        src = "sample"
-        trg = f"/ENTRY[entry{self.entry_id}]/sample/"
-        if isinstance(self.yml[src], fd.FlatDict):
-            if (isinstance(self.yml[f"{src}:atom_types"], list)) and (
-                len(self.yml[src + ":atom_types"]) >= 1
-            ):
-                atom_types_are_valid = True
-                for symbol in self.yml[f"{src}:atom_types"]:
-                    valid = (
-                        isinstance(symbol, str)
-                        and (symbol in chemical_symbols)
-                        and (symbol != "X")
-                    )
-                    if valid is False:
-                        atom_types_are_valid = False
-                        break
-                if atom_types_are_valid is True:
-                    template[f"{trg}atom_types"] = ", ".join(
-                        list(self.yml[f"{src}:atom_types"])
-                    )
-
-        char_req_field_names = ["method", "name", "sample_history", "preparation_date"]
-        for field_name in char_req_field_names:
-            if field_name in self.yml[src].keys():
-                template[f"{trg}{field_name}"] = self.yml[f"{src}:{field_name}"]
-        char_opt_field_names = ["short_title", "description"]
-        for field_name in char_opt_field_names:
-            if field_name in self.yml[src].keys():
-                template[f"{trg}{field_name}"] = self.yml[f"{src}:{field_name}"]
-
-        float_field_names = ["thickness", "density"]
-        for field_name in float_field_names:
-            if (f"{field_name}:value" in self.yml[src].keys()) and (
-                f"{field_name}:unit" in self.yml[src].keys()
-            ):
-                template[f"{trg}{field_name}"] = np.float64(
-                    self.yml[f"{src}:{field_name}:value"]
-                )
-                template[f"{trg}{field_name}/@units"] = self.yml[
-                    f"{src}:{field_name}:unit"
-                ]
-
-        return template
-
-    def parse_coordinate_system_section(self, template: dict) -> dict:
-        """Define the coordinate systems to be used."""
-        # ##MK::the COORDINATE_SYSTEM_SET section depends often on conventions
-        # which are neither explicitly documented in instances of
-        # files from technology partners nor many ELNs
-        # E.g. SEM/EBSD TSL, the specific coordinate system conventions used
-        # are defined in the famous "coin selector GUI window from TSL e.g."
-        # but these values do not get stored in technology partner files.
-        # Oxford Instruments nowadays stores coordinate systems implicitly by
-        # communicating the specification of their file format (like H5OINA)
-        # print("Parsing coordinate system...")
-        prefix = (
-            f"/ENTRY[entry{self.entry_id}]/"
-            f"COORDINATE_SYSTEM_SET[coordinate_system_set]/"
-        )
-        # this is likely not yet matching how it should be in NeXus
-        grpnm = f"{prefix}TRANSFORMATIONS[laboratory]/"
-        cs_xyz = np.asarray(
-            [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]], np.float64
-        )
-        cs_names = ["x", "y", "z"]
-        for i in np.arange(0, 3):
-            trg = f"{grpnm}AXISNAME[{cs_names[i]}]"
-            template[trg] = cs_xyz[:, i]
-            template[f"{trg}/@offset"] = np.asarray([0.0, 0.0, 0.0], np.float64)
-            template[f"{trg}/@offset_units"] = "m"
-            template[f"{trg}/@depends_on"] = "."
-
-        msg = """
-              This way of defining coordinate systems is only a small example of what
-              is possible and how it can be done. More discussion among members of
-              FAIRmat Areas A, B, C, and D and the EM community is needed !
-              """
-        template[f"{prefix}@comment"] = msg
-
-        return template
-
-    def parse_instrument_header_section(self, template: dict) -> dict:
-        """Copy data in instrument header section."""
-        # check if required fields exists and are valid
-        print("Parsing instrument header...")
-        src = "em_lab"
-        if isinstance(self.yml[src], fd.FlatDict):
-            trg = f"/ENTRY[entry{self.entry_id}]/em_lab/"
-
-            char_field_names = ["instrument_name", "location"]
-            for field_name in char_field_names:
-                if field_name in self.yml[src].keys():
-                    template[f"{trg}{field_name}"] = self.yml[f"{src}:{field_name}"]
-
-        src = "em_lab:fabrication"
-        if isinstance(self.yml[src], fd.FlatDict):
-            trg = f"/ENTRY[entry{self.entry_id}]/em_lab/FABRICATION[fabrication]/"
-            char_field_names = ["vendor", "model", "identifier", "capabilities"]
-            for field_name in char_field_names:
-                if field_name in self.yml[src].keys():
-                    template[f"{trg}{field_name}"] = self.yml[f"{src}:{field_name}"]
-
-        return template
-
-    def parse_ebeam_column_section(self, template: dict) -> dict:
-        """Copy data in ebeam_column section."""
-        # print("Parsing ebeam_column...")
-
-        src = "em_lab:ebeam_column:electron_source"
-        if isinstance(self.yml[src], fd.FlatDict):
-            trg = (
-                f"/ENTRY[entry{self.entry_id}]/em_lab/"
-                f"EBEAM_COLUMN[ebeam_column]/electron_source/"
-            )
-
-            float_field_names = ["voltage"]
-            for field_name in float_field_names:
-                if (f"{field_name}:value" in self.yml[src].keys()) and (
-                    f"{field_name}:unit" in self.yml[src].keys()
-                ):
-                    template[f"{trg}{field_name}"] = np.float64(
-                        self.yml[f"{src}:{field_name}:value"]
-                    )
-                    template[f"{trg}{field_name}/@units"] = self.yml[
-                        f"{src}:{field_name}:unit"
-                    ]
-
-            char_field_names = ["emitter_type"]
-            for field_name in char_field_names:
-                if field_name in self.yml[src].keys():
-                    template[f"{trg}{field_name}"] = self.yml[f"{src}:{field_name}"]
-
-        src = "em_lab:ebeam_column:aperture_em"
-        if isinstance(self.yml[src], list):
-            if len(self.yml[src]) >= 1:
-                aperture_id = 1
-                for aperture in self.yml[src]:
-                    trg = (
-                        f"/ENTRY[entry{self.entry_id}]/em_lab/"
-                        f"EBEAM_COLUMN[ebeam_column]/"
-                        f"APERTURE_EM[aperture_em{aperture_id}]/"
-                    )
-                    if "value" in aperture.keys():
-                        template[f"{trg}value"] = np.float64(aperture["value"])
-                    char_field_names = ["name", "description"]
-                    for field_name in char_field_names:
-                        if field_name in aperture.keys():
-                            template[f"{trg}{field_name}"] = aperture[f"{field_name}"]
-                    aperture_id += 1
-
-        # the above-mentioned snippet is a blue-print for lenses also...
-
-        # corrector_cs
-        src = "em_lab:ebeam_column:aberration_correction"
-        trg = (
-            f"/ENTRY[entry{self.entry_id}]/em_lab/"
-            f"EBEAM_COLUMN[ebeam_column]/aberration_correction/"
-        )
-        if "applied" in self.yml[src].keys():
-            template[f"{trg}applied"] = self.yml[f"{src}:applied"]
-
-        # the inject of corrector metadata is highly instrument specific, e.g.
-        # for Nion microscopes these settings are available from nionswift
-        # for ThermoFisher/FEI microscopes like the Titan there is an HTML output file
-        # from the Zemlin tableau analysis
-
-        # NEW ISSUE: support parsing of corrector data (pre2 for Thilo)
-
-        return template
-
-    def parse_ibeam_column_section(self, template: dict) -> dict:
-        """Copy data in ibeam_column section."""
-        # print("Parsing ibeam_column...")
-        return template
-
-    def parse_ebeam_deflector_section(self, template: dict) -> dict:
-        """Copy data in ebeam_deflector section."""
-        # print("Parsing ebeam_deflector...")
-        return template
-
-    def parse_ibeam_deflector_section(self, template: dict) -> dict:
-        """Copy data in ibeam_deflector section."""
-        # print("Parsing ibeam_deflector...")
-        return template
-
-    def parse_optics_section(self, template: dict) -> dict:
-        """Copy data in optical_system_em section."""
-        # print("Parsing optics...")
-        src = "em_lab:optical_system_em"
-        if isinstance(self.yml[src], fd.FlatDict):
-            trg = (
-                f"/ENTRY[entry{self.entry_id}]/em_lab/"
-                f"OPTICAL_SYSTEM_EM[optical_system_em]/"
-            )
-
-            char_field_names = ["beam_current_description"]
-            for field_name in char_field_names:
-                if field_name in self.yml[src].keys():
-                    template[f"{trg}{field_name}"] = self.yml[f"{src}:{field_name}"]
-
-            float_field_names = [
-                "camera_length",
-                "magnification",
-                "defocus",
-                "semi_convergence_angle",
-                "working_distance",
-                "beam_current",
-            ]
-            for field_name in float_field_names:
-                if (f"{field_name}:value" in self.yml[src].keys()) and (
-                    f"{field_name}:unit" in self.yml[src].keys()
-                ):
-                    template[f"{trg}{field_name}"] = np.float64(
-                        self.yml[f"{src}:{field_name}:value"]
-                    )
-                    template[f"{trg}{field_name}/@units"] = self.yml[
-                        f"{src}:{field_name}:unit"
-                    ]
-
-        return template
-
-    def parse_detector_section(self, template: dict) -> dict:
-        """Copy data in detector section."""
-        # print("Parsing detector...")
-        src = "em_lab:detector"
-        if not isinstance(self.yml[src], list):
-            return template
-
-        if len(self.yml[src]) >= 1:
-            detector_id = 1
-            for detector in self.yml[src]:
-                if isinstance(detector, dict):
-                    trg = (
-                        f"/ENTRY[entry{self.entry_id}]/em_lab/"
-                        f"DETECTOR[detector{detector_id}]/"
-                    )
-
-                    char_field_names = ["local_name"]
-                    for field_name in char_field_names:
-                        if field_name in detector.keys():
-                            template[f"{trg}{field_name}"] = detector[f"{field_name}"]
-                detector_id += 1
-
-        return template
-
-    def parse_stage_lab_section(self, template: dict) -> dict:
-        """Copy data in stage lab section."""
-        # print("Parsing stage_lab...")
-        src = "em_lab:stage_lab"
-        if isinstance(self.yml[src], fd.FlatDict):
-            trg = f"/ENTRY[entry{self.entry_id}]/em_lab/stage_lab/"
-
-            char_field_names = ["name"]
-            for field_name in char_field_names:
-                if field_name in self.yml[src].keys():
-                    template[f"{trg}{field_name}"] = self.yml[f"{src}:{field_name}"]
-
-        return template
-
-    def report(self, template: dict) -> dict:
-        """Copy data from self into template the appdef instance."""
-        self.parse_entry_section(template)
-        self.parse_user_section(template)
-        self.parse_sample_section(template)
-        self.parse_coordinate_system_section(template)
-        self.parse_instrument_header_section(template)
-        self.parse_ebeam_column_section(template)
-        self.parse_ibeam_column_section(template)
-        self.parse_ebeam_deflector_section(template)
-        self.parse_ibeam_deflector_section(template)
-        self.parse_optics_section(template)
-        self.parse_detector_section(template)
-        self.parse_stage_lab_section(template)
-
-        return template
diff --git a/pynxtools/dataconverter/readers/em_spctrscpy/utils/em_nexus_base_classes.py b/pynxtools/dataconverter/readers/em_spctrscpy/utils/em_nexus_base_classes.py
deleted file mode 100644
index daccf1021..000000000
--- a/pynxtools/dataconverter/readers/em_spctrscpy/utils/em_nexus_base_classes.py
+++ /dev/null
@@ -1,181 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""General metadata object connecting units and values for a quantity."""
-
-# pylint: disable=no-member
-
-from typing import Dict
-
-from pynxtools.dataconverter.readers.em_spctrscpy.utils.em_versioning import (
-    NX_EM_ADEF_NAME,
-    NX_EM_ADEF_VERSION,
-    NX_EM_EXEC_NAME,
-    NX_EM_EXEC_VERSION,
-)
-
-
-class NxObject:  # pylint: disable=too-few-public-methods
-    """An object in a graph e.g. a field or group in NeXus."""
-
-    def __init__(
-        self, name: str = None, unit: str = None, dtype=str, value=None, **kwargs
-    ):
-        if name is not None:
-            assert name != "", "Argument name needs to be a non-empty string !"
-        if unit is not None:
-            assert unit != "", "Argument unit needs to be a non-empty string !"
-        assert dtype is not None, "Argument dtype must not be None !"
-        if dtype is not None:
-            assert isinstance(
-                dtype, type
-            ), "Argument dtype needs a valid, ideally numpy, datatype !"
-        # ##MK::if value is not None:
-        self.is_a = "NXobject"
-        self.is_attr = False  # if True indicates object is attribute
-        self.doc = ""  # docstring
-        self.name = name  # name of the field
-        self.unit = unit  # not unit category but actual unit
-        # use special values "unitless" for NX_UNITLESS (e.g. 1) and
-        # "dimensionless" for NX_DIMENSIONLESS (e.g. 1m / 1m)
-        self.dtype = dtype  # use np.dtype if possible
-        if value is None or dtype is str:
-            self.unit = "unitless"
-        if value is not None:
-            self.value = value
-        else:
-            self.value = None
-        # value should be a numpy scalar, tensor, or string if possible
-        if "is_attr" in kwargs:
-            assert isinstance(
-                kwargs["is_attr"], bool
-            ), "Kwarg is_attr needs to be a boolean !"
-            self.is_attr = kwargs["is_attr"]
-
-    def __repr__(self):
-        """Report values."""
-        return f"""Name: {self.name}, unit: {self.unit}, dtype: {self.dtype}"""
-
-
-class NxEmUser:  # pylint: disable=too-few-public-methods
-    """An object representing a user, typically a human."""
-
-    def __init__(self):
-        self.meta: Dict[str, NxObject] = {}
-        self.meta["name"] = NxObject()
-        self.meta["affiliation"] = NxObject()
-        self.meta["address"] = NxObject()
-        self.meta["email"] = NxObject()
-        self.meta["orcid"] = NxObject()
-        self.meta["telephone_number"] = NxObject()
-        self.meta["role"] = NxObject()
-        self.meta["social_media_name"] = NxObject()
-        self.meta["social_media_platform"] = NxObject()
-
-    def report(self, prefix: str, template: dict) -> dict:
-        """Copy data from self into template the appdef instance.
-
-        Paths in template are prefixed by prefix and have to be compliant
-        with the application definition.
-        """
-        template[f"{prefix}/address"] = self.meta["address"].value
-        template[f"{prefix}/affiliation"] = self.meta["affiliation"].value
-        template[f"{prefix}/email"] = self.meta["email"].value
-        template[f"{prefix}/name"] = self.meta["name"].value
-        template[f"{prefix}/orcid"] = self.meta["orcid"].value
-        template[f"{prefix}/role"] = self.meta["role"].value
-        template[f"{prefix}/social_media_name"] = self.meta["social_media_name"].value
-        template[f"{prefix}/social_media_platform"] = self.meta[
-            "social_media_platform"
-        ].value
-        template[f"{prefix}/telephone_number"] = self.meta["telephone_number"].value
-        return template
-
-
-class NxEmSample:  # pylint: disable=too-few-public-methods
-    """An object representing a sample."""
-
-    def __init__(self):
-        self.meta: Dict[str, NxObject] = {}
-        self.meta["method"] = NxObject(value="experimental")
-        self.meta["name"] = NxObject()
-        self.meta["sample_history"] = NxObject()
-        self.meta["preparation_date"] = NxObject()
-        self.meta["short_title"] = NxObject()
-        self.meta["atom_types"] = NxObject(value=[])
-        self.meta["thickness"] = NxObject()
-        self.meta["description"] = NxObject()
-
-    def report(self, prefix: str, template: dict) -> dict:
-        """Copy data from self into template the appdef instance.
-
-        Paths in template are prefixed by prefix and have to be compliant
-        with the application definition.
-        """
-        template[f"{prefix}/method"] = self.meta["method"].value
-        template[f"{prefix}/name"] = self.meta["name"].value
-        template[f"{prefix}/sample_history"] = self.meta["sample_history"].value
-        template[f"{prefix}/preparation_date"] = self.meta["preparation_date"].value
-        template[f"{prefix}/short_title"] = self.meta["short_title"].value
-        template[f"{prefix}/atom_types"] = self.meta["atom_types"].value
-        template[f"{prefix}/thickness"] = self.meta["thickness"].value
-        template[f"{prefix}/thickness/@units"] = self.meta["thickness"].unit
-        template[f"{prefix}/description"] = self.meta["description"].value
-        return template
-
-
-class NxEmAppDefHeader:  # pylint: disable=too-few-public-methods
-    """An object representing the typical header of nexus-fairmat appdefs."""
-
-    def __init__(self):
-        self.meta: Dict[str, NxObject] = {}
-        self.meta["version"] = NxObject(value=NX_EM_ADEF_VERSION, is_attr=True)
-        self.meta["definition"] = NxObject(value=NX_EM_ADEF_NAME)
-        self.meta["experiment_identifier"] = NxObject()
-        self.meta["experiment_description"] = NxObject()
-        self.meta["start_time"] = NxObject()
-        self.meta["end_time"] = NxObject()
-        self.meta["program"] = NxObject(value=NX_EM_EXEC_NAME)
-        self.meta["program_version"] = NxObject(value=NX_EM_EXEC_VERSION, is_attr=True)
-        self.meta["experiment_documentation"] = NxObject()
-        self.meta["thumbnail"] = NxObject()
-        self.meta["thumbnail_type"] = NxObject()
-
-    def report(self, prefix: str, template: dict) -> dict:
-        """Copy data from self into template the appdef instance.
-
-        Paths in template are prefixed by prefix and have to be compliant
-        with the application definition.
-        """
-        template[f"{prefix}/@version"] = self.meta["version"].value
-        template[f"{prefix}/definition"] = self.meta["definition"].value
-        template[f"{prefix}/experiment_identifier"] = self.meta[
-            "experiment_identifier"
-        ].value
-        template[f"{prefix}/experiment_description"] = self.meta[
-            "experiment_description"
-        ].value
-        template[f"{prefix}/start_time"] = self.meta["start_time"].value
-        template[f"{prefix}/end_time"] = self.meta["end_time"].value
-        template[f"{prefix}/program"] = self.meta["program"].value
-        template[f"{prefix}/program/@version"] = self.meta["program_version"].value
-        template[f"{prefix}/experiment_documentation"] = self.meta[
-            "experiment_documentation"
-        ].value
-        template[f"{prefix}/thumbnail"] = self.meta["thumbnail"].value
-        template[f"{prefix}/thumbnail/@type"] = self.meta["thumbnail_type"].value
-        return template
diff --git a/pynxtools/dataconverter/readers/em_spctrscpy/utils/em_nexus_plots.py b/pynxtools/dataconverter/readers/em_spctrscpy/utils/em_nexus_plots.py
deleted file mode 100644
index c6f5b4a69..000000000
--- a/pynxtools/dataconverter/readers/em_spctrscpy/utils/em_nexus_plots.py
+++ /dev/null
@@ -1,193 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Parser for adding default plots and path to them to template."""
-
-# pylint: disable=no-member
-
-import numpy as np
-
-# ##MK::for EDS use the spectrum stack, the more generic, the more complex
-# ##MK::the logic has to be to infer a default plottable
-# when using hyperspy and EDS data, the path to the default plottable
-# should point to an existent plot, in this example we use the
-# NxSpectrumSetEmXray stack_data instance in the first event ...
-# default plot selection preference in decreasing order of relevance
-# ebsd > xray > eels > adf > bse, se
-# spectrum_set_ebsd: ipf > overview > stack
-# spectrum_set_xray: stack > summary > overview
-# spectrum_set_eels: stack > summary > overview
-# image_set_adf: overview
-# image_set_se/bse: overview
-
-
-def xray_plot_available(template: dict, entry_id: int) -> bool:
-    """Choose a preferred NXdata/data instance for Xray."""
-    entry_name = f"entry{entry_id}"
-    trg = f"/ENTRY[{entry_name}]/measurement/" f"EVENT_DATA_EM[event_data_em1]/xray/"
-
-    path = ""
-    if f"{trg}stack/DATA[data_counts]" in template.keys():
-        assert isinstance(
-            template[f"{trg}stack/DATA[data_counts]"]["compress"], np.ndarray
-        ), "EDS data stack not existent!"
-        path = "stack"
-    if f"{trg}summary/DATA[data_counts]" in template.keys():
-        assert isinstance(
-            template[f"{trg}summary/DATA[data_counts]"]["compress"], np.ndarray
-        ), "EDS data summary not existent!"
-        path = "summary"
-
-    if path != "":
-        print(f"Found xray default plot for {entry_name} at {path}")
-        trg = "/"
-        template[f"{trg}@default"] = entry_name
-        trg = f"/ENTRY[{entry_name}]/"
-        template[f"{trg}@default"] = "measurement"
-        trg += "measurement/"
-        template[f"{trg}@default"] = "event_data_em1"
-        trg += "EVENT_DATA_EM[event_data_em1]/"
-        template[f"{trg}@default"] = "xray"
-        trg += "xray/"
-        template[f"{trg}@default"] = path
-        return True
-
-    return False
-
-
-def eels_plot_available(template: dict, entry_id: int) -> bool:
-    """Choose a preferred NXdata/data instance for EELS."""
-    entry_name = f"entry{entry_id}"
-    trg = f"/ENTRY[{entry_name}]/measurement/" f"EVENT_DATA_EM[event_data_em1]/eels/"
-
-    path = ""
-    if f"{trg}stack/DATA[data_counts]" in template.keys():
-        assert isinstance(
-            template[f"{trg}stack/DATA[data_counts]"]["compress"], np.ndarray
-        ), "EELS data stack not existent!"
-        path = "stack"
-    if f"{trg}summary/DATA[data_counts]" in template.keys():
-        assert isinstance(
-            template[f"{trg}summary/DATA[data_counts]"]["compress"], np.ndarray
-        ), "EELS data summary not existent!"
-        path = "summary"
-
-    if path != "":
-        print(f"Found eels default plot for {entry_name} at {path}")
-        trg = "/"
-        template[f"{trg}@default"] = entry_name
-        trg = f"/ENTRY[{entry_name}]/"
-        template[f"{trg}@default"] = "measurement"
-        trg += "measurement/"
-        template[f"{trg}@default"] = "event_data_em1"
-        trg += "EVENT_DATA_EM[event_data_em1]/"
-        template[f"{trg}@default"] = "eels"
-        trg += "eels/"
-        template[f"{trg}@default"] = path
-        return True
-
-    return False
-
-
-def adf_plot_available(template: dict, entry_id: int) -> bool:
-    """Choose a preferred NXdata/data instance for ADF."""
-    entry_name = f"entry{entry_id}"
-    trg = f"/ENTRY[{entry_name}]/measurement/" f"EVENT_DATA_EM[event_data_em1]/adf/"
-
-    path = ""
-    if f"{trg}stack/DATA[data_counts]" in template.keys():
-        assert isinstance(
-            template[f"{trg}stack/DATA[data_counts]"]["compress"], np.ndarray
-        ), "ADF data stack not existent!"
-        path = "stack"
-
-    if path != "":
-        print(f"Found adf default plot for entry {entry_name} at {path}")
-        trg = "/"
-        template[f"{trg}@default"] = entry_name
-        trg = f"/ENTRY[{entry_name}]/"
-        template[f"{trg}@default"] = "measurement"
-        trg += "measurement/"
-        template[f"{trg}@default"] = "event_data_em1"
-        trg += "EVENT_DATA_EM[event_data_em1]/"
-        template[f"{trg}@default"] = "adf"
-        trg += "adf/"
-        template[f"{trg}@default"] = path
-        return True
-
-    return False
-
-
-def image_plot_available(template: dict, entry_id: int) -> bool:
-    """Choose a preferred NXdata/data instance for generic image."""
-    entry_name = f"entry{entry_id}"
-    trg = (
-        f"/ENTRY[{entry_name}]/measurement/EVENT_DATA_EM[event_data_em1]/"
-        f"IMAGE_SET[image_set1]/"
-    )
-
-    path = ""
-    if f"{trg}DATA[stack]/data_counts" in template.keys():
-        assert isinstance(
-            template[f"{trg}DATA[stack]/data_counts"]["compress"], np.ndarray
-        ), "Generic image data stack not existent!"
-        path = "stack"
-
-    if path != "":
-        print(f"Found image default plot for {entry_name} at {path}")
-        trg = "/"
-        template[f"{trg}@default"] = entry_name
-        trg = f"/ENTRY[{entry_name}]/"
-        template[f"{trg}@default"] = "measurement"
-        trg += "measurement/"
-        template[f"{trg}@default"] = "event_data_em1"
-        trg += "EVENT_DATA_EM[event_data_em1]/"
-        template[f"{trg}@default"] = "image_set1"
-        trg += "IMAGE_SET[image_set1]/"
-        template[f"{trg}@default"] = path
-        return True
-
-    return False
-
-
-def em_spctrscpy_default_plot_generator(
-    template: dict, n_entries: int
-) -> dict:  # ignore:R0915
-    """For a valid NXS file at least one default plot is required."""
-
-    for entry_id in np.arange(1, n_entries + 1):
-        # by convention showing always the first entry of an NXevent_data_em
-
-        # add ebsd
-
-        if xray_plot_available(template, entry_id) is True:
-            continue
-
-        if eels_plot_available(template, entry_id) is True:
-            continue
-
-        if adf_plot_available(template, entry_id) is True:
-            continue
-
-        # add bse, se
-
-        if image_plot_available(template, entry_id) is True:
-            continue
-
-        print(f"WARNING: No path to a default plot found for entry{entry_id} !")
-
-    return template
diff --git a/pynxtools/dataconverter/readers/em_spctrscpy/utils/em_use_case_selector.py b/pynxtools/dataconverter/readers/em_spctrscpy/utils/em_use_case_selector.py
deleted file mode 100644
index 0f5309cb1..000000000
--- a/pynxtools/dataconverter/readers/em_spctrscpy/utils/em_use_case_selector.py
+++ /dev/null
@@ -1,93 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Utility class to analyze which vendor/community files are passed to em reader."""
-
-# pylint: disable=no-member,duplicate-code
-
-from typing import Tuple, Dict, List
-
-
-class EmUseCaseSelector:  # pylint: disable=too-few-public-methods
-    """Decision maker about what needs to be parsed given arbitrary input.
-
-    Users might invoke this dataconverter with arbitrary input, no input, or
-    too much input. The UseCaseSelector decide what to do in each case.
-    """
-
-    def __init__(self, file_paths: Tuple[str] = None):
-        """Initialize the class.
-
-        dataset injects numerical data and metadata from an analysis.
-        eln injects additional metadata and eventually numerical data.
-        """
-        self.case: Dict[str, list] = {}
-        self.vendor_parser = "none"
-        self.vendor: List[str] = []
-        self.eln: List[str] = []
-        self.eln_parser = "none"
-        self.is_valid = False
-        self.supported_mime_types = ["bcf", "emd", "dm3", "h5oina", "yaml", "yml"]
-        for mime_type in self.supported_mime_types:
-            self.case[mime_type] = []
-        for file_name in file_paths:
-            index = file_name.lower().rfind(".")
-            if index >= 0:
-                suffix = file_name.lower()[index + 1 : :]
-                add = (suffix in self.supported_mime_types) and (
-                    file_name not in self.case[suffix]
-                )
-                if add is True:
-                    self.case[suffix].append(file_name)
-        # the em reader currently supports a combination of one vendor file and
-        # one ELN/YAML file, vendor files can come from different microscopes
-        # which requires to distinguish between which reader has to be used
-        # the OxfordInstrument reader for H5OINA
-        # or the HyperSpy reader for Bruker BCF, Velox EMD, or Digital Micrograph DM3
-        oina_input = 0
-        for mime_type, value in self.case.items():
-            if mime_type in ["h5oina"]:
-                oina_input += len(value)
-        hspy_input = 0
-        for mime_type, value in self.case.items():
-            if mime_type in ["bcf", "dm3", "emd"]:
-                hspy_input += len(value)
-
-        assert (oina_input == 1) or (
-            hspy_input == 1
-        ), "Currently the reader supports to have only one vendor input file!"
-        if oina_input == 1:
-            self.vendor += self.case["h5oina"]
-            self.vendor_parser = "oina"
-        if hspy_input == 1:
-            for mime_type in ["bcf", "emd", "dm3"]:
-                self.vendor += self.case[mime_type]
-                self.vendor_parser = "hspy"
-
-        eln_input = len(self.case["yaml"]) + len(self.case["yml"])
-        assert (
-            eln_input == 1
-        ), "Currently the reader supports to have only one YAML input-file!"
-
-        for mime_type in ["yaml", "yml"]:
-            self.eln += self.case[mime_type]
-            self.eln_parser = "nomad-oasis"
-
-        self.is_valid = True
-
-
-# test = EmUseCaseSelector(("a.bcf", "b.yaml", "c.apt", "d.h5oina"))
diff --git a/pynxtools/dataconverter/readers/em_spctrscpy/utils/em_versioning.py b/pynxtools/dataconverter/readers/em_spctrscpy/utils/em_versioning.py
deleted file mode 100644
index 5ad44ec51..000000000
--- a/pynxtools/dataconverter/readers/em_spctrscpy/utils/em_versioning.py
+++ /dev/null
@@ -1,31 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Utility tool constants and versioning."""
-
-# pylint: disable=no-member
-
-from pynxtools.dataconverter.readers.shared.shared_utils import get_repo_last_commit
-
-
-NX_EM_ADEF_NAME = "NXem"
-NX_EM_ADEF_VERSION = (
-    "nexus-fairmat-proposal successor of " "9636feecb79bb32b828b1a9804269573256d7696"
-)
-# based on https://fairmat-experimental.github.io/nexus-fairmat-proposal
-NX_EM_EXEC_NAME = "dataconverter/reader/em_sptrscpy/reader.py"
-NX_EM_EXEC_VERSION = get_repo_last_commit()
diff --git a/pynxtools/dataconverter/readers/em_spctrscpy/utils/hspy/em_hspy_adf.py b/pynxtools/dataconverter/readers/em_spctrscpy/utils/hspy/em_hspy_adf.py
deleted file mode 100644
index 085e10754..000000000
--- a/pynxtools/dataconverter/readers/em_spctrscpy/utils/hspy/em_hspy_adf.py
+++ /dev/null
@@ -1,258 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Classes representing groups with NeXus-ish formatted data parsed from hspy."""
-
-# pylint: disable=no-member
-
-from typing import Dict
-
-import numpy as np
-
-import hyperspy.api as hs
-
-from pynxtools.dataconverter.readers.em_spctrscpy.utils.em_nexus_base_classes import (
-    NxObject,
-)
-
-
-class HspyRectRoiAdfImage:
-    """Representing a stack of annular dark field image(s) with metadata."""
-
-    def __init__(self, hspy_clss):
-        self.meta: Dict[str, NxObject] = {}
-        self.meta["long_name"] = NxObject()
-        self.meta["intensity"] = NxObject()
-        self.meta["image_id"] = NxObject()
-        self.meta["xpos"] = NxObject()
-        self.meta["xpos_long_name"] = NxObject()
-        self.meta["ypos"] = NxObject()
-        self.meta["ypos_long_name"] = NxObject()
-        self.is_valid = True
-
-        self.is_supported(hspy_clss)
-        self.parse(hspy_clss)
-
-    def is_supported(self, hspy_s2d):
-        """Check if the input has supported axes_manager and key metadata."""
-        assert (
-            hspy_s2d.metadata["Signal"]["signal_type"] == ""
-        ), "hspy_s2d is not a valid hyperspy generic instance !"
-        assert hspy_s2d.data.ndim == 2, "hspy_s2d is not a valid 2D dataset !"
-        axes_dict = hspy_s2d.axes_manager.as_dictionary()
-        required_axis_names = ["axis-0", "axis-1"]
-        for req_key in required_axis_names:
-            assert req_key in axes_dict.keys(), (
-                req_key + " is unexpectedly not registered in the axes_manager !"
-            )
-        required_keywords = ["_type", "name", "units", "size", "scale", "offset"]
-        avail_axis_names = []
-        for keyword in axes_dict.keys():
-            for req_key in required_keywords:  # check if all required keys exist
-                assert req_key in axes_dict[keyword].keys(), (
-                    "hspy_s2d axis " + keyword + " lacks " + req_key + " !"
-                )
-            assert axes_dict[keyword]["_type"] == "UniformDataAxis", (
-                keyword + ", this axis is not of type UniformDataAxis !"
-            )
-            avail_axis_names.append(axes_dict[keyword]["name"])
-
-        axes_as_expected_emd = np.all(np.sort(avail_axis_names) == np.sort(["y", "x"]))
-        axes_as_expected_bcf = np.all(
-            np.sort(avail_axis_names) == np.sort(["height", "width"])
-        )
-        # ##MK::Adrien/Cecile"s BCF and EMD example contains at least one
-        # such case where the hyperspy created view in metadata is not
-        # consistent across representations generated with different parsers
-        # this demands adaptive strategies like the one above
-        # in the example e.g. the Bruker HAADF image stores dimensions
-        # as height and width, while digital micrograph and Velox EMD store
-        # y and x... both names are useless without a coordinate system
-        # so here discussions with vendors, hspy developers and community are
-        # needed!
-        if (axes_as_expected_emd is False) and (axes_as_expected_bcf is False):
-            print(f"\tIn function {__name__} as expected")
-            self.is_valid = False
-
-    def parse(self, hspy_s2d):
-        """Parse a hyperspy Signal2D instance into an NX default plottable."""
-        # self.long_name.value = hspy_s2d.metadata["Signal"]["signal_type"]
-        if self.is_valid is False:
-            pass
-        print(f"\tIn function {__name__}")
-        self.meta["long_name"].value = hspy_s2d.metadata["General"]["title"]
-        self.meta["intensity"].value = hspy_s2d.data  # hspy uses numpy and adapts ??
-        axes_dict = hspy_s2d.axes_manager.as_dictionary()
-        for keyword in axes_dict.keys():
-            offset = np.float64(axes_dict[keyword]["offset"])
-            scale = np.float64(axes_dict[keyword]["scale"])
-            size = np.uint32(axes_dict[keyword]["size"])
-            unit = str(axes_dict[keyword]["units"])
-            y_axis = (axes_dict[keyword]["name"] == "y") or (
-                axes_dict[keyword]["name"] == "height"
-            )
-            x_axis = (axes_dict[keyword]["name"] == "x") or (
-                axes_dict[keyword]["name"] == "width"
-            )
-            if y_axis is True:
-                assert axes_dict[keyword]["_type"] == "UniformDataAxis", (
-                    keyword + ", this x axis is not of type UniformDataAxis !"
-                )
-                self.meta["ypos"].value = np.asarray(
-                    np.linspace(0.0, np.float64(size) * scale, num=size, endpoint=True)
-                    + offset / 2.0,
-                    np.float64,
-                )
-                self.meta["ypos"].unit = unit
-                self.meta["ypos_long_name"].value = "y"  # ##MK::name y always!
-            if x_axis is True:
-                assert axes_dict[keyword]["_type"] == "UniformDataAxis", (
-                    keyword + ", this y axis is not of type UniformDataAxis !"
-                )
-                self.meta["xpos"].value = np.asarray(
-                    np.linspace(0.0, np.float64(size) * scale, num=size, endpoint=True)
-                    + offset / 2.0,
-                    np.float64,
-                )
-                self.meta["xpos"].unit = unit
-                self.meta["xpos_long_name"].value = "x"  # ##MK::name x always!
-            # ##MK::improve case handling
-        self.is_valid = True
-
-
-class NxImageSetEmAdf:
-    """Representing a set of (HA)ADF images with metadata."""
-
-    def __init__(self, hspy_list):
-        self.meta: Dict[str, NxObject] = {}
-        self.meta["program"] = NxObject()
-        self.meta["program_version"] = NxObject(is_attr=True)
-        self.meta["adf_inner_half_angle"] = NxObject()
-        self.meta["adf_outer_half_angle"] = NxObject()
-        # an NXdata object, here represented as an instance of HspyRectRoiAdfImage
-        self.data = []
-        self.is_valid = True
-
-        self.is_an_implemented_case(hspy_list)
-        self.parse_hspy_instances(hspy_list)
-
-    def is_an_implemented_case(self, hspy_list):
-        """Check if signal instances in a list is a supported combination."""
-        # an Xray analysis which this implementation can support needs to be
-        # a rectangular ROI. This ROI should have one HAADF overview image
-        # one SpectraStack cnts = f(y, x, energy)
-        # one accumulated "sum" spectra cnts = f(energy)
-        # an arbitrary number of single element X-ray maps cnts = f(y, x)
-        cardinality_adf = 0
-        for hspy_clss in hspy_list:
-            if isinstance(hspy_clss, hs.signals.Signal2D) is True:
-                if hspy_clss.metadata["General"]["title"] == "HAADF":
-                    cardinality_adf += 1
-        if cardinality_adf != 1:
-            self.is_valid = False
-
-    def parse_hspy_instances(self, hspy_list):
-        """Extract hspy class instances.
-
-        These have to be mappable on NXem base classes
-        if these are understood by NOMAD OASIS.
-        """
-        if self.is_valid is False:
-            pass
-        print(f"\tIn function {__name__}")
-        for hspy_clss in hspy_list:
-            if isinstance(hspy_clss, hs.signals.Signal2D) is True:
-                ndim = hspy_clss.data.ndim
-                if ndim == 2:
-                    if hspy_clss.metadata["General"]["title"] == "HAADF":
-                        self.data.append(HspyRectRoiAdfImage(hspy_clss))
-                        # if self.data[-1].is_valid is False:
-                        #     self.is_valid = False
-
-    def report(self, prefix: str, frame_id: int, ifo: dict, template: dict) -> dict:
-        """Enter data from the NX-specific representation into the template."""
-        if self.is_valid is False:
-            print(f"\tIn function {__name__} reporting nothing!")
-            return template
-        print(f"\tIn function {__name__} reporting...")
-        assert (len(self.data) >= 0) and (
-            len(self.data) <= 1
-        ), "More than one spectrum stack is currently not supported!"
-
-        if len(self.data) == 1:
-            trg = f"{prefix}adf/PROCESS[process1]/"
-            template[f"{trg}PROGRAM[program1]/program"] = "hyperspy"
-            template[f"{trg}PROGRAM[program1]/program/@version"] = hs.__version__
-            template[f"{trg}mode"] = "n/a"
-            template[f"{trg}detector_identifier"] = "n/a"
-            template[f"{trg}source"] = ifo["source_file_name"]
-            template[f"{trg}source/@version"] = ifo["source_file_version"]
-
-            # MISSING_DATA_MSG = "not in hspy metadata case specifically in original_metadata"
-            # ##MK::!!!!!
-            # ##MK::how to communicate that these data do not exist?
-            # template[f"{trg}adf_outer_half_angle"] = np.float64(0.)
-            # template[f"{trg}adf_outer_half_angle/@units"] = "rad"
-            # template[f"{trg}adf_inner_half_angle"] = np.float64(0.)
-            # template[f"{trg}adf_inner_half_angle/@units"] = "rad"
-
-            trg = f"{prefix}adf/stack/"
-            template[f"{trg}title"] = "Annular dark field image stack"
-            # template[f"{trg}@long_name"] = self.data[0].meta["long_name"].value
-            template[f"{trg}@signal"] = "data_counts"
-            template[f"{trg}@axes"] = ["axis_image_identifier", "axis_y", "axis_x"]
-            template[f"{trg}@AXISNAME[axis_x_indices]"] = np.uint32(2)
-            template[f"{trg}@AXISNAME[axis_y_indices]"] = np.uint32(1)
-            template[f"{trg}@AXISNAME[axis_image_identifier]"] = np.uint32(0)
-            template[f"{trg}DATA[data_counts]"] = {
-                "compress": np.reshape(
-                    np.atleast_3d(self.data[0].meta["intensity"].value),
-                    (
-                        1,
-                        np.shape(self.data[0].meta["intensity"].value)[0],
-                        np.shape(self.data[0].meta["intensity"].value)[1],
-                    ),
-                ),
-                "strength": 1,
-            }
-            # is the data layout correct?
-            # I am pretty sure the last two have to be swopped also!!
-            template[f"{trg}DATA[data_counts]/@long_name"] = "Counts (a.u.)"
-            template[f"{trg}AXISNAME[axis_x]"] = {
-                "compress": self.data[0].meta["xpos"].value,
-                "strength": 1,
-            }
-            template[f"{trg}AXISNAME[axis_x]/@units"] = self.data[0].meta["xpos"].unit
-            template[
-                f"{trg}AXISNAME[axis_x]/@long_name"
-            ] = f"x ({self.data[0].meta['xpos'].unit})"
-            template[f"{trg}AXISNAME[axis_y]"] = {
-                "compress": self.data[0].meta["ypos"].value,
-                "strength": 1,
-            }
-            template[f"{trg}AXISNAME[axis_y]/@units"] = self.data[0].meta["ypos"].unit
-            template[
-                f"{trg}AXISNAME[axis_y]/@long_name"
-            ] = f"y ({self.data[0].meta['ypos'].unit})"
-            template[f"{trg}AXISNAME[axis_image_identifier]"] = np.atleast_1d(
-                np.uint32(frame_id)
-            )
-            template[
-                f"{trg}AXISNAME[axis_image_identifier]/@long_name"
-            ] = "image identifier"
-
-        return template
diff --git a/pynxtools/dataconverter/readers/em_spctrscpy/utils/hspy/em_hspy_comments.py b/pynxtools/dataconverter/readers/em_spctrscpy/utils/hspy/em_hspy_comments.py
deleted file mode 100644
index cc0f5a2f3..000000000
--- a/pynxtools/dataconverter/readers/em_spctrscpy/utils/hspy/em_hspy_comments.py
+++ /dev/null
@@ -1,90 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Developer comments."""
-
-# pylint: disable=no-member
-
-
-# ISSUE WITH HSPY DEFAULTS FOR MISSING VENDOR DOCS CAUSING NON-REPRODUCIBLE tSTAMPS
-# already the example with Adrien Teutrie's *.emd file shows
-# that the intended start_time and end_time as required by the appdef
-# are practically not reliable because, tested for hyperspy==1.7.1,
-# the times which are injected into the hyperspy metainfo object by the emd
-# i/o routine are substantially relying on default rules. An example:
-# First hyperspy asks FEI for an AcquisitionStartDatetime
-# which is what intuitively one would consider as the relevant time
-# however, if this metadata key is not included in the *.emd file,
-# hyperspy just adds for "convenience" the local system time!
-# however, this retrieval of the local system time depends heavily on
-# which version of the underlying libraries and operation system is used !
-# in a nutshell, what we ideally want is, to phrase it with python's
-# datetime package "time-zone-aware" objects to interact with and convert
-# times properly into one another
-# https://www.bloomberg.com/company/stories/work-dates-time-python/
-# but this is not what we face unfortunately, so consequently the parser
-# should leave the field marked with a note that the relevant time
-# was not reliably retrievable to avoid a potential proliferation of
-# mistakes down the analysis pipeline
-
-# this makes clear that to interpret and reproduce the content which
-# an emd reader creates on a given emd file, the results will be different
-# on different computers simply already because of these silent defaults
-# so strictly speaking one would have to run the parser inside a
-# container in the nomad oasis and not on the local host machine as if
-# one would do usually with somebody having a local instance of an oasis
-# and thus this local oasis would be used the local operating system and
-# installation to retrieve the start time and end time data from
-
-# from datetime import datetime
-# import pytz
-# timezone = pytz.timezone(dct["General"]['time_zone'])
-# from dateutil import tz
-# from dateutil.tz import *
-# from datetime import *
-# tz.tzlocal().tzname(datetime.today())
-# see KabulTz example here https://docs.python.org/3/library/datetime.html
-
-
-# ISSUES WITH ROUTING RAW and PROCESSED (META)DATA to SPECIFIC tSTAMPED HIERARCHIES
-# ##MK::the key question is how parsable content
-# (clss instances) from a hyperspy run stand in relation?
-# for instance if we load a vendor file and hspy spits out
-# it contains a HAADF, a sum EDS spectrum, and a EDS spectrum stack
-# can we safely assume that these images have been taken
-# in the same event? i.e. can we consider that the microscope
-# was able enough when the HAADF was taken and thereafter
-# the user acquired the spectrum/(a)? In general we cannot assume
-# that this is the case. However, hyperspy implies that
-# this is the case, given that hspy can in many cases simply
-# also not build on or even parse timestamps and interpret them
-# consequently, all we get is a specific view of the experiment and
-# some key steps and metadata to its processing
-# in summary, NXem is much more general than what is commonly
-# available via interoperability improving tools like hyperspy
-
-# These points substantiate that two key ingredients are missing
-# a proper time(stamp) tracking of actions on the microscope and a
-# agreed upon documented! format how to understand these time stamps
-#   of course eventually anonymized wrt to who was the user
-#   but at least a clear statement when these were taken
-# a proper and much more detailed documentation of the
-#   vendor file formats and their relation to the software library
-#   which and when in which context the tool was running
-#   so that hspy devlopers can extract
-#   these time stamps and use them to route the data
-#   into more useful interoperable respective places.
diff --git a/pynxtools/dataconverter/readers/em_spctrscpy/utils/hspy/em_hspy_eels.py b/pynxtools/dataconverter/readers/em_spctrscpy/utils/hspy/em_hspy_eels.py
deleted file mode 100644
index 8c890e40d..000000000
--- a/pynxtools/dataconverter/readers/em_spctrscpy/utils/hspy/em_hspy_eels.py
+++ /dev/null
@@ -1,357 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Classes representing groups with NeXus-ish formatted data parsed from hspy."""
-
-# pylint: disable=no-member
-
-from typing import Dict
-
-import numpy as np
-
-import hyperspy.api as hs
-
-from pynxtools.dataconverter.readers.em_spctrscpy.utils.em_nexus_base_classes import (
-    NxObject,
-)
-
-
-class HspyRectRoiEelsAllSpectra:
-    """Representing a regular stack of EELS spectra over a rectangular ROI."""
-
-    def __init__(self, hspy_clss):
-        self.meta: Dict[str, NxObject] = {}
-        self.meta["program"] = NxObject(value="hyperspy")
-        self.meta["program_version"] = NxObject(value=hs.__version__)
-        self.meta["title"] = NxObject()
-        self.meta["long_name"] = NxObject()  # value="counts")
-        self.meta["counts"] = NxObject()
-        self.meta["xpos"] = NxObject()
-        self.meta["xpos_long_name"] = NxObject()
-        self.meta["ypos"] = NxObject()
-        self.meta["ypos_long_name"] = NxObject()
-        self.meta["energy_loss"] = NxObject()
-        self.meta["energy_loss_long_name"] = NxObject()
-        # value="Electron energy loss")
-        self.is_valid = True
-
-        self.is_supported(hspy_clss)
-        self.parse(hspy_clss)
-
-    def is_supported(self, hspy_s3d):
-        """Check if the input has supported axes_manager and key metadata."""
-        assert (
-            hspy_s3d.metadata["Signal"]["signal_type"] == "EELS"
-        ), "hspy_s3d is not a valid EELS hyperspy instance !"
-        assert hspy_s3d.data.ndim == 3, "hspy_s3d is not a valid 3D dataset !"
-        axes_dict = hspy_s3d.axes_manager.as_dictionary()
-        required_axis_names = ["axis-0", "axis-1", "axis-2"]
-        for req_key in required_axis_names:
-            assert req_key in axes_dict.keys(), (
-                req_key + " is unexpectedly not registered in the axes_manager !"
-            )
-        required_keywords = ["_type", "name", "units", "size", "scale", "offset"]
-        avail_axis_names = []
-        for keyword in axes_dict.keys():
-            for req_key in required_keywords:  # check if all required keys exist
-                assert req_key in axes_dict[keyword].keys(), (
-                    "hspy_s3d axis " + keyword + " lacks " + req_key + " !"
-                )
-
-            assert axes_dict[keyword]["_type"] == "UniformDataAxis", (
-                keyword + ", this axis is not of type UniformDataAxis !"
-            )
-            avail_axis_names.append(axes_dict[keyword]["name"])
-
-        print(np.sort(avail_axis_names))
-        print(np.sort(["y", "x", "Energy loss"]))
-        axes_as_expected = np.all(
-            np.sort(avail_axis_names) == np.sort(["y", "x", "Energy loss"])
-        )
-        if axes_as_expected is False:
-            print(f"\tIn function {__name__} as expected")
-            self.is_valid = False
-
-    def parse(self, hspy_s3d):
-        """Parse a hyperspy Signal3D stack instance into an NX default plottable."""
-        if self.is_valid is False:
-            pass
-        print(f"\tIn function {__name__}")
-        # self.meta["title"].value = hspy_s3d.metadata["General"]["title"]
-        self.meta["long_name"].value = hspy_s3d.metadata["Signal"]["signal_type"]
-        # self.meta["long_name"].value = hspy_s3d.metadata["General"]["title"]
-        self.meta["title"].value = hspy_s3d.metadata["Signal"]["signal_type"]
-        self.meta["counts"].value = hspy_s3d.data  # hspy uses numpy and adapts ??
-        axes_dict = hspy_s3d.axes_manager.as_dictionary()
-        for keyword in axes_dict.keys():
-            offset = np.float64(axes_dict[keyword]["offset"])
-            scale = np.float64(axes_dict[keyword]["scale"])
-            size = np.uint32(axes_dict[keyword]["size"])
-            unit = str(axes_dict[keyword]["units"])
-            if axes_dict[keyword]["name"] == "y":
-                self.meta["ypos"].value = np.asarray(
-                    np.linspace(0.0, np.float64(size) * scale, num=size, endpoint=True)
-                    + offset / 2.0,
-                    np.float64,
-                )
-                self.meta["ypos"].unit = unit
-                self.meta["ypos_long_name"].value = "y"
-            elif axes_dict[keyword]["name"] == "x":
-                self.meta["xpos"].value = np.asarray(
-                    np.linspace(0.0, np.float64(size) * scale, num=size, endpoint=True)
-                    + offset / 2.0,
-                    np.float64,
-                )
-                self.meta["xpos"].unit = unit
-                self.meta["xpos_long_name"].value = "x"
-            else:  # axes_dict[keyword]["name"] == "Energy loss":
-                self.meta["energy_loss"].value = np.asarray(
-                    np.linspace(0.0, np.float64(size) * scale, num=size, endpoint=True)
-                    + offset / 2.0,
-                    np.float64,
-                )
-                self.meta["energy_loss"].unit = unit
-                self.meta["energy_loss_long_name"].value = "Energy loss"
-
-
-class HspyRectRoiEelsSummarySpectrum:
-    """Represent/compute an accumulated EELS spectrum from hspy EELSSpectrum."""
-
-    def __init__(self, hspy_clss):
-        self.meta: Dict[str, NxObject] = {}
-        self.meta["program"] = NxObject(value="hyperspy")
-        self.meta["program_version"] = NxObject(value=hs.__version__)
-        self.meta["title"] = NxObject()
-        self.meta["long_name"] = NxObject()  # value="Counts")
-        self.meta["counts"] = NxObject()
-        self.meta["energy_loss"] = NxObject()
-        self.meta["energy_loss_long_name"] = NxObject()  # value="Energy loss")
-        self.is_valid = True
-
-        self.is_supported(hspy_clss)
-        self.parse(hspy_clss)
-
-    def is_supported(self, hspy_s3d):
-        """Check if the input has supported axes_manager and key metadata."""
-        assert (
-            hspy_s3d.metadata["Signal"]["signal_type"] == "EELS"
-        ), "hspy_s3d is not a valid EELS hyperspy instance !"
-        assert hspy_s3d.data.ndim == 3, "hspy_s3d is not a valid 3D dataset !"
-        axes_dict = hspy_s3d.axes_manager.as_dictionary()
-        required_axis_names = ["axis-0", "axis-1", "axis-2"]
-        for req_key in required_axis_names:
-            assert req_key in axes_dict.keys(), (
-                req_key + " is unexpectedly not registered in the axes_manager !"
-            )
-        required_keywords = ["_type", "name", "units", "size", "scale", "offset"]
-        avail_axis_names = []
-        for keyword in axes_dict.keys():
-            for req_key in required_keywords:  # check if all required keys exist
-                assert req_key in axes_dict[keyword].keys(), (
-                    "hspy_s3d axis " + keyword + " lacks " + req_key + " !"
-                )
-
-            assert axes_dict[keyword]["_type"] == "UniformDataAxis", (
-                keyword + ", this axis is not of type UniformDataAxis !"
-            )
-            avail_axis_names.append(axes_dict[keyword]["name"])
-
-        print(np.sort(avail_axis_names))
-        print(np.sort(["y", "x", "Energy loss"]))
-        axes_as_expected = np.all(
-            np.sort(avail_axis_names) == np.sort(["y", "x", "Energy loss"])
-        )
-        if axes_as_expected is False:
-            print(f"\tIn function {__name__} as expected")
-            self.is_valid = False
-
-    def parse(self, hspy_s3d):
-        """Summarize the spectra stack into a ROI summary spectrum."""
-        if self.is_valid is False:
-            pass
-        print(f"\tIn function {__name__}")
-        self.meta["long_name"].value = hspy_s3d.metadata["Signal"]["signal_type"]
-        self.meta["title"].value = hspy_s3d.metadata["Signal"]["signal_type"]
-        axes_dict = hspy_s3d.axes_manager.as_dictionary()
-        # ##MK::assume for now that hspy arranges the axes such that the
-        # Energy loss comes last, then we can iterate over
-        # ##MK::at least in the example of DM3 files I found that the
-        # EELSSpectrum.data array is float32 this should not be done
-        # inspecting np.unique(hspy_s1d.data[y,x, :]) reveals there is a
-        # cast from what was likely an uint(16?) to float32
-        # ##MK::for now cast them back to uint32 and accumulate
-        # instead it should be uint, so we have to be careful with not
-        shape = np.shape(hspy_s3d.data)
-        self.meta["counts"].value = np.zeros([shape[2]], np.uint32)
-        for y_pixel in np.arange(0, shape[0]):
-            for x_pixel in np.arange(1, shape[1]):
-                self.meta["counts"].value += np.asarray(
-                    hspy_s3d.data[y_pixel, x_pixel, :], np.uint32
-                )
-        # seems that hspy is adaptive, uses numpy under the hood
-        # though, so a hspy signal's .data member is already a proper numpy dtype
-        # therefore, an explicit call like this
-        # np.asarray(hspy_s1d.data, np.uint32) is not necessary
-        # ##MK::on the contrary the above-mentioned observed cast to float32
-        # means it might not be adaptive enough ??
-        for keyword in axes_dict.keys():
-            offset = np.float64(axes_dict[keyword]["offset"])
-            scale = np.float64(axes_dict[keyword]["scale"])
-            size = np.uint32(axes_dict[keyword]["size"])
-            unit = str(axes_dict[keyword]["units"])
-            if axes_dict[keyword]["name"] == "Energy loss":
-                self.meta["energy_loss"].value = np.asarray(
-                    np.linspace(0.0, np.float64(size) * scale, num=size, endpoint=True)
-                    + offset / 2.0,
-                    np.float64,
-                )
-                self.meta["energy_loss"].unit = unit
-                self.meta["energy_loss_long_name"].value = "Energy loss"
-
-
-class NxSpectrumSetEmEels:
-    """Representing a set of EELS spectra with metadata."""
-
-    def __init__(self, hspy_list):
-        self.stack_data = []  # the HspyRectRoiEelsAllSpectra
-        self.summary_data = []  # the HspyRectRoiEelsSummarySpectrum
-        self.is_valid = True
-
-        self.is_an_implemented_case(hspy_list)
-        self.parse_hspy_instances(hspy_list)
-
-    def is_an_implemented_case(self, hspy_list):
-        """Check if signal instances in a list is a supported combination."""
-        # an EELS measurement which this implementation supports consist of
-        # a rectangular ROI are currently supported, this ROI should have
-        # one SpectrumStack cnts = f(y, x, energy loss)
-        cardinality_stack = 0
-        for hspy_clss in hspy_list:
-            if isinstance(hspy_clss, hs.signals.EELSSpectrum) is True:
-                assert hspy_clss.data.ndim in [
-                    3
-                ], "Unexpectedly found unsupported-dimensional EELSSpectrum!"
-                if hspy_clss.data.ndim == 3:
-                    cardinality_stack += 1
-        if cardinality_stack != 1:
-            self.is_valid = False
-
-    def parse_hspy_instances(self, hspy_list):
-        """Extract from hspy class instances what NOMAD OASIS understands."""
-        if self.is_valid is False:
-            pass
-        print(f"\tIn function {__name__}")
-        for hspy_clss in hspy_list:
-            if isinstance(hspy_clss, hs.signals.EELSSpectrum) is True:
-                assert hspy_clss.data.ndim in [
-                    3
-                ], "Unexpectedly found unsupported-dimensional EELSSpectrum!"
-                if hspy_clss.data.ndim == 3:
-                    self.stack_data.append(HspyRectRoiEelsAllSpectra(hspy_clss))
-                    self.summary_data.append(HspyRectRoiEelsSummarySpectrum(hspy_clss))
-
-    def report(self, prefix: str, frame_id: int, ifo: dict, template: dict) -> dict:
-        """Enter data from the NX-specific representation into the template."""
-        if self.is_valid is False:
-            print(f"\t{__name__} reporting nothing!")
-            return template
-        print(f"\t{__name__} reporting...")
-        assert (len(self.stack_data) >= 0) and (
-            len(self.stack_data) <= 1
-        ), "More than one spectrum stack is currently not supported!"
-        assert (len(self.summary_data) >= 0) and (
-            len(self.summary_data) <= 1
-        ), "More than one sum spectrum stack is currently not supported!"
-
-        if len(self.stack_data) == 1:
-            trg = f"{prefix}eels/PROCESS[process1]/"
-            template[f"{trg}PROGRAM[program1]/program"] = "hyperspy"
-            template[f"{trg}PROGRAM[program1]/program/@version"] = hs.__version__
-            template[f"{trg}mode"] = "n/a"
-            template[f"{trg}detector_identifier"] = "n/a"
-            template[f"{trg}source"] = ifo["source_file_name"]
-            template[f"{trg}source/@version"] = ifo["source_file_version"]
-
-            trg = f"{prefix}eels/stack/"
-            template[f"{trg}title"] = "EELS spectra stack"
-            # template[f"{trg}@long_name"] = self.stack_data[0].meta["long_name"].value
-            template[f"{trg}@signal"] = "data_counts"
-            template[f"{trg}@axes"] = ["axis_y", "axis_x", "axis_energy_loss"]
-            template[f"{trg}@AXISNAME[axis_energy_loss_indices]"] = np.uint32(2)
-            template[f"{trg}@AXISNAME[axis_x_indices]"] = np.uint32(1)
-            template[f"{trg}@AXISNAME[axis_y_indices]"] = np.uint32(0)
-            template[f"{trg}DATA[data_counts]"] = {
-                "compress": self.stack_data[0].meta["counts"].value,
-                "strength": 1,
-            }
-            template[f"{trg}DATA[data_counts]/@units"] = ""
-            template[f"{trg}DATA[data_counts]/@long_name"] = "Signal (a.u.)"
-            template[f"{trg}AXISNAME[axis_energy_loss]"] = {
-                "compress": self.stack_data[0].meta["energy_loss"].value,
-                "strength": 1,
-            }
-            template[f"{trg}AXISNAME[axis_energy_loss]/@units"] = (
-                self.stack_data[0].meta["energy_loss"].unit
-            )
-            template[
-                f"{trg}AXISNAME[axis_energy_loss]/@long_name"
-            ] = f"Electron energy loss ({self.stack_data[0].meta['energy_loss'].unit})"
-            template[f"{trg}AXISNAME[axis_x]"] = {
-                "compress": self.stack_data[0].meta["xpos"].value,
-                "strength": 1,
-            }
-            template[f"{trg}AXISNAME[axis_x]/@units"] = (
-                self.stack_data[0].meta["xpos"].unit
-            )
-            template[
-                f"{trg}AXISNAME[axis_x]/@long_name"
-            ] = f"x ({self.stack_data[0].meta['xpos'].unit})"
-            template[f"{trg}AXISNAME[axis_y]"] = {
-                "compress": self.stack_data[0].meta["ypos"].value,
-                "strength": 1,
-            }
-            template[f"{trg}AXISNAME[axis_y]/@units"] = (
-                self.stack_data[0].meta["ypos"].unit
-            )
-            template[
-                f"{trg}AXISNAME[axis_y]/@long_name"
-            ] = f"y ({self.stack_data[0].meta['ypos'].unit})"
-
-        if len(self.summary_data) == 1:
-            trg = f"{prefix}eels/summary/"
-            template[f"{trg}title"] = "Accumulated EELS spectrum"
-            # template[f"{trg}@long_name"] = self.summary_data[0].meta["long_name"].value
-            template[f"{trg}@signal"] = "data_counts"
-            template[f"{trg}@axes"] = ["axis_energy_loss"]
-            template[f"{trg}@AXISNAME[axis_energy_loss_indices]"] = np.uint32(0)
-            template[f"{trg}DATA[data_counts]"] = {
-                "compress": self.summary_data[0].meta["counts"].value,
-                "strength": 1,
-            }
-            template[f"{trg}DATA[data_counts]/@long_name"] = "Signal (a.u.)"
-            template[f"{trg}AXISNAME[axis_energy_loss]"] = {
-                "compress": self.summary_data[0].meta["energy_loss"].value,
-                "strength": 1,
-            }
-            template[f"{trg}AXISNAME[axis_energy_loss]/@units"] = (
-                self.summary_data[0].meta["energy_loss"].unit
-            )
-            template[
-                f"{trg}AXISNAME[axis_energy_loss]/@long_name"
-            ] = f"Energy loss ({self.summary_data[0].meta['energy_loss'].unit})"
-
-        return template
diff --git a/pynxtools/dataconverter/readers/em_spctrscpy/utils/hspy/em_hspy_xray.py b/pynxtools/dataconverter/readers/em_spctrscpy/utils/hspy/em_hspy_xray.py
deleted file mode 100644
index 93b8ea065..000000000
--- a/pynxtools/dataconverter/readers/em_spctrscpy/utils/hspy/em_hspy_xray.py
+++ /dev/null
@@ -1,494 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Classes representing groups with NeXus-ish formatted data parsed from hspy."""
-
-# pylint: disable=no-member
-
-from typing import Dict
-
-import numpy as np
-
-import hyperspy.api as hs
-
-from pynxtools.dataconverter.readers.em_spctrscpy.utils.em_nexus_base_classes import (
-    NxObject,
-)
-
-
-class HspyRectRoiXrayAllSpectra:
-    """Representing a regular stack of X-ray spectra over a rectangular ROI."""
-
-    def __init__(self, hspy_clss):
-        self.meta: Dict[str, NxObject] = {}
-        self.meta["program"] = NxObject(value="hyperspy")
-        self.meta["program_version"] = NxObject(value=hs.__version__)
-        self.meta["title"] = NxObject()
-        self.meta["long_name"] = NxObject()
-        self.meta["counts"] = NxObject()
-        self.meta["xpos"] = NxObject()
-        self.meta["xpos_long_name"] = NxObject()
-        self.meta["ypos"] = NxObject()
-        self.meta["ypos_long_name"] = NxObject()
-        self.meta["photon_energy"] = NxObject()
-        self.meta["photon_energy_long_name"] = NxObject()
-        self.is_valid = True
-
-        self.is_supported(hspy_clss)
-        self.parse(hspy_clss)
-
-    def is_supported(self, hspy_s3d):
-        """Check if the input has supported axes_manager and key metadata."""
-        assert (
-            hspy_s3d.metadata["Signal"]["signal_type"] == "EDS_TEM"
-        ), "hspy_s3d is not a valid hyperspy generic instance !"
-        assert hspy_s3d.data.ndim == 3, "hspy_s3d is not a valid 3D dataset !"
-        axes_dict = hspy_s3d.axes_manager.as_dictionary()
-        required_axis_names = ["axis-0", "axis-1", "axis-2"]
-        for req_key in required_axis_names:
-            assert req_key in axes_dict.keys(), (
-                req_key + " is unexpectedly not registered in the axes_manager !"
-            )
-        required_keywords = ["_type", "name", "units", "size", "scale", "offset"]
-        avail_axis_names = []
-        for keyword in axes_dict.keys():
-            for req_key in required_keywords:  # check if all required keys exist
-                assert req_key in axes_dict[keyword].keys(), (
-                    "hspy_s3d axis " + keyword + " lacks " + req_key + " !"
-                )
-
-            assert axes_dict[keyword]["_type"] == "UniformDataAxis", (
-                keyword + ", this axis is not of type UniformDataAxis !"
-            )
-            avail_axis_names.append(axes_dict[keyword]["name"])
-
-        axes_as_expected_emd = np.all(
-            np.sort(avail_axis_names) == np.sort(["y", "x", "X-ray energy"])
-        )
-        axes_as_expected_bcf = np.all(
-            np.sort(avail_axis_names) == np.sort(["height", "width", "Energy"])
-        )
-        if (axes_as_expected_emd is False) and (axes_as_expected_bcf is True):
-            print(f"\tIn function {__name__} as expected")
-            self.is_valid = False
-
-    def parse(self, hspy_s3d):
-        """Parse a hyperspy Signal2D stack instance into an NX default plottable."""
-        if self.is_valid is False:
-            pass
-        print(f"\tIn function {__name__}")
-        self.meta["title"].value = hspy_s3d.metadata["General"]["title"]
-        # self.long_name.value = hspy_s3d.metadata["Signal"]["signal_type"]
-        self.meta["long_name"].value = hspy_s3d.metadata["General"]["title"]
-        self.meta["counts"].value = hspy_s3d.data  # hspy uses numpy and adapts ??
-        axes_dict = hspy_s3d.axes_manager.as_dictionary()
-        for keyword in axes_dict.keys():
-            offset = np.float64(axes_dict[keyword]["offset"])
-            scale = np.float64(axes_dict[keyword]["scale"])
-            size = np.uint32(axes_dict[keyword]["size"])
-            unit = str(axes_dict[keyword]["units"])
-
-            y_axis = (axes_dict[keyword]["name"] == "y") or (
-                axes_dict[keyword]["name"] == "height"
-            )
-            x_axis = (axes_dict[keyword]["name"] == "x") or (
-                axes_dict[keyword]["name"] == "width"
-            )
-            e_axis = (axes_dict[keyword]["name"] == "X-ray energy") or (
-                axes_dict[keyword]["name"] == "Energy"
-            )
-            if y_axis is True:
-                self.meta["ypos"].value = np.asarray(
-                    np.linspace(0.0, np.float64(size) * scale, num=size, endpoint=True)
-                    + offset / 2.0,
-                    np.float64,
-                )
-                self.meta["ypos"].unit = unit
-                self.meta["ypos_long_name"].value = "y"  # ##MK::name y always!
-            if x_axis is True:
-                self.meta["xpos"].value = np.asarray(
-                    np.linspace(0.0, np.float64(size) * scale, num=size, endpoint=True)
-                    + offset / 2.0,
-                    np.float64,
-                )
-                self.meta["xpos"].unit = unit
-                self.meta["xpos_long_name"].value = "x"  # ##MK::name x always!
-            if e_axis is True:
-                self.meta["photon_energy"].value = np.asarray(
-                    np.linspace(0.0, np.float64(size) * scale, num=size, endpoint=True)
-                    + offset / 2.0,
-                    np.float64,
-                )
-                self.meta["photon_energy"].unit = unit
-                self.meta["photon_energy_long_name"].value = "Energy"
-                # ##MK::name Energy always!
-
-
-class HspyRectRoiXraySummarySpectrum:
-    """Representing the accumulated X-ray spectrum over a rectangular ROI."""
-
-    def __init__(self, hspy_clss):
-        self.meta: Dict[str, NxObject] = {}
-        self.meta["program"] = NxObject(value="hyperspy")
-        self.meta["program_version"] = NxObject(value=hs.__version__)
-        self.meta["title"] = NxObject()
-        self.meta["long_name"] = NxObject()
-        self.meta["counts"] = NxObject()
-        self.meta["photon_energy"] = NxObject()
-        self.meta["photon_energy_long_name"] = NxObject()
-        self.is_valid = True
-
-        self.is_supported(hspy_clss)
-        self.parse(hspy_clss)
-
-    def is_supported(self, hspy_s1d):
-        """Check if the input has supported axes_manager and key metadata."""
-        assert (
-            hspy_s1d.metadata["Signal"]["signal_type"] == "EDS_TEM"
-        ), "hspy_s3d is not a valid hyperspy generic instance !"
-        assert hspy_s1d.data.ndim == 1, "hspy_s3d is not a valid 1D dataset !"
-        axes_dict = hspy_s1d.axes_manager.as_dictionary()
-        required_axis_names = ["axis-0"]
-        for req_key in required_axis_names:
-            assert req_key in axes_dict.keys(), (
-                req_key + " is unexpectedly not registered in the axes_manager !"
-            )
-        required_keywords = ["_type", "name", "units", "size", "scale", "offset"]
-        avail_axis_names = []
-        for keyword in axes_dict.keys():
-            for req_key in required_keywords:  # check if all required keys exist
-                assert req_key in axes_dict[keyword].keys(), (
-                    "hspy_s1d axis " + keyword + " lacks " + req_key + " !"
-                )
-
-            assert axes_dict[keyword]["_type"] == "UniformDataAxis", (
-                keyword + ", this axis is not of type UniformDataAxis !"
-            )
-            avail_axis_names.append(axes_dict[keyword]["name"])
-
-        axes_as_expected = np.all(np.sort(avail_axis_names) == np.sort(["Energy"]))
-        if axes_as_expected is False:
-            print(f"\tIn function {__name__} as expected")
-            self.is_valid = False
-
-    def parse(self, hspy_s1d):
-        """Parse a hyperspy Signal1D stack instance into an NX default plottable."""
-        if self.is_valid is False:
-            pass
-        print(f"\tIn function {__name__}")
-        self.meta["title"].value = hspy_s1d.metadata["General"]["title"]
-        # self.meta["long_name"].value = hspy_s1d.metadata["Signal"]["signal_type"]
-        self.meta["long_name"].value = hspy_s1d.metadata["General"]["title"]
-        self.meta["counts"].value = hspy_s1d.data
-        # ##MK::it seems that hspy is adaptive, uses numpy under the hood
-        # though, so the .data instance is already a proper numpy dtype
-        # therefore, an explicit call like this
-        # np.asarray(hspy_s1d.data, np.uint32) is not necessary
-        axes_dict = hspy_s1d.axes_manager.as_dictionary()
-        for keyword in axes_dict.keys():
-            offset = np.float64(axes_dict[keyword]["offset"])
-            scale = np.float64(axes_dict[keyword]["scale"])
-            size = np.uint32(axes_dict[keyword]["size"])
-            unit = str(axes_dict[keyword]["units"])
-            # if axes_dict[keyword]["name"] == "Energy":
-            self.meta["photon_energy"].value = np.asarray(
-                np.linspace(0.0, np.float64(size) * scale, num=size, endpoint=True)
-                + offset / 2.0,
-                np.float64,
-            )
-            self.meta["photon_energy"].unit = unit
-            self.meta["photon_energy_long_name"].value = "Energy"
-
-
-class HspyRectRoiXrayMap:
-    """Representing an X-ray composition map with metadata."""
-
-    def __init__(self, hspy_clss):
-        self.meta: Dict[str, NxObject] = {}
-        self.meta["program"] = NxObject(value="hyperspy")
-        self.meta["program_version"] = NxObject(value=hs.__version__)
-        self.meta["title"] = NxObject()
-        self.meta["long_name"] = NxObject()
-        self.meta["counts"] = NxObject()
-        self.meta["xpos"] = NxObject()
-        self.meta["xpos_long_name"] = NxObject()
-        self.meta["ypos"] = NxObject()
-        self.meta["ypos_long_name"] = NxObject()
-        self.is_valid = True
-
-        self.is_supported(hspy_clss)
-        self.parse(hspy_clss)
-
-    def is_supported(self, hspy_s2d):
-        """Check if the input has supported axes_manager and key metadata."""
-        assert (
-            hspy_s2d.metadata["Signal"]["signal_type"] == ""
-        ), "hspy_s2d is not a valid hyperspy generic instance !"
-        assert hspy_s2d.data.ndim == 2, "hspy_s2d is not a valid 2D dataset !"
-        axes_dict = hspy_s2d.axes_manager.as_dictionary()
-        required_axis_names = ["axis-0", "axis-1"]
-        for req_key in required_axis_names:
-            assert req_key in axes_dict.keys(), (
-                req_key + " is unexpectedly not registered in the axes_manager !"
-            )
-        required_keywords = ["_type", "name", "units", "size", "scale", "offset"]
-        avail_axis_names = []
-        for keyword in axes_dict.keys():
-            for req_key in required_keywords:  # check if all required keys exist
-                assert req_key in axes_dict[keyword].keys(), (
-                    "hspy_s2d axis " + keyword + " lacks " + req_key + " !"
-                )
-            assert axes_dict[keyword]["_type"] == "UniformDataAxis", (
-                keyword + ", this axis is not of type UniformDataAxis !"
-            )
-            avail_axis_names.append(axes_dict[keyword]["name"])
-
-        axes_as_expected = np.all(np.sort(avail_axis_names) == np.sort(["y", "x"]))
-        if axes_as_expected is False:
-            print(f"\tIn function {__name__} as expected")
-            self.is_valid = False
-
-    def parse(self, hspy_s2d):
-        """Parse a hyperspy Signal2D instance into an NX default plottable."""
-        if self.is_valid is False:
-            pass
-        print(f"\tIn function {__name__}")
-        self.meta["title"].value = hspy_s2d.metadata["General"]["title"]
-        # self.meta["long_name"].value = hspy_s2d.metadata["Signal"]["signal_type"]
-        self.meta["long_name"].value = hspy_s2d.metadata["General"]["title"]
-        self.meta["counts"].value = hspy_s2d.data  # hspy uses numpy and adapts ??
-        axes_dict = hspy_s2d.axes_manager.as_dictionary()
-        for keyword in axes_dict.keys():
-            offset = np.float64(axes_dict[keyword]["offset"])
-            scale = np.float64(axes_dict[keyword]["scale"])
-            size = np.uint32(axes_dict[keyword]["size"])
-            unit = str(axes_dict[keyword]["units"])
-            if axes_dict[keyword]["name"] == "y":
-                assert axes_dict[keyword]["_type"] == "UniformDataAxis", (
-                    keyword + ", this x axis is not of type UniformDataAxis !"
-                )
-                self.meta["ypos"].value = np.asarray(
-                    np.linspace(0.0, np.float64(size) * scale, num=size, endpoint=True)
-                    + offset / 2.0,
-                    np.float64,
-                )
-                self.meta["ypos"].unit = unit
-                self.meta["ypos_long_name"].value = "y"
-            else:  # axes_dict[keyword]["name"] == "x":
-                assert axes_dict[keyword]["_type"] == "UniformDataAxis", (
-                    keyword + ", this y axis is not of type UniformDataAxis !"
-                )
-                self.meta["xpos"].value = np.asarray(
-                    np.linspace(0.0, np.float64(size) * scale, num=size, endpoint=True)
-                    + offset / 2.0,
-                    np.float64,
-                )
-                self.meta["xpos"].unit = unit
-                self.meta["xpos_long_name"].value = "x"
-
-
-class NxSpectrumSetEmXray:
-    """Representing a set of X-ray spectra with metadata."""
-
-    def __init__(self, hspy_list):
-        self.stack_data = []  # the HspyRectRoiXrayAllSpectra
-        self.summary_data = []  # the HspyRectRoiXraySummarySpectrum
-        self.composition_map = {}  # instances of HspyRectRoiXrayMap
-        self.is_valid = True
-
-        self.is_an_implemented_case(hspy_list)
-        self.parse_hspy_instances(hspy_list)
-
-    def is_an_implemented_case(self, hspy_list):
-        """Check if signal instances in a list is a supported combination."""
-        # an Xray analysis which this implementation supports should consist of
-        # a rectangular ROI are currently supported, this ROI should have
-        # one HAADF overview image
-        # this HAADF image is read however by another, a NxImageSetAdf instance
-        # of the em parser!
-        # one SpectraStack cnts = f(y, x, energy)
-        # one accumulated "sum" spectra cnts = f(energy)
-        # an arbitrary number of single element X-ray maps cnts = f(y, x)
-        cardinality_stack = 0
-        cardinality_summary = 0
-        for hspy_clss in hspy_list:
-            if isinstance(hspy_clss, hs.signals.EDSTEMSpectrum) is True:
-                assert hspy_clss.data.ndim in [
-                    1,
-                    3,
-                ], "Unexpectedly found unsupported-dimensional EDSTEMSpectrum!"
-                if hspy_clss.data.ndim == 1:
-                    cardinality_summary += 1
-                elif hspy_clss.data.ndim == 3:
-                    cardinality_stack += 1
-                else:
-                    continue
-        if cardinality_stack != 1:  # stack needed or (cardinality_summary == 1)
-            self.is_valid = False
-
-    def parse_hspy_instances(self, hspy_list):
-        """Extract from hspy class instances what NOMAD OASIS understands."""
-        if self.is_valid is False:
-            pass
-        print(f"\tIn function {__name__}")
-        for hspy_clss in hspy_list:
-            if isinstance(hspy_clss, hs.signals.EDSTEMSpectrum) is True:
-                ndim = hspy_clss.data.ndim
-                if ndim == 1:
-                    self.summary_data.append(HspyRectRoiXraySummarySpectrum(hspy_clss))
-                elif ndim == 3:
-                    self.stack_data.append(HspyRectRoiXrayAllSpectra(hspy_clss))
-                else:
-                    continue
-            elif isinstance(hspy_clss, hs.signals.Signal2D) is True:
-                ndim = hspy_clss.data.ndim
-                if ndim == 2:
-                    title = hspy_clss.metadata["General"]["title"]
-                    if title != "HAADF":
-                        self.composition_map[title] = HspyRectRoiXrayMap(hspy_clss)
-            else:
-                continue
-
-    def report(self, prefix: str, frame_id: int, ifo: dict, template: dict) -> dict:
-        """Enter data from the NX-specific representation into the template."""
-        if self.is_valid is False:
-            print(f"\t{__name__} reporting nothing!")
-            return template
-        print(f"\t{__name__} reporting...")
-        assert (len(self.stack_data) >= 0) and (
-            len(self.stack_data) <= 1
-        ), "More than one spectrum stack is currently not supported!"
-        assert (len(self.summary_data) >= 0) and (
-            len(self.summary_data) <= 1
-        ), "More than one sum spectrum stack is currently not supported!"
-        # for keyword, obj in self.composition_map.items():
-        #     print(f"{keyword}, np.shape(obj.counts.value), {np.shape(obj.counts.value)}")
-
-        if len(self.stack_data) == 1:
-            trg = f"{prefix}xray/PROCESS[process1]/"
-            template[f"{trg}PROGRAM[program1]/program"] = "hyperspy"
-            template[f"{trg}PROGRAM[program1]/program/@version"] = hs.__version__
-            template[f"{trg}mode"] = "n/a"
-            template[f"{trg}detector_identifier"] = "n/a"
-            template[f"{trg}source"] = ifo["source_file_name"]
-            template[f"{trg}source/@version"] = ifo["source_file_version"]
-
-            # MISSING_DATA_MSG = "not in hspy metadata case specifically in original_metadata"
-            # ##MK::!!!!!
-            # ##MK::how to communicate that these data do not exist?
-            # template[trg + "adf_outer_half_angle"] = np.float64(0.)
-            # template[trg + "adf_outer_half_angle/@units"] = "rad"
-            # template[trg + "adf_inner_half_angle"] = np.float64(0.)
-            # template[trg + "adf_inner_half_angle/@units"] = "rad"
-
-            trg = f"{prefix}xray/stack/"
-            template[f"{trg}title"] = "Xray spectra stack"
-            # template[f"{trg}@long_name"] \
-            #     = self.stack_data[0].meta["long_name"].value
-            template[f"{trg}@signal"] = "data_counts"
-            template[f"{trg}@axes"] = ["axis_y", "axis_x", "axis_photon_energy"]
-            template[f"{trg}@AXISNAME_indices[axis_photon_energy_indices]"] = np.uint32(
-                2
-            )
-            template[f"{trg}@AXISNAME_indices[axis_x_indices]"] = np.uint32(1)
-            template[f"{trg}@AXISNAME_indices[axis_y_indices]"] = np.uint32(0)
-            template[f"{trg}DATA[data_counts]"] = {
-                "compress": self.stack_data[0].meta["counts"].value,
-                "strength": 1,
-            }
-            template[f"{trg}DATA[data_counts]/@long_name"] = "Photon counts (1)"
-            template[f"{trg}AXISNAME[axis_photon_energy]"] = {
-                "compress": self.stack_data[0].meta["photon_energy"].value,
-                "strength": 1,
-            }
-            template[f"{trg}AXISNAME[axis_photon_energy]/@units"] = (
-                self.stack_data[0].meta["photon_energy"].unit
-            )
-            template[
-                f"{trg}AXISNAME[axis_photon_energy]/@long_name"
-            ] = f"Photon energy ({self.stack_data[0].meta['photon_energy'].unit})"
-            template[f"{trg}AXISNAME[axis_x]"] = {
-                "compress": self.stack_data[0].meta["xpos"].value,
-                "strength": 1,
-            }
-            template[f"{trg}AXISNAME[axis_x]/@units"] = (
-                self.stack_data[0].meta["xpos"].unit
-            )
-            template[
-                f"{trg}AXISNAME[axis_x]/@long_name"
-            ] = f"x ({self.stack_data[0].meta['xpos'].unit})"
-            template[f"{trg}AXISNAME[axis_y]"] = {
-                "compress": self.stack_data[0].meta["ypos"].value,
-                "strength": 1,
-            }
-            template[f"{trg}AXISNAME[axis_y]/@units"] = (
-                self.stack_data[0].meta["ypos"].unit
-            )
-            template[
-                f"{trg}AXISNAME[axis_y]/@long_name"
-            ] = f"y ({self.stack_data[0].meta['ypos'].unit})"
-
-        if len(self.summary_data) == 1:
-            trg = f"{prefix}xray/summary/"
-            template[f"{trg}title"] = "Accumulated X-ray spectrum"
-            # template[f"{trg}@long_name"] = self.summary_data[0].meta["long_name"].value
-            template[f"{trg}@signal"] = "data_counts"
-            template[f"{trg}@axes"] = ["axis_photon_energy"]
-            template[f"{trg}@AXISNAME_indices[axis_photon_energy_indices]"] = np.uint32(
-                0
-            )
-            template[f"{trg}DATA[data_counts]"] = {
-                "compress": self.summary_data[0].meta["counts"].value,
-                "strength": 1,
-            }
-            template[f"{trg}DATA[data_counts]/@long_name"] = "Photon counts (1)"
-            template[f"{trg}AXISNAME[axis_photon_energy]"] = {
-                "compress": self.summary_data[0].meta["photon_energy"].value,
-                "strength": 1,
-            }
-            template[f"{trg}AXISNAME[axis_photon_energy]/@units"] = (
-                self.summary_data[0].meta["photon_energy"].unit
-            )
-            template[
-                f"{trg}AXISNAME[axis_photon_energy]/@long_name"
-            ] = f"Photon energy ({self.summary_data[0].meta['photon_energy'].unit})"
-
-        return template
-
-        # skip the composition maps for the search sprint
-        # for keyword, xray_map in self.composition_map.items():
-        #     prfx = f"{trg}PROCESS[indexing]/PROCESS[{keyword.lower()}]/summary/"
-        #     template[f"{prfx}title"] = f"X-ray mapping for {keyword}"
-        #     # = xray_map.meta["long_name"].value
-        #     # template[f"{prfx}@long_name"] = xray_map.meta["long_name"].value
-        #     template[f"{prfx}@signal"] = "data_counts"
-        #     template[f"{prfx}@axes"] = ["axis_y", "axis_x"]
-        #     template[f"{prfx}@AXISNAME[axis_x_indices]"] = np.uint32(1)
-        #     template[f"{prfx}@AXISNAME[axis_y_indices]"] = np.uint32(0)
-        #     template[f"{prfx}DATA[data_counts]"] \
-        #         = {"compress": xray_map.meta["counts"].value, "strength": 1}
-        #     template[f"{prfx}DATA[data_counts]/@long_name"] = "Counts (1)"
-        #     template[f"{prfx}AXISNAME[axis_x]"] \
-        #         = {"compress": xray_map.meta["xpos"].value, "strength": 1}
-        #     template[f"{prfx}AXISNAME[axis_x]/@units"] = xray_map.meta["xpos"].unit
-        #     template[f"{prfx}AXISNAME[axis_x]/@long_name"] \
-        #         = f"x ({xray_map.meta['xpos'].unit})"
-        #     template[f"{prfx}AXISNAME[axis_y]"] \
-        #         = {"compress": xray_map.meta["ypos"].value, "strength": 1}
-        #     template[f"{prfx}AXISNAME[axis_y]/@units"] = xray_map.meta["ypos"].unit
-        #     template[f"{prfx}AXISNAME[axis_y]/@long_name"] \
-        #         = f"y ({xray_map.meta['ypos'].unit})"
diff --git a/pynxtools/dataconverter/readers/em_spctrscpy/utils/oina/em_oina_xray.py b/pynxtools/dataconverter/readers/em_spctrscpy/utils/oina/em_oina_xray.py
deleted file mode 100644
index dad0827f0..000000000
--- a/pynxtools/dataconverter/readers/em_spctrscpy/utils/oina/em_oina_xray.py
+++ /dev/null
@@ -1,22 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Classes representing groups with NeXus-ish formatted data parsed from H5OINA."""
-
-# pylint: disable=no-member
-
-# place where to place code for loading Oxford Instrument H5OINA files
diff --git a/pyproject.toml b/pyproject.toml
index 6ce16a256..363e42bf4 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -32,13 +32,9 @@ dependencies = [
     "pandas>=1.3.2",
     "ase>=3.19.0",
     "flatdict>=4.0.1",
-    "hyperspy>=1.7.4",
     "gitpython>=3.1.24",
     "pytz>=2021.1",
-    "kikuchipy>=0.8.2",
-    "pyxem>=0.14.2",
     "zipfile37==0.1.3",
-    "nionswift>=0.16.8",
     "tzlocal<=4.3",
     "scipy>=1.7.1",
     "mergedeep",
@@ -70,7 +66,13 @@ dev = [
     "pre-commit",
 ]
 convert = [
-    "pynxtools[mpes,xps,apm,stm]",
+    "pynxtools[apm,em,mpes,xps,stm]",
+]
+apm = [
+    "pynxtools-apm",
+]
+em = [
+    "pynxtools-em",
 ]
 mpes = [
     "pynxtools-mpes",
@@ -78,14 +80,10 @@ mpes = [
 xps = [
     "pynxtools-xps",
 ]
-apm = [
-    "pynxtools-apm",
-]
 stm = [
     "pynxtools-stm",
 ]
 
-
 [project.scripts]
 read_nexus = "pynxtools.nexus.nexus:main"
 dataconverter = "pynxtools.dataconverter.convert:main_cli"
diff --git a/tests/data/dataconverter/readers/em_nion/README.md b/tests/data/dataconverter/readers/em_nion/README.md
deleted file mode 100644
index d554fa343..000000000
--- a/tests/data/dataconverter/readers/em_nion/README.md
+++ /dev/null
@@ -1,2 +0,0 @@
-This is a place for storing data for tests which verify the functionality of the em_spctrscpy reader.
-An example for how to use the em_spctrscpy reader is available in _pynxtools/examples/em_.
diff --git a/tests/data/dataconverter/readers/em_nion/nomad_oasis_eln_schema_for_nx_em/nxem.schema.archive.yaml b/tests/data/dataconverter/readers/em_nion/nomad_oasis_eln_schema_for_nx_em/nxem.schema.archive.yaml
deleted file mode 100644
index 71ed0ebcf..000000000
--- a/tests/data/dataconverter/readers/em_nion/nomad_oasis_eln_schema_for_nx_em/nxem.schema.archive.yaml
+++ /dev/null
@@ -1,503 +0,0 @@
-# group, field, and attribute names match to NXem, for further details
-# what each field should contain consult the respective docstring of the 
-# quantity in NXem
-definitions:
-  name: 'em'
-  # 'ELN/application definition schema for electron microscopy (EM) experiments.'
-  sections: # section definitions what were back in the old days msection base classes
-    ElectronMicroscopy: # the actual schema
-      base_sections:
-        - 'nomad.datamodel.metainfo.eln.NexusDataConverter'
-        - 'nomad.datamodel.data.EntryData'
-      m_annotations:
-        # Here you can set your default values for the reader and nxdl.
-        template: 
-          reader: em_nion
-          nxdl: NXem.nxdl
-        # Listing quantities in the hide component will not show them in the ELN.
-        # This would be useful to make the default values set in `template` fixed.
-        # Leave the hide key even if you want to pass an empty list like in this example.
-        eln: 
-          # hide: ['nxdl', 'reader']
-          hide: []
-      sub_sections:
-        entry:
-          section:
-            description: |
-              Generic details about an experiment.
-            m_annotations:
-              eln:
-                overview: true
-            quantities:
-              attr_version:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - 'nexus-fairmat-proposal successor of 9636feecb79bb32b828b1a9804269573256d7696'
-                description: Hashvalue of the NeXus application definition file
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-              definition:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - NXem
-                description: NeXus NXDL schema to which this file conforms
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-              experiment_identifier:
-                type: str
-                description: GUID of the experiment
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              experiment_description:
-                type: str
-                description: Free text details about the experiment
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              start_time:
-                type: Datetime
-                description: |
-                  ISO 8601 time code with local time zone offset to UTC
-                  when the microscope session started.
-                m_annotations:
-                  eln:
-                    component: DateTimeEditQuantity
-              end_time:
-                type: Datetime
-                description: |
-                  ISO 8601 time code with local time zone offset to UTC
-                  when the microscope session ended.
-                m_annotations:
-                  eln:
-                    component: DateTimeEditQuantity
-              program:
-                type: str
-                description: Name of the program used to create this file.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              program__attr_version:
-                type: str
-                description: Version plus build number, commit hash, or description of the program to support reproducibility.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              # experiment_documentation(NXnote):
-              # thumbnail(NXnote):
-              #   attr_type:
-              # inputfile:
-              #   type: str
-              #   description: not used
-              #   m_annotations:
-              #     eln:
-              #       component: FileEditQuantity
-        user:
-          repeats: true
-          section:
-            description: |
-              Contact information and eventually details of at least one person
-              involved in the taking of the microscope session.
-            m_annotations:
-              eln:
-            quantities:
-              name:
-                type: str
-                description: Given (first) name and surname.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              email:
-                type: str
-                description: Email address of the user at the point in time when the experiment was performed.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              affiliation:
-                type: str
-                description: Name of the affiliation of the user at the point in time when the experiment was performed.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              address:
-                type: str
-                description: Postal address of the affiliation.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              orcid:
-                type: str
-                description: Globally unique identifier of the user as offered by services like OrcID or ResearcherID.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              orcid_platform:
-                type: str
-                description: Name of the OrcID or ResearcherID where the account under orcid is registered.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              telephone_number:
-                type: str
-                description: (Business) (tele)phone number of the user at the point in time when the experiment was performed.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              role:
-                type: str
-                description: Which role does the user have in the place and at the point in time when the experiment was performed? Technician operating the microscope. Student, postdoc, principle investigator, guest are common examples.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              social_media_name:
-                type: str
-                description: Account name that is associated with the user in social media platforms.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              social_media_platform:
-                type: str
-                description: Name of the social media platform where the account under social_media_name is registered.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-        sample:
-          section:
-            description: |
-              Details about the sample and its immediate environment.
-            m_annotations:
-              eln:
-            quantities:
-              method:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - experiment
-                    - simulation
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-              name: 
-                type: str
-                description: |
-                  GUID which distinguishes the specimen from all others and especially 
-                  the predecessor/origin from where the specimen was cut.
-                  In cases where the specimen was e.g. site-specifically cut from
-                  samples or in cases of an instrument session during which multiple
-                  specimens are loaded, the name has to be descriptive enough to 
-                  resolve which specimen was taken. This field must not be used for an
-                  alias of the specimen. Instead, use short_title.
-                  
-                  In cases where multiple specimens have been loaded into the microscope
-                  the name has to identify the specific one, whose results are stored
-                  by this NXentry, because a single NXentry should be used only for
-                  the characterization of a single specimen.
-                  Details about the specimen preparation should be stored in the
-                  sample history.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              sample_history:
-                type: str
-                description: |
-                  Reference to the location of or a GUID providing as many details
-                  as possible of the material, its microstructure, and its
-                  thermo-chemo-mechanical processing/preparation history.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              preparation_date:
-                type: Datetime
-                description: |
-                  ISO 8601 time code with local time zone offset to UTC information when
-                  the measured specimen surface was last actively prepared before
-                  loading the sample into the microscope.
-                m_annotations:
-                  eln:
-                    component: DateTimeEditQuantity
-              short_title:
-                type: str
-                description: Possibility to give an abbreviation or alias of the specimen name field.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              # atom_types should be a list of strings
-              atom_types:
-                type: str
-                shape: ['*']
-                description: |
-                  Use Hill's system for listing elements of the periodic table which
-                  are inside or attached to the surface of the specimen and thus
-                  relevant from a scientific point of view.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              description:
-                type: str
-                description: |
-                  Discouraged free text field to be used in the case when properly
-                  designed records for the sample_history are not available.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              thickness:
-                type: np.float64
-                unit: meter
-                description: |
-                  (Measured) sample thickness. The information is recorded to qualify
-                  if the beam used was likely able to shine through the specimen.
-                m_annotations:
-                  eln:
-                    component: NumberEditQuantity
-                    defaultDisplayUnit: nanometer
-                    minValue: 0.0
-              # density:
-              #   type: np.float64
-              #   unit: g/cm^3  # how to do?
-              #   description: |
-              #     (Measured) density of the specimen. For multi-layered specimens
-              #     this field should only be used to describe the density of the excited volume.
-              #     For scanning electron microscopy the usage of this field is discouraged
-              #     and instead an instance of an NXinteraction_volume_em for individual
-              #     NXevent_data_em instances can provide a much better description of
-              #     the relevant details why one would otherwise ask to store the
-              #     density of the specimen.
-              #   m_annotations:
-              #     eln:
-              #       component: NumberEditQuantity
-              #       defaultDisplayUnit: g/cm^3
-              #       minValue: 0.0
-        em_lab:
-          section:
-            description: |
-              Metadata of the microscope and the lab in which it stands.
-            m_annotations:
-              eln:
-            quantities:
-              instrument_name:
-                type: str
-                description: Given name of the atom probe at the hosting institution.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              location:
-                type: str
-                description: Location of the lab or place where the instrument is installed. Using GEOREF is preferred.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-            sub_sections:
-              fabrication:
-                section:
-                  description: Details about the microscope fabrication.
-                  m_annotations:
-                    eln:
-                  quantities:
-                  # sub_sections:
-                    vendor:
-                      type: str
-                      description: Company name of the manufacturer.
-                      m_annotations:
-                        eln:
-                          component: StringEditQuantity
-                    model:
-                      type: str
-                      description: Version or model of the component named by the manufacturer.
-                      m_annotations:
-                        eln:
-                          component: StringEditQuantity
-                    identifier:
-                      type: str
-                      description: Ideally, (globally) unique persistent identifier, i.e. a serial number or hash identifier of the component.
-                      m_annotations:
-                        eln:
-                          component: StringEditQuantity
-                    capabilities:
-                      type: str
-                      description: Free-text list with eventually multiple terms of functionalities which the component offers.
-                      m_annotations:
-                        eln:
-                          component: StringEditQuantity
-              ebeam_column:
-                section:
-                  description: Components to form a controlled electron beam
-                  m_annotations:
-                    eln:
-                  # quantities:
-                  sub_sections:
-                    electron_source:
-                      section:
-                        description: The source which creates the electron beam
-                        m_annotations:
-                          eln:
-                        quantities:
-                          name:
-                            type: str
-                            description: Given name/alias
-                            m_annotations:
-                              eln:
-                                component: StringEditQuantity
-                          voltage:
-                            type: np.float64
-                            description: |
-                              Voltage relevant to compute the energy of the
-                              electrons immediately after they left the gun.
-                            unit: volt
-                            m_annotations:
-                              eln:
-                                component: NumberEditQuantity
-                                defaultDisplayUnit: kV
-                                minValue: 0.0
-                                maxValue: 1.1e6
-                          emitter_type:
-                            type:
-                              type_kind: Enum
-                              type_data:
-                                - thermionic
-                                - schottky
-                                - field_emission
-                            description: |
-                              Emitter type used to create the beam.
-                            m_annotations:
-                              eln:
-                                component: RadioEnumEditQuantity
-                          # emitter_material:
-                          #   type: str
-                          #   description: Material of which the emitter is build, e.g. the filament material.
-                          #   m_annotations:
-                          #     eln:
-                          #       component: StringEditQuantity
-                    aperture_em:
-                      repeats: true
-                      section:
-                        description: Used apertures.
-                        m_annotations:
-                          eln:
-                        quantities:
-                          name:
-                            type: str
-                            description: Given name/alias of the aperture.
-                            m_annotations:
-                              eln:
-                                component: StringEditQuantity
-                          value:
-                            type: np.float64
-                            description: Relevant value from the control software.
-                            m_annotations:
-                              eln:
-                                component: NumberEditQuantity
-                    # NXlens_em
-                    aberration_correction:
-                      section:
-                        description: Aberration corrector details.
-                        m_annotations:
-                          eln:
-                        quantities:
-                          applied:
-                            type: bool
-                            description: Was the corrector used?
-                            m_annotations:
-                              eln:
-                                component: BoolEditQuantity
-              # ibeam_column:
-              # ebeam_deflector:
-              # ibeam_deflector:
-              # stage_lab:
-              optical_system_em:
-                section:
-                  description: Qualifying the electron optical system
-                  m_annotations:
-                    eln:
-                  quantities:
-                    camera_length:
-                      type: np.float64
-                      unit: meter
-                      m_annotations:
-                        eln:
-                          component: NumberEditQuantity
-                          defaultDisplayUnit: m
-                          minValue: 0.0
-                    magnification:
-                      type: np.float64
-                      m_annotations:
-                        eln:
-                          component: NumberEditQuantity
-                          minValue: 1.0
-                    defocus:
-                      type: np.float64
-                      unit: meter
-                      m_annotations:
-                        eln:
-                          component: NumberEditQuantity
-                          defaultDisplayUnit: nm
-                    semi_convergence_angle:
-                      type: np.float64
-                      unit: radian
-                      m_annotations:
-                        eln:
-                          component: NumberEditQuantity
-                          defaultDisplayUnit: radian
-                    # field_of_view:
-                    #   type: np.float64
-                    #   unit: meter
-                    #   m_annotations:
-                    #     eln:
-                    #       component: NumberEditQuantity
-                    #       defaultDisplayUnit: nm
-                    working_distance:
-                      type: np.float64
-                      unit: meter
-                      m_annotations:
-                        eln:
-                          component: NumberEditQuantity
-                          defaultDisplayUnit: mm
-                    beam_current:
-                      type: np.float64
-                      unit: ampere
-                      m_annotations:
-                        eln:
-                           component: NumberEditQuantity
-                           defaultDisplayUnit: picoampere
-                           minValue: 0.0
-                    beam_current_description:
-                      type: str
-                      m_annotations:
-                        eln:
-                          component: StringEditQuantity
-              detector:
-                repeats: true
-                section:
-                  description: |
-                    Description of the type of detector.
-                  m_annotations:
-                    eln:
-                  quantities:
-                    local_name:
-                      type: str
-                      description: Instrument-specific alias/name
-                      m_annotations:
-                        eln:
-                          component: StringEditQuantity
-              # (NXpump)
-              stage_lab:
-                section:
-                  description: A stage lab which can hold, align, orient, and prepare a specimen.
-                  m_annotations:
-                    eln:
-                  quantities:
-                    name:
-                      type: str
-                      description: Given name/alias for the stage.
-                      m_annotations:
-                        eln:
-                          component: StringEditQuantity
-                    description:
-                      type: str
-                      description: Ideally, a (globally) unique persistent identifier, link, or text to a resource which gives further details.
-                      m_annotations:
-                        eln:
-                          component: StringEditQuantity
diff --git a/tests/data/dataconverter/readers/em_om/README.md b/tests/data/dataconverter/readers/em_om/README.md
deleted file mode 100644
index daf932238..000000000
--- a/tests/data/dataconverter/readers/em_om/README.md
+++ /dev/null
@@ -1,2 +0,0 @@
-This is a place for storing data for tests which verify the functionality of the em_om reader.
-An example for how to use the em_om reader is available in _pynxtools/examples/em_om_.
diff --git a/tests/data/dataconverter/readers/em_om/nomad_oasis_eln_schema_for_nx_em_ebsd/nxem_ebsd.schema.archive.yaml b/tests/data/dataconverter/readers/em_om/nomad_oasis_eln_schema_for_nx_em_ebsd/nxem_ebsd.schema.archive.yaml
deleted file mode 100644
index 449567df4..000000000
--- a/tests/data/dataconverter/readers/em_om/nomad_oasis_eln_schema_for_nx_em_ebsd/nxem_ebsd.schema.archive.yaml
+++ /dev/null
@@ -1,1105 +0,0 @@
-# https://kikuchipy.org/en/stable/tutorials/reference_frames.html#Reference-frames
-
-definitions:
-  name: 'em_om'
-  # 'ELN for collecting conventions relevant for interpreting orientation microscopy data.'
-  sections: # section definitions what were back in the old days msection base classes
-    ElectronBackscatterDiffraction: # the actual schema´
-      base_sections:
-        - 'nomad.datamodel.metainfo.eln.NexusDataConverter'
-        - 'nomad.datamodel.data.EntryData'
-      m_annotations:
-        # Here you can set your default values for the reader and nxdl.
-        template: 
-          reader: em_om
-          nxdl: NXem_ebsd.nxdl
-        # Listing quantities in the hide component will not show them in the ELN.
-        # This would be useful to make the default values set in `template` fixed.
-        # Leave the hide key even if you want to pass an empty list like in this example.
-        eln: 
-          # hide: ['nxdl', 'reader']
-          hide: []
-      sub_sections:
-        entry:
-          section:
-            description: |
-              Conventions and definitions which make orientation microscopy data interpretable.
-            m_annotations:
-              eln:
-                overview: true
-            quantities:
-              attr_version:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - 'nexus-fairmat-proposal successor of 9636feecb79bb32b828b1a9804269573256d7696'
-                description: Hashvalue of the NeXus application definition file
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-              definition:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - NXem_ebsd
-                description: NeXus NXDL schema to which this file conforms
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-              workflow_identifier:
-                type: str
-                description: GUID of the workflow
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              workflow_description:
-                type: str
-                description: |
-                  Free text details about this particular workflow.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              start_time:
-                type: Datetime
-                description: |
-                  ISO 8601 time code with local time zone offset to UTC
-                  when the experiment started.
-                m_annotations:
-                  eln:
-                    component: DateTimeEditQuantity
-              end_time:
-                type: Datetime
-                description: |
-                  ISO 8601 time code with local time zone offset to UTC
-                  when the experiment ended.
-                m_annotations:
-                  eln:
-                    component: DateTimeEditQuantity
-              program:
-                type: str
-                default: nexusutils/dataconverter/readers/em_om.py
-                description: |
-                  Name of the program used to parse this file.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              program__attr_version:
-                type: str
-                default: undefined
-                description: |
-                  Version plus build number, commit hash, or description
-                  of the program to support reproducibility.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-
-              # inputfile_reconstruction:
-              #   type: str
-              #   description: |
-              #     Place to drag-and-drop the file containing the result of the measurement.
-              #     This result has to be the tomographic reconstruction.
-              #     Accepted file formats are POS, ePOS, and APT (from APSuite).
-              #   m_annotations:
-              #     eln:
-              #       component: FileEditQuantity
-              # inputfile_range_file:
-              #   type: str
-              #   description: |
-              #     Place to drag-and-drop a file which contains the result of a ranging of
-              #     the mass-to-charge-state ratio values to assigned ion labels.
-              #     Accepted file formats are RNG, and RRNG.
-              #   m_annotations:
-              #     eln:
-              #       component: FileEditQuantity
-
-        user:
-          repeats: true
-          section:
-            description: |
-              Optional contact information and eventually details of at least
-              one person involved in performing the workflow. This can be the
-              principle investigator who implemented the workflow.
-              Adding multiple users if relevant is recommended.
-            m_annotations:
-              eln:
-            quantities:
-              name:
-                type: str
-                description: Given (first) name and surname.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              email:
-                type: str
-                description: Email address of the user at the point in time when the experiment was performed.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              affiliation:
-                type: str
-                description: Name of the affiliation of the user at the point in time when the experiment was performed.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              address:
-                type: str
-                description: Postal address of the affiliation.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              orcid:
-                type: str
-                description: Globally unique identifier of the user as offered by services like OrcID or ResearcherID.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              orcid_platform:
-                type: str
-                description: Name of the OrcID or ResearcherID where the account under orcid is registered.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              telephone_number:
-                type: str
-                description: (Business) (tele)phone number of the user at the point in time when the experiment was performed.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              role:
-                type: str
-                description: Which role does the user have in the place and at the point in time when the experiment was performed? Technician operating the microscope. Student, postdoc, principle investigator, guest are common examples.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              social_media_name:
-                type: str
-                description: Account name that is associated with the user in social media platforms.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              social_media_platform:
-                type: str
-                description: Name of the social media platform where the account under social_media_name is registered.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-
-        commercial_on_the_fly_indexing:
-          section:
-            description: |
-              An inspection of available EBSD datasets with an open-source
-              license stored on public archive services like Zenodo revealed,
-              inspected during the implementation of a generic parser for
-              EBSD data that such data are in most cases stored in two ways:
-              Case one is via a file in a format defined by technology partners.
-              Typically this file contains results of an on-the-fly executed indexing,
-              i.e. scan point positions, indexing solutions per scan point,
-              and some quality descriptors of the solutions,
-              as well as crystal structure and phase metadata.
-              Case two is pattern in some custom format sometimes supported
-              with custom metadata and descriptions of the individual fields
-              and data arrays most frequently just pointing to the publication.
-              
-              Therefore, we first need to collect how these on_the_fly indexed
-              results have been generated and in which file they ended up.
-              Ideally one would do so by creating a complete set of data
-              using e.g. NXem. This would allow reading all the above-mentioned
-              data directly from file referred to in the measurement group.
-              However, in most cases this is not available.
-              
-              Therefore, we store here key metadata about which results file
-              contain the EBSD mapping and which software was used (software name
-              and version with build number) to create it. These pieces of information
-              support the interpretation of specific metadata
-              in these results file which currently cannot be interpreted completely
-              or reliably conceptually.
-            m_annotations:
-              eln:
-            quantities:
-              program:
-                type: str
-                description: |
-                  Commercial program which was used to index the EBSD data
-                  incrementally after they have been captured and while the
-                  microscope was capturing. This is the usual production workflow
-                  how scanning electron microscopes are used when collecting
-                  EBSD data.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              program__attr_version:
-                type: str
-                description: |
-                  Program version plus build number, commit hash, or other description of an ever persistent resource where the source
-                  code of the program and build instructions can be found or at least more information about the program in this version can be found. If all such information is not available, like for commercial software, here the version number and build number should be written. Use semantic versioning if possible.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              results_file:
-                type: str
-                description: |
-                  Name of the results file.
-                m_annotations:
-                  eln:
-                    component: FileEditQuantity
-              # results_file__attr_version:
-              #   type: str
-              #   description: |
-              #     Hash of that file.
-              #   m_annotations:
-              #     eln:
-              #       component: StringEditQuantity
-
-        measurement:
-          # repeats: true
-          section:
-            description: |
-              Connection between the measurement of the Kikuchi pattern and
-              the processing of these into an orientation microscopy image.
-            m_annotations:
-              eln:
-            quantities:
-              origin:
-                type: str
-                description: |
-                  Name or link to an existent instance of an EBSD raw dataset
-                  inside an NXem which has at least one NXimage_set_em_kikuchi
-                  instance. The path to this instance in the origin has to be
-                  specified under path.
-                  
-                  When NXem is not used or the aim is to rather explore first
-                  how community specific files with EBSD data, such as ANG, CPR,
-                  or HDF5-based formats can be parsed from, inject here the name
-                  of that file.
-                  
-                  The em_om parser will currently not interpret the majority of
-                  the many system and technique-specific metadata which come
-                  with the files from e.g. technology partners. This is because
-                  the current culture in the field in the EBSD community is that
-                  many metadata fields are not in all cases fully documented.
-                  
-                  In addition, it is common practice in EBSD that users transcode
-                  their raw data files into other formats so that these data can be
-                  interpreted by specific software tools including commercial
-                  software from technology partners other than the one which
-                  delivered the system that was e.g. used when for collecting
-                  the raw data.
-                  As many of the file formats are not designed to communicate
-                  also these specifically and eventually differently contextualized
-                  metadata, we have opted for the first iteration of the implementation
-                  to discard these metadata. Currently, this is also not problematic
-                  as the file pointed to will be kept but as it uses information
-                  alien to most research data management systems certain data have
-                  to be extracted and transformed for the RDMS to serve them.
-                  
-                  Another reason for this choice was also to emphasize that in
-                  fact such challenges do exist in the community. Hence, pointing
-                  them out may support the discussion to arrive at eventually more
-                  complete solutions. As developing these solutions though should
-                  not be our own authority and necessarily demands feedback from
-                  technology partners and acceptance by the EBSD community we have
-                  opted for this intermediate approach.
-                m_annotations:
-                  eln:
-                    component: FileEditQuantity
-              # origin__attr_version:
-              #   type: str
-              #   description: |
-              #     Hash of the file referred to.
-              #   m_annotations:
-              #     eln:
-              #       component: StringEditQuantity
-              path:
-                type: str
-                description: |
-                  Path which resolves which specific NXimage_set_em_kikuchi instance
-                  was used as the raw data to this EBSD data (post)-processing workflow.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-
-        calibration:
-          # repeats: true
-          section:
-            description: |
-              The EBSD system, that is the electron gun, pole-piece, stage
-              tilting, and EBSD detector, as well as the gnomonic projection
-              have to be calibrated to achieve reliable results.
-              Here a connection can be made to inform about another measurement
-              during which these calibrations were made.
-            m_annotations:
-              eln:
-            quantities:
-              origin:
-                type: str
-                description: |
-                  Drag-and-drop a file which is ideally an instance of NXebsd with
-                  an associated instance of NXem detailed under measurement
-                  which informs about the calibration procedures.
-                  If such a file is not available the file can also remain empty
-                  but keep in mind then that it is unclear in which calibration
-                  state your microscope was used.
-                m_annotations:
-                  eln:
-                    component: FileEditQuantity
-              # origin__attr_version:
-              #   type: str
-              #   description: |
-              #     Hash of the file referred to.
-              #   m_annotations:
-              #     eln:
-              #       component: StringEditQuantity
-              path:
-                type: str
-                description: |
-                  Path which resolves which specific NXimage_set_em_kikuchi instance
-                  was used as the raw data to this EBSD data (post)-processing workflow
-                  when performing the calibration.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-        rotation_conventions:
-          section:
-            description: |
-              Mathematical conventions and materials-science-specific conventions
-              required for interpreting every collection of orientation data.
-            m_annotations:
-              eln:
-            quantities:
-              three_dimensional_rotation_handedness:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - undefined
-                    - counter_clockwise
-                    - clockwise
-                default: undefined
-                description: |
-                  Convention how a positive rotation angle is defined when viewing
-                  from the end of the rotation unit vector towards its origin,
-                  i.e. in accordance with convention 2 of DOI: 10.1088/0965-0393/23/8/083501.
-                  Counter_clockwise is equivalent to a right-handed choice.
-                  Clockwise is equivalent to a left-handed choice.
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-              rotation_convention:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - undefined
-                    - passive
-                    - active
-                default: undefined
-                description: |
-                  How are rotations interpreted into an orientation
-                  according to convention 3 of DOI: 10.1088/0965-0393/23/8/083501.
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-              euler_angle_convention:
-                type: str
-                default: undefined
-                description: |
-                  How are Euler angles interpreted given that there are several
-                  choices (e.g. ZXZ, XYZ, etc.) according to convention 4 of
-                  DOI: 10.1088/0965-0393/23/8/083501.
-                  The most frequently used convention is ZXZ which is based on
-                  the work of H.-J. Bunge but other conventions are possible.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              axis_angle_convention:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - undefined
-                    - rotation_angle_on_interval_zero_to_pi
-                default: undefined
-                description: |
-                  To which angular range is the rotation angle argument of an
-                  axis-angle pair parameterization constrained according to
-                  convention 5 of DOI: 10.1088/0965-0393/23/8/083501.
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-              sign_convention:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - undefined
-                    - p_plus_one
-                    - p_minus_one
-                default: undefined
-                description: |
-                  Which sign convention is followed when converting orientations
-                  between different parameterizations/representations according
-                  to convention 6 of DOI: 10.1088/0965-0393/23/8/083501.
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-
-        processing_reference_frame:
-          section:
-            description: |
-              Details about eventually relevant named directions that may
-              give reasons for anisotropies. The classical example is cold-rolling
-              where one has to specify which directions (rolling, transverse, and normal)
-              align how with the direction of the base vectors of the sample_reference_frame.
-            m_annotations:
-              eln:
-            quantities:
-              reference_frame_type:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - undefined
-                    - right_handed_cartesian
-                    - left_handed_cartesian
-                default: undefined
-                description: |
-                  Type of coordinate system and reference frame according to
-                  convention 1 of DOI: 10.1088/0965-0393/23/8/083501.
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-              xaxis_direction:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - undefined
-                    - north
-                    - east
-                    - south
-                    - west
-                    - in
-                    - out
-                default: undefined
-                description: |
-                  Direction of the positively pointing x-axis base vector of
-                  the processing_reference_frame. We assume the configuration
-                  is inspected by looking towards the sample surface from a position
-                  that is located behind the detector.
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-              xaxis_alias:
-                type: str
-                default: undefined
-                description: |
-                  Name or alias assigned to the x-axis base vector,
-                  e.g. rolling direction.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              yaxis_direction:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - undefined
-                    - north
-                    - east
-                    - south
-                    - west
-                    - in
-                    - out
-                default: undefined
-                description: |
-                  Direction of the positively pointing y-axis base vector of
-                  the processing_reference_frame. We assume the configuration
-                  is inspected by looking towards the sample surface from a position
-                  that is located behind the detector. For further information consult
-                  also the help info for the xaxis_direction field.
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-              yaxis_alias:
-                type: str
-                default: undefined
-                description: |
-                  Name or alias assigned to the y-axis base vector,
-                  e.g. transverse direction.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              zaxis_direction:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - undefined
-                    - north
-                    - east
-                    - south
-                    - west
-                    - in
-                    - out
-                default: undefined
-                description: |
-                  Direction of the positively pointing z-axis base vector of
-                  the processing_reference frame. We assume the configuration
-                  is inspected by looking towards the sample surface from a position
-                  that is located behind the detector. For further information consult
-                  also the help info for the xaxis_direction field.
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-              zaxis_alias:
-                type: str
-                default: undefined
-                description: |
-                  Name or alias assigned to the z-axis base vector,
-                  e.g. normal direction.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              origin:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - undefined
-                    - front_top_left
-                    - front_top_right
-                    - front_bottom_right
-                    - front_bottom_left
-                    - back_top_left
-                    - back_top_right
-                    - back_bottom_right
-                    - back_bottom_left
-                default: undefined
-                description: |
-                  Location of the origin of the sample surface reference frame.
-                  This specifies the location Xs = 0, Ys = 0, Zs = 0.
-                  Assume regions-of-interest in this reference frame form a
-                  rectangle or cuboid.
-                  Edges are interpreted by inspecting the direction of their
-                  outer unit normals (which point either parallel or antiparallel)
-                  along respective base vector direction of the reference frame.
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-
-        sample_reference_frame:
-          section:
-            description: |
-              Details about the sample/specimen (surface) reference frame.
-            m_annotations:
-              eln:
-            quantities:
-              reference_frame_type:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - undefined
-                    - right_handed_cartesian
-                    - left_handed_cartesian
-                default: undefined
-                description: |
-                  Type of coordinate system and reference frame according to
-                  convention 1 of DOI: 10.1088/0965-0393/23/8/083501.
-                  The reference frame for the sample surface reference is used for
-                  identifying positions on a (virtual) image which is formed by
-                  information collected from an electron beam scanning the
-                  sample surface. We assume the configuration is inspected by
-                  looking towards the sample surface from a position that is
-                  located behind the detector.
-                  Reference DOI: 10.1016/j.matchar.2016.04.008
-                  The sample surface reference frame has coordinates Xs, Ys, Zs.
-                  In three dimensions these coordinates are not necessarily
-                  located on the surface of the sample as there are multiple
-                  faces/sides of the sample. Most frequently though the coordinate
-                  system here is used to define the surface which the electron
-                  beam scans.
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-              xaxis_direction:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - undefined
-                    - north
-                    - east
-                    - south
-                    - west
-                    - in
-                    - out
-                default: undefined
-                description: |
-                  Direction of the positively pointing x-axis base vector of
-                  the sample surface reference frame. We assume the configuration
-                  is inspected by looking towards the sample surface from a position
-                  that is located behind the detector.
-                  Different tools assume that different strategies can be used
-                  and are perceived as differently convenient to enter
-                  details about coordinate system definitions. In this ELN users
-                  have to possibility to fill in what they assume is sufficient to
-                  define the coordinate system directions unambiguously.
-                  Software which works with this user input needs to offer parsing
-                  capabilities which detect conflicting input and warn accordingly.
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-              yaxis_direction:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - undefined
-                    - north
-                    - east
-                    - south
-                    - west
-                    - in
-                    - out
-                default: undefined
-                description: |
-                  Direction of the positively pointing y-axis base vector of
-                  the sample surface reference frame. We assume the configuration
-                  is inspected by looking towards the sample surface from a position
-                  that is located behind the detector.
-                  For further information consult also the help info for the
-                  xaxis_direction field.
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-              zaxis_direction:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - undefined
-                    - north
-                    - east
-                    - south
-                    - west
-                    - in
-                    - out
-                default: undefined
-                description: |
-                  Direction of the positively pointing z-axis base vector of
-                  the sample surface reference frame. We assume the configuration
-                  is inspected by looking towards the sample surface from a position
-                  that is located behind the detector.
-                  For further information consult also the help info for the
-                  xaxis_direction field.
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-              origin:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - undefined
-                    - front_top_left
-                    - front_top_right
-                    - front_bottom_right
-                    - front_bottom_left
-                    - back_top_left
-                    - back_top_right
-                    - back_bottom_right
-                    - back_bottom_left
-                default: undefined
-                description: |
-                  Location of the origin of the sample surface reference frame.
-                  This specifies the location Xs = 0, Ys = 0, Zs = 0.
-                  Assume regions-of-interest in this reference frame form a
-                  rectangle or cuboid.
-                  Edges are interpreted by inspecting the direction of their
-                  outer unit normals (which point either parallel or antiparallel)
-                  along respective base vector direction of the reference frame.
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-
-        detector_reference_frame:
-          section:
-            description: |
-              Details about the detector reference frame.
-            m_annotations:
-              eln:
-            quantities:
-              reference_frame_type:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - undefined
-                    - right_handed_cartesian
-                    - left_handed_cartesian
-                default: undefined
-                description: |
-                  Type of coordinate system/reference frame used for
-                  identifying positions in detector space Xd, Yd, Zd,
-                  according to DOI: 10.1016/j.matchar.2016.04.008.
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-              xaxis_direction:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - undefined
-                    - north
-                    - east
-                    - south
-                    - west
-                    - in
-                    - out
-                default: undefined
-                description: |
-                  Direction of the positively pointing x-axis base vector of
-                  the detector space reference frame. We assume the configuration
-                  is inspected by looking towards the sample surface from a
-                  position that is located behind the detector.
-                  Different tools assume that different strategies can be used
-                  and are perceived as differently convenient to enter
-                  details about coordinate system definitions. In this ELN users
-                  have to possibility to fill in what they assume is sufficient to
-                  define the coordinate system directions unambiguously.
-                  Software which works with this user input needs to offer parsing
-                  capabilities which detect conflicting input and warn accordingly.
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-              yaxis_direction:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - undefined
-                    - north
-                    - east
-                    - south
-                    - west
-                    - in
-                    - out
-                default: undefined
-                description: |
-                  Direction of the positively pointing y-axis base vector of
-                  the detector space reference frame. We assume the configuration
-                  is inspected by looking towards the sample surface from a
-                  position that is located behind the detector.
-                  For further information consult also the help info for the
-                  xaxis_direction field.
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-              zaxis_direction:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - undefined
-                    - north
-                    - east
-                    - south
-                    - west
-                    - in
-                    - out
-                default: undefined
-                description: |
-                  Direction of the positively pointing z-axis base vector of
-                  the detector space reference frame. We assume the configuration
-                  is inspected by looking towards the sample surface from a
-                  position that is located behind the detector.
-                  For further information consult also the help info for the
-                  xaxis_direction field.
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-              origin:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - undefined
-                    - front_top_left
-                    - front_top_right
-                    - front_bottom_right
-                    - front_bottom_left
-                    - back_top_left
-                    - back_top_right
-                    - back_bottom_right
-                    - back_bottom_left
-                default: undefined
-                description: |
-                  Where is the origin of the detector space reference
-                  frame located. This is the location of Xd = 0, Yd = 0, Zd = 0.
-                  Assume regions-of-interest in this reference frame form a
-                  rectangle or cuboid.
-                  Edges are interpreted by inspecting the direction of their
-                  outer unit normals (which point either parallel or antiparallel)
-                  along respective base vector direction of the reference frame.
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-
-        gnomonic_projection:
-          section:
-            description: |
-              Specific conventions for electron backscatter diffraction (EBSD) for
-              interpreting data and eventually applied post-processing tasks.
-            m_annotations:
-              eln:
-            quantities:
-              method:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - undefined
-                    - backscatter
-                    - other
-                default: backscatter
-                description: Which type of electron diffraction method used.
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-            sub_sections:
-              # useful for all diffraction techniques
-              # specific for EBSD
-              gnomonic_projection_reference_frame:
-                section:
-                  description: |
-                    Details about the gnomonic projection reference frame.
-                  m_annotations:
-                    eln:
-                  quantities:
-                    reference_frame_type:
-                      type:
-                        type_kind: Enum
-                        type_data:
-                          - undefined
-                          - right_handed_cartesian
-                          - left_handed_cartesian
-                      default: undefined
-                      description: |
-                        Type of coordinate system/reference frame used for
-                        identifying positions in the gnomonic projection space
-                        Xg, Yg, Zg.
-                        according to DOI: 10.1016/j.matchar.2016.04.008.
-                      m_annotations:
-                        eln:
-                          component: RadioEnumEditQuantity
-                    xaxis_direction:
-                      type:
-                        type_kind: Enum
-                        type_data:
-                          - undefined
-                          - north
-                          - east
-                          - south
-                          - west
-                          - in
-                          - out
-                      default: undefined
-                      description: |
-                        Direction of the positively pointing "gnomomic" x-axis base
-                        vector when viewing how the diffraction pattern looks on the
-                        detector screen. We assume the configuration is inspected by
-                        looking towards the sample surface from a position
-                        that is located behind the detector.
-                        Different tools assume that different strategies can be used
-                        and are perceived as differently convenient to enter
-                        details about coordinate system definitions. In this ELN users
-                        have to possibility to fill in what they assume is sufficient to
-                        define the coordinate system directions unambiguously.
-                        Software which works with this user input needs to offer parsing
-                        capabilities which detect conflicting input and warn accordingly.
-                      m_annotations:
-                        eln:
-                          component: RadioEnumEditQuantity
-                    yaxis_direction:
-                      type:
-                        type_kind: Enum
-                        type_data:
-                          - undefined
-                          - north
-                          - east
-                          - south
-                          - west
-                          - in
-                          - out
-                      default: undefined
-                      description: |
-                        Direction of the positively pointing "gnomomic" y-axis base
-                        vector when viewing how the diffraction pattern looks on the
-                        detector screen. We assume the configuration is inspected by
-                        looking towards the sample surface from a position
-                        that is located behind the detector.
-                        For further information consult also the help info for the
-                        xaxis_direction field.
-                      m_annotations:
-                        eln:
-                          component: RadioEnumEditQuantity
-                    zaxis_direction:
-                      type:
-                        type_kind: Enum
-                        type_data:
-                          - undefined
-                          - north
-                          - east
-                          - south
-                          - west
-                          - in
-                          - out
-                      default: undefined
-                      description: |
-                        Direction of the positively pointing "gnomomic" z-axis base
-                        vector when viewing how the diffraction pattern looks on the
-                        detector screen. We assume the configuration is inspected by
-                        looking towards the sample surface from a position
-                        that is located behind the detector.
-                        For further information consult also the help info for the
-                        xaxis_direction field.
-                      m_annotations:
-                        eln:
-                          component: RadioEnumEditQuantity
-                    origin:
-                      type:
-                        type_kind: Enum
-                        type_data:
-                          - undefined
-                          - in_the_pattern_centre
-                      # just stating in the pattern_centre is not necessarily sufficient
-                      default: undefined
-                      description: |
-                        Is the origin of the gnomonic coordinate system located
-                        where we assume the location of the pattern centre.
-                        This is the location Xg = 0, Yg = 0, Zg = 0 according to
-                        reference DOI: 10.1016/j.matchar.2016.04.008.
-                      m_annotations:
-                        eln:
-                          component: RadioEnumEditQuantity
-              pattern_centre:
-                section:
-                  description: |
-                    Details about the definition and location of the pattern centre
-                    which is a point in the gnomonic projection space Xg, Yg, Zg.
-                  m_annotations:
-                    eln:
-                  quantities:
-                    xaxis_boundary_convention:
-                      type:
-                        type_kind: Enum
-                        type_data:
-                          - undefined
-                          - top
-                          - right
-                          - bottom
-                          - left
-                      default: undefined
-                      description: |
-                        From which border of the EBSP (in the detector reference frame)
-                        is the pattern centre's x-position (PCx) measured?
-                        Keywords assume the region-of-interest is defined by
-                        a rectangle. We observe this rectangle and inspect the
-                        direction of the outer-unit normals to the edges of
-                        this rectangle.
-                      m_annotations:
-                        eln:
-                          component: RadioEnumEditQuantity
-                    xaxis_normalization_direction:
-                      type:
-                        type_kind: Enum
-                        type_data:
-                          - undefined
-                          - north
-                          - east
-                          - south
-                          - west
-                      default: undefined
-                      description: |
-                        In which direction are positive values for PCx measured from
-                        the specified boundary. Keep in mind that the gnomonic space
-                        is in virtually all cases embedded in the detector space.
-                        Specifically, the XgYg plane is defined such that it is
-                        embedded/laying inside the XdYd plane (of the detector
-                        reference frame).
-                        When the normalization direction is the same as e.g. the
-                        detector x-axis direction, we state that we effectively
-                        normalize in fractions of the width of the detector.
-                        The issue with terms like width and height is that these
-                        degenerate if the detector region-of-interest is square-shaped.
-                        This is why we should better avoid talking about width and height but programmatically state how we would measure distances practically with a ruler and how we then measure positive
-                        distances.
-                      m_annotations:
-                        eln:
-                          component: RadioEnumEditQuantity
-                    yaxis_boundary_convention:
-                      type:
-                        type_kind: Enum
-                        type_data:
-                          - undefined
-                          - top
-                          - right
-                          - bottom
-                          - left
-                      default: undefined
-                      description: |
-                        From which border of the EBSP (in the detector reference
-                        frame) is the pattern centre's y-position (PCy) measured?
-                        For further details inspect the help button of
-                        xaxis_boundary_convention.
-                      m_annotations:
-                        eln:
-                          component: RadioEnumEditQuantity
-                    yaxis_normalization_direction:
-                      type:
-                        type_kind: Enum
-                        type_data:
-                          - undefined
-                          - north
-                          - east
-                          - south
-                          - west
-                      default: undefined
-                      description: |
-                        In which direction are positive values for PCy measured from
-                        the specified boundary.
-                        For further details inspect the help button of
-                        xaxis_normalization_direction.
-                      m_annotations:
-                        eln:
-                          component: RadioEnumEditQuantity
-                    # pattern_centre_distance_convention:
-                    #   type:
-                    #     type_kind: Enum
-                    #     type_data:
-                    #       - undefined
-                    #       - Bruker
-                    #       - JEOL
-                    #       - FEI
-                    #       - Oxford
-                    #   description: |
-                    #     How is the third of the three pattern centre parameter values,
-                    #     the (distance) parameter DD, normalized. Which convention
-                    #     is followed. We are aware that specifying one of the options here
-                    #     also implicitly comes with conventions for some of the parameter
-                    #     requested in this ELN. For now we would rather like to ask
-                    #     the users though to be specific also to learn how such an ELN
-                    #     will be used in practice.
-                    #   m_annotations:
-                    #     eln:
-                    #       component: RadioEnumEditQuantity
-                    # Reference DOI: 10.1016/j.matchar.2016.04.008
-                    # Other packages describe the PC position starting from the bottom left
-                    # of the EBSP instead of the top left as used here. These packages may record
-                    # this with respect to a square/circular EBSP, illustrating that care must be
-                    # taken when using rectangular screens, as the aspect ratio of the EBSP is
-                    # important when converting pattern fractions into effective pixels or mm.
-        indexing:
-          section:
-            description: |
-              Details about the indexing algorithm(s) used.
-            m_annotations:
-              eln:
-            quantities:
-              method:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - undefined
-                    - hough_transform
-                    - dictionary
-                    - radon_transform
-                    - other
-                default: backscatter
-                description: |
-                  Principal algorithm used for indexing.
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
diff --git a/tests/data/dataconverter/readers/em_spctrscpy/README.md b/tests/data/dataconverter/readers/em_spctrscpy/README.md
deleted file mode 100644
index d554fa343..000000000
--- a/tests/data/dataconverter/readers/em_spctrscpy/README.md
+++ /dev/null
@@ -1,2 +0,0 @@
-This is a place for storing data for tests which verify the functionality of the em_spctrscpy reader.
-An example for how to use the em_spctrscpy reader is available in _pynxtools/examples/em_.
diff --git a/tests/data/dataconverter/readers/em_spctrscpy/nomad_oasis_eln_schema_for_nx_em/nxem.schema.archive.yaml b/tests/data/dataconverter/readers/em_spctrscpy/nomad_oasis_eln_schema_for_nx_em/nxem.schema.archive.yaml
deleted file mode 100644
index 5fc3a2fe4..000000000
--- a/tests/data/dataconverter/readers/em_spctrscpy/nomad_oasis_eln_schema_for_nx_em/nxem.schema.archive.yaml
+++ /dev/null
@@ -1,507 +0,0 @@
-# group, field, and attribute names match to NXem, for further details
-# what each field should contain consult the respective docstring of the 
-# quantity in NXem
-definitions:
-  name: 'em'
-  # 'ELN/application definition schema for electron microscopy (EM) experiments.'
-  sections: # section definitions what were back in the old days msection base classes
-    # Operator:
-    # Specimen:
-    ElectronMicroscopy: # the actual schema
-      # nomad.datamodel.metainfo.eln.NexusParser
-      base_sections:
-        - 'nomad.datamodel.metainfo.eln.NexusDataConverter'
-        - 'nomad.datamodel.data.EntryData'
-      # base_section: nomad.datamodel.data.EntryData
-      m_annotations:
-        # Here you can set your default values for the reader and nxdl.
-        template: 
-          reader: em_spctrscpy
-          nxdl: NXem.nxdl
-        # Listing quantities in the hide component will not show them in the ELN.
-        # This would be useful to make the default values set in `template` fixed.
-        # Leave the hide key even if you want to pass an empty list like in this example.
-        eln: 
-          # hide: ['nxdl', 'reader']
-          hide: []
-      sub_sections:
-        entry:
-          section:
-            description: |
-              Generic details about an experiment.
-            m_annotations:
-              eln:
-                overview: true
-            quantities:
-              attr_version:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - 'nexus-fairmat-proposal successor of 9636feecb79bb32b828b1a9804269573256d7696'
-                description: Hashvalue of the NeXus application definition file
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-              definition:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - NXem
-                description: NeXus NXDL schema to which this file conforms
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-              experiment_identifier:
-                type: str
-                description: GUID of the experiment
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              experiment_description:
-                type: str
-                description: Free text details about the experiment
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              start_time:
-                type: Datetime
-                description: |
-                  ISO 8601 time code with local time zone offset to UTC
-                  when the microscope session started.
-                m_annotations:
-                  eln:
-                    component: DateTimeEditQuantity
-              end_time:
-                type: Datetime
-                description: |
-                  ISO 8601 time code with local time zone offset to UTC
-                  when the microscope session ended.
-                m_annotations:
-                  eln:
-                    component: DateTimeEditQuantity
-              program:
-                type: str
-                description: Name of the program used to create this file.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              program__attr_version:
-                type: str
-                description: Version plus build number, commit hash, or description of the program to support reproducibility.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              # experiment_documentation(NXnote):
-              # thumbnail(NXnote):
-              #   attr_type:
-              # inputfile:
-              #   type: str
-              #   description: not used
-              #   m_annotations:
-              #     eln:
-              #       component: FileEditQuantity
-        user:
-          repeats: true
-          section:
-            description: |
-              Contact information and eventually details of at least one person
-              involved in the taking of the microscope session.
-            m_annotations:
-              eln:
-            quantities:
-              name:
-                type: str
-                description: Given (first) name and surname.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              email:
-                type: str
-                description: Email address of the user at the point in time when the experiment was performed.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              affiliation:
-                type: str
-                description: Name of the affiliation of the user at the point in time when the experiment was performed.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              address:
-                type: str
-                description: Postal address of the affiliation.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              orcid:
-                type: str
-                description: Globally unique identifier of the user as offered by services like OrcID or ResearcherID.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              orcid_platform:
-                type: str
-                description: Name of the OrcID or ResearcherID where the account under orcid is registered.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              telephone_number:
-                type: str
-                description: (Business) (tele)phone number of the user at the point in time when the experiment was performed.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              role:
-                type: str
-                description: Which role does the user have in the place and at the point in time when the experiment was performed? Technician operating the microscope. Student, postdoc, principle investigator, guest are common examples.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              social_media_name:
-                type: str
-                description: Account name that is associated with the user in social media platforms.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              social_media_platform:
-                type: str
-                description: Name of the social media platform where the account under social_media_name is registered.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-        sample:
-          section:
-            description: |
-              Details about the sample and its immediate environment.
-            m_annotations:
-              eln:
-            quantities:
-              method:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - experiment
-                    - simulation
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-              name: 
-                type: str
-                description: |
-                  GUID which distinguishes the specimen from all others and especially 
-                  the predecessor/origin from where the specimen was cut.
-                  In cases where the specimen was e.g. site-specifically cut from
-                  samples or in cases of an instrument session during which multiple
-                  specimens are loaded, the name has to be descriptive enough to 
-                  resolve which specimen was taken. This field must not be used for an
-                  alias of the specimen. Instead, use short_title.
-                  
-                  In cases where multiple specimens have been loaded into the microscope
-                  the name has to identify the specific one, whose results are stored
-                  by this NXentry, because a single NXentry should be used only for
-                  the characterization of a single specimen.
-                  Details about the specimen preparation should be stored in the
-                  sample history.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              sample_history:
-                type: str
-                description: |
-                  Reference to the location of or a GUID providing as many details
-                  as possible of the material, its microstructure, and its
-                  thermo-chemo-mechanical processing/preparation history.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              preparation_date:
-                type: Datetime
-                description: |
-                  ISO 8601 time code with local time zone offset to UTC information when
-                  the measured specimen surface was last actively prepared before
-                  loading the sample into the microscope.
-                m_annotations:
-                  eln:
-                    component: DateTimeEditQuantity
-              short_title:
-                type: str
-                description: Possibility to give an abbreviation or alias of the specimen name field.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              # atom_types should be a list of strings
-              atom_types:
-                type: str
-                shape: ['*']
-                description: |
-                  Use Hill's system for listing elements of the periodic table which
-                  are inside or attached to the surface of the specimen and thus
-                  relevant from a scientific point of view.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              description:
-                type: str
-                description: |
-                  Discouraged free text field to be used in the case when properly
-                  designed records for the sample_history are not available.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              thickness:
-                type: np.float64
-                unit: meter
-                description: |
-                  (Measured) sample thickness. The information is recorded to qualify
-                  if the beam used was likely able to shine through the specimen.
-                m_annotations:
-                  eln:
-                    component: NumberEditQuantity
-                    defaultDisplayUnit: nanometer
-                    minValue: 0.0
-              # density:
-              #   type: np.float64
-              #   unit: g/cm^3  # how to do?
-              #   description: |
-              #     (Measured) density of the specimen. For multi-layered specimens
-              #     this field should only be used to describe the density of the excited volume.
-              #     For scanning electron microscopy the usage of this field is discouraged
-              #     and instead an instance of an NXinteraction_volume_em for individual
-              #     NXevent_data_em instances can provide a much better description of
-              #     the relevant details why one would otherwise ask to store the
-              #     density of the specimen.
-              #   m_annotations:
-              #     eln:
-              #       component: NumberEditQuantity
-              #       defaultDisplayUnit: g/cm^3
-              #       minValue: 0.0
-        em_lab:
-          section:
-            description: |
-              Metadata of the microscope and the lab in which it stands.
-            m_annotations:
-              eln:
-            quantities:
-              instrument_name:
-                type: str
-                description: Given name of the atom probe at the hosting institution.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              location:
-                type: str
-                description: Location of the lab or place where the instrument is installed. Using GEOREF is preferred.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-            sub_sections:
-              fabrication:
-                section:
-                  description: Details about the microscope fabrication.
-                  m_annotations:
-                    eln:
-                  quantities:
-                  # sub_sections:
-                    vendor:
-                      type: str
-                      description: Company name of the manufacturer.
-                      m_annotations:
-                        eln:
-                          component: StringEditQuantity
-                    model:
-                      type: str
-                      description: Version or model of the component named by the manufacturer.
-                      m_annotations:
-                        eln:
-                          component: StringEditQuantity
-                    identifier:
-                      type: str
-                      description: Ideally, (globally) unique persistent identifier, i.e. a serial number or hash identifier of the component.
-                      m_annotations:
-                        eln:
-                          component: StringEditQuantity
-                    capabilities:
-                      type: str
-                      description: Free-text list with eventually multiple terms of functionalities which the component offers.
-                      m_annotations:
-                        eln:
-                          component: StringEditQuantity
-              ebeam_column:
-                section:
-                  description: Components to form a controlled electron beam
-                  m_annotations:
-                    eln:
-                  # quantities:
-                  sub_sections:
-                    electron_source:
-                      section:
-                        description: The source which creates the electron beam
-                        m_annotations:
-                          eln:
-                        quantities:
-                          name:
-                            type: str
-                            description: Given name/alias
-                            m_annotations:
-                              eln:
-                                component: StringEditQuantity
-                          voltage:
-                            type: np.float64
-                            description: |
-                              Voltage relevant to compute the energy of the
-                              electrons immediately after they left the gun.
-                            unit: volt
-                            m_annotations:
-                              eln:
-                                component: NumberEditQuantity
-                                defaultDisplayUnit: kV
-                                minValue: 0.0
-                                maxValue: 1.1e6
-                          emitter_type:
-                            type:
-                              type_kind: Enum
-                              type_data:
-                                - thermionic
-                                - schottky
-                                - field_emission
-                            description: |
-                              Emitter type used to create the beam.
-                            m_annotations:
-                              eln:
-                                component: RadioEnumEditQuantity
-                          # emitter_material:
-                          #   type: str
-                          #   description: Material of which the emitter is build, e.g. the filament material.
-                          #   m_annotations:
-                          #     eln:
-                          #       component: StringEditQuantity
-                    aperture_em:
-                      repeats: true
-                      section:
-                        description: Used apertures.
-                        m_annotations:
-                          eln:
-                        quantities:
-                          name:
-                            type: str
-                            description: Given name/alias of the aperture.
-                            m_annotations:
-                              eln:
-                                component: StringEditQuantity
-                          value:
-                            type: np.float64
-                            description: Relevant value from the control software.
-                            m_annotations:
-                              eln:
-                                component: NumberEditQuantity
-                    # NXlens_em
-                    aberration_correction:
-                      section:
-                        description: Aberration corrector details.
-                        m_annotations:
-                          eln:
-                        quantities:
-                          applied:
-                            type: bool
-                            description: Was the corrector used?
-                            m_annotations:
-                              eln:
-                                component: BoolEditQuantity
-              # ibeam_column:
-              # ebeam_deflector:
-              # ibeam_deflector:
-              # stage_lab:
-              optical_system_em:
-                section:
-                  description: Qualifying the electron optical system
-                  m_annotations:
-                    eln:
-                  quantities:
-                    camera_length:
-                      type: np.float64
-                      unit: meter
-                      m_annotations:
-                        eln:
-                          component: NumberEditQuantity
-                          defaultDisplayUnit: m
-                          minValue: 0.0
-                    magnification:
-                      type: np.float64
-                      m_annotations:
-                        eln:
-                          component: NumberEditQuantity
-                          minValue: 1.0
-                    defocus:
-                      type: np.float64
-                      unit: meter
-                      m_annotations:
-                        eln:
-                          component: NumberEditQuantity
-                          defaultDisplayUnit: nm
-                    semi_convergence_angle:
-                      type: np.float64
-                      unit: radian
-                      m_annotations:
-                        eln:
-                          component: NumberEditQuantity
-                          defaultDisplayUnit: radian
-                    # field_of_view:
-                    #   type: np.float64
-                    #   unit: meter
-                    #   m_annotations:
-                    #     eln:
-                    #       component: NumberEditQuantity
-                    #       defaultDisplayUnit: nm
-                    working_distance:
-                      type: np.float64
-                      unit: meter
-                      m_annotations:
-                        eln:
-                          component: NumberEditQuantity
-                          defaultDisplayUnit: mm
-                    beam_current:
-                      type: np.float64
-                      unit: ampere
-                      m_annotations:
-                        eln:
-                           component: NumberEditQuantity
-                           defaultDisplayUnit: picoampere
-                           minValue: 0.0
-                    beam_current_description:
-                      type: str
-                      m_annotations:
-                        eln:
-                          component: StringEditQuantity
-              detector:
-                repeats: true
-                section:
-                  description: |
-                    Description of the type of detector.
-                  m_annotations:
-                    eln:
-                  quantities:
-                    local_name:
-                      type: str
-                      description: Instrument-specific alias/name
-                      m_annotations:
-                        eln:
-                          component: StringEditQuantity
-              # (NXpump)
-              stage_lab:
-                section:
-                  description: A stage lab which can hold, align, orient, and prepare a specimen.
-                  m_annotations:
-                    eln:
-                  quantities:
-                    name:
-                      type: str
-                      description: Given name/alias for the stage.
-                      m_annotations:
-                        eln:
-                          component: StringEditQuantity
-                    description:
-                      type: str
-                      description: Ideally, a (globally) unique persistent identifier, link, or text to a resource which gives further details.
-                      m_annotations:
-                        eln:
-                          component: StringEditQuantity

From 2256d722895df64030fb377a1ac71c3488b1d556 Mon Sep 17 00:00:00 2001
From: mkuehbach <markus.kuehbach@physik.hu-berlin.de>
Date: Tue, 19 Mar 2024 09:28:32 +0100
Subject: [PATCH 19/58] This is a tracking branch to be used for creating
 specific development installations of the pynxtools-apm and pynxtools-em
 readers to enable a consolidation and testing of the correct NeXus
 definitions on the fairmat branch that needs to be negotiated when creating a
 pypi version for pynxtools which supports definitions that are working with
 all dependant pynxtools-plugin(s)

---
 pynxtools/definitions | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pynxtools/definitions b/pynxtools/definitions
index 7a4760953..cca9a34ff 160000
--- a/pynxtools/definitions
+++ b/pynxtools/definitions
@@ -1 +1 @@
-Subproject commit 7a47609530ec312fcb7dd6fad6f2194d0cadc4c6
+Subproject commit cca9a34ffd7f177d17e534848b1a0ee555c89b74

From 0e7690a395a13f0e7320efb71a2924ef33ffcd49 Mon Sep 17 00:00:00 2001
From: mkuehbach <markus.kuehbach@physik.hu-berlin.de>
Date: Tue, 19 Mar 2024 09:45:46 +0100
Subject: [PATCH 20/58] Removing EM test for now

---
 tests/nexus/test_nexus.py | 16 ----------------
 1 file changed, 16 deletions(-)

diff --git a/tests/nexus/test_nexus.py b/tests/nexus/test_nexus.py
index 656c27e29..072139333 100644
--- a/tests/nexus/test_nexus.py
+++ b/tests/nexus/test_nexus.py
@@ -110,22 +110,6 @@ def test_get_node_at_nxdl_path():
     node = nexus.get_node_at_nxdl_path("/ENTRY/measurement", elem=elem)
     assert node.attrib["type"] == "NXevent_data_em_set"
 
-    node = nexus.get_node_at_nxdl_path(
-        "/ENTRY/measurement/EVENT_DATA_EM/SPECTRUM_SET/summary", elem=elem
-    )
-    assert node.attrib["type"] == "NXdata"
-
-    node = nexus.get_node_at_nxdl_path(
-        "/ENTRY/measurement/EVENT_DATA_EM/SPECTRUM_SET/summary/DATA", elem=elem
-    )
-    assert node.attrib["type"] == "NX_NUMBER"
-
-    node = nexus.get_node_at_nxdl_path(
-        "/ENTRY/measurement/EVENT_DATA_EM/SPECTRUM_SET/summary/AXISNAME_indices",
-        elem=elem,
-    )
-    assert node.attrib["name"] == "AXISNAME_indices"
-
     node = nexus.get_node_at_nxdl_path("/ENTRY/COORDINATE_SYSTEM_SET", elem=elem)
     assert node.attrib["type"] == "NXcoordinate_system_set"
 

From 6d0fb861bfb33a5b13def74e220a6bbeb8d00880 Mon Sep 17 00:00:00 2001
From: mkuehbach <markus.kuehbach@physik.hu-berlin.de>
Date: Tue, 19 Mar 2024 10:02:10 +0100
Subject: [PATCH 21/58] Removed further unused dependencies as mentioned by
 @domna

---
 dev-requirements.txt | 22 ++--------------------
 pyproject.toml       |  5 -----
 2 files changed, 2 insertions(+), 25 deletions(-)

diff --git a/dev-requirements.txt b/dev-requirements.txt
index 485b31252..9908d66cf 100644
--- a/dev-requirements.txt
+++ b/dev-requirements.txt
@@ -40,16 +40,10 @@ exceptiongroup==1.2.0
     # via pytest
 filelock==3.13.1
     # via virtualenv
-flatdict==4.0.1
-    # via pynxtools (pyproject.toml)
 fonttools==4.45.1
     # via matplotlib
 ghp-import==2.1.0
     # via mkdocs
-gitdb==4.0.11
-    # via gitpython
-gitpython==3.1.40
-    # via pynxtools (pyproject.toml)
 h5py==3.10.0
     # via pynxtools (pyproject.toml)
 identify==2.5.33
@@ -165,8 +159,6 @@ pytz==2023.3.post1
     # via
     #   pandas
     #   pynxtools (pyproject.toml)
-pytz-deprecation-shim==0.1.0.post0
-    # via tzlocal
 pyyaml==6.0.1
     # via
     #   mkdocs
@@ -184,13 +176,9 @@ requests==2.31.0
 ruff==0.1.7
     # via pynxtools (pyproject.toml)
 scipy==1.9.1
-    # via
-    #   ase
-    #   pynxtools (pyproject.toml)
+    # via ase
 six==1.16.0
     # via python-dateutil
-smmap==5.0.1
-    # via gitdb
 structlog==23.2.0
     # via pynxtools (pyproject.toml)
 termcolor==2.4.0
@@ -212,11 +200,7 @@ types-requests==2.31.0.10
 typing-extensions==4.8.0
     # via mypy
 tzdata==2023.3
-    # via
-    #   pandas
-    #   pytz-deprecation-shim
-tzlocal==4.3
-    # via pynxtools (pyproject.toml)
+    # via pandas
 urllib3==2.1.0
     # via
     #   requests
@@ -229,8 +213,6 @@ wheel==0.42.0
     # via pip-tools
 xarray==2023.1.0
     # via pynxtools (pyproject.toml)
-zipfile37==0.1.3
-    # via pynxtools (pyproject.toml)
 zipp==3.17.0
     # via importlib-metadata
 
diff --git a/pyproject.toml b/pyproject.toml
index 363e42bf4..b49502781 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -31,12 +31,7 @@ dependencies = [
     "numpy>=1.21.2",
     "pandas>=1.3.2",
     "ase>=3.19.0",
-    "flatdict>=4.0.1",
-    "gitpython>=3.1.24",
     "pytz>=2021.1",
-    "zipfile37==0.1.3",
-    "tzlocal<=4.3",
-    "scipy>=1.7.1",
     "mergedeep",
     "importlib-metadata",
 ]

From 088cb4a7e82cfc2f4e2fb39eb293469c9e24ca5b Mon Sep 17 00:00:00 2001
From: RubelMozumder <32923026+RubelMozumder@users.noreply.github.com>
Date: Tue, 19 Mar 2024 10:13:02 +0100
Subject: [PATCH 22/58] removeing xrd folder. (#287)

* removeing xrd folder.

* Removing XRD test files.
---
 pynxtools/dataconverter/readers/xrd/README.md |  40 --
 .../dataconverter/readers/xrd/__init__.py     |  15 -
 pynxtools/dataconverter/readers/xrd/config.py | 168 -------
 pynxtools/dataconverter/readers/xrd/reader.py | 181 -------
 .../dataconverter/readers/xrd/xrd_helper.py   | 320 ------------
 .../dataconverter/readers/xrd/xrd_parser.py   | 475 ------------------
 .../readers/xrd/ACZCTS_5-60_181.xrdml         | 106 ----
 7 files changed, 1305 deletions(-)
 delete mode 100644 pynxtools/dataconverter/readers/xrd/README.md
 delete mode 100644 pynxtools/dataconverter/readers/xrd/__init__.py
 delete mode 100644 pynxtools/dataconverter/readers/xrd/config.py
 delete mode 100644 pynxtools/dataconverter/readers/xrd/reader.py
 delete mode 100644 pynxtools/dataconverter/readers/xrd/xrd_helper.py
 delete mode 100644 pynxtools/dataconverter/readers/xrd/xrd_parser.py
 delete mode 100644 tests/data/dataconverter/readers/xrd/ACZCTS_5-60_181.xrdml

diff --git a/pynxtools/dataconverter/readers/xrd/README.md b/pynxtools/dataconverter/readers/xrd/README.md
deleted file mode 100644
index 7ec09f543..000000000
--- a/pynxtools/dataconverter/readers/xrd/README.md
+++ /dev/null
@@ -1,40 +0,0 @@
-# XRD Reader
-With the XRD reader, data from X-ray diffraction experiment can be read and written into a NeXus file (h5 type file with extension .nxs) according to NXxrd_pan application definition in [NeXus](https://github.com/FAIRmat-NFDI/nexus_definitions). There are a few different methods of measuring XRD: 1. θ:2θ instruments (e.g. Rigaku H3R), and 2. θ:θ instrument (e.g. PANalytical X’Pert Pro). The goal with this reader is to support both of these methods.
-
-**NOTE: This reader is still under development. As of now, the reader can only handle files with the extension `.xrdml` , obtained with PANalytical X’Pert Pro version 1.5 (method 2 described above). Currently we are wtoking to include more file types and file versions.**
-
-## Contact Person in FAIRmat
-In principle, you can reach out to any member of Area B of the FAIRmat consortium, but Rubel Mozumder could be more reasonable for the early response.
-
-## Parsers
-Though, in computer science, parser is a process that reads code into smaller parts (called tocken) with relations among tockens in a tree diagram. The process helps compiler to understand the tocken relationship of the source code.
-
-The XRD reader calls a program or class (called parser) that reads the experimenal input file and re-organises the different physical/experiment concepts or properties in a certain structure which is defined by developer.
-
-### class pynxtools.dataconverter.readers.xrd.xrd_parser.XRDMLParser
-
-    **inputs:**
-        file_path: Full path of the input file.
-
-    **Important method:**
-        get_slash_separated_xrd_dict() -> dict
-
-        This method can be used to check if all the data from the input file have been read or not, it returns the slash separated dict as described.
-
-
-### Other Parsers
-    **Coming Soon!!**
-
-### How To
-The reader can be run from Jupyter-notebook or Jupyter-lab with the following command:
-
-```sh
- ! dataconverter \
---reader xrd \
---nxdl NXxrd_pan \
-$<xps-file location> \
-$<eln-file location> \
---output <output-file location>.nxs
-```
-
-An example file can be found here in GitLab in [nomad-remote-tools-hub](https://gitlab.mpcdf.mpg.de/nomad-lab/nomad-remote-tools-hub/-/tree/develop/docker/xrd) feel free to vist and try out the reader.
diff --git a/pynxtools/dataconverter/readers/xrd/__init__.py b/pynxtools/dataconverter/readers/xrd/__init__.py
deleted file mode 100644
index d4ec4a8cc..000000000
--- a/pynxtools/dataconverter/readers/xrd/__init__.py
+++ /dev/null
@@ -1,15 +0,0 @@
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
diff --git a/pynxtools/dataconverter/readers/xrd/config.py b/pynxtools/dataconverter/readers/xrd/config.py
deleted file mode 100644
index 10d5eddce..000000000
--- a/pynxtools/dataconverter/readers/xrd/config.py
+++ /dev/null
@@ -1,168 +0,0 @@
-"""This is config file that mainly maps nexus definition to data path in raw file."""
-
-# pylint: disable=C0301
-xrdml = {
-    "/ENTRY[entry]/2theta_plot/chi": {
-        "xrdml_1.5": {"value": "", "@units": "", "@chi_indices": 0},
-    },
-    "/ENTRY[entry]/2theta_plot/intensity": {
-        "xrdml_1.5": {
-            "value": "/xrdMeasurements/xrdMeasurement/scan/dataPoints/intensities",
-            "@units": "counts/s",
-        }
-    },
-    "/ENTRY[entry]/2theta_plot/omega": {
-        "xrdml_1.5": {"value": "", "@units": "", "@omega_indices": 1},
-    },
-    "/ENTRY[entry]/2theta_plot/title": "Intensity Vs. Two Theta (deg.)",
-    "/ENTRY[entry]/2theta_plot/phi": {
-        "xrdml_1.5": {"value": "", "@units": "", "@phi_indices": 0},
-    },
-    "/ENTRY[entry]/2theta_plot/two_theta": {
-        "xrdml_1.5": {"value": "", "@units": "deg", "@two_theta_indices": 0},
-    },
-    "/ENTRY[entry]/COLLECTION[collection]/beam_attenuation_factors": {
-        "xrdml_1.5": {"value": "/beamAttenuationFactors", "@units": ""},
-    },
-    "/ENTRY[entry]/COLLECTION[collection]/omega/start": {
-        "xrdml_1.5": {
-            "value": "/xrdMeasurements/xrdMeasurement/scan/dataPoints/positions_2/startPosition",
-            "@units": "/xrdMeasurements/xrdMeasurement/scan/dataPoints/positions_2/unit",
-        },
-    },
-    "/ENTRY[entry]/COLLECTION[collection]/omega/end": {
-        "xrdml_1.5": {
-            "value": "/xrdMeasurements/xrdMeasurement/scan/dataPoints/positions_2/endPosition",
-            "@units": "/xrdMeasurements/xrdMeasurement/scan/dataPoints/positions_2/unit",
-        },
-    },
-    "/ENTRY[entry]/COLLECTION[collection]/omega/step": {
-        "xrdml_1.5": {
-            "value": "/xrdMeasurements/comment/entry_2/MinimumstepsizeOmega",
-            "@units": "/xrdMeasurements/xrdMeasurement/scan/dataPoints/positions_2/unit",
-        },
-    },
-    "/ENTRY[entry]/COLLECTION[collection]/2theta/start": {
-        "xrdml_1.5": {
-            "value": "/xrdMeasurements/xrdMeasurement/scan/dataPoints/positions_1/startPosition",
-            "@units": "/xrdMeasurements/xrdMeasurement/scan/dataPoints/positions_1/unit",
-        },
-    },
-    "/ENTRY[entry]/COLLECTION[collection]/2theta/end": {
-        "xrdml_1.5": {
-            "value": "/xrdMeasurements/xrdMeasurement/scan/dataPoints/positions_1/endPosition",
-            "@units": "/xrdMeasurements/xrdMeasurement/scan/dataPoints/positions_1/unit",
-        },
-    },
-    "/ENTRY[entry]/COLLECTION[collection]/2theta/step": {
-        "xrdml_1.5": {
-            "value": "/xrdMeasurements/comment/entry_2/Minimumstepsize2Theta",
-            "@units": "/xrdMeasurements/xrdMeasurement/scan/dataPoints/positions_1/unit",
-        },
-    },
-    "/ENTRY[entry]/COLLECTION[collection]/count_time": {
-        "xrdml_1.5": {
-            "value": "/xrdMeasurements/xrdMeasurement/scan/dataPoints/commonCountingTime",
-            "@units": "/xrdMeasurements/xrdMeasurement/scan/dataPoints/commonCountingTime/unit",
-        },
-    },
-    "/ENTRY[entry]/COLLECTION[collection]/data_file": {"xrdml_1.5": {"value": ""}},
-    "/ENTRY[entry]/COLLECTION[collection]/goniometer_x": {
-        "xrdml_1.5": {"value": "/X", "@units": ""},
-    },
-    "/ENTRY[entry]/COLLECTION[collection]/goniometer_y": {
-        "xrdml_1.5": {"value": "/Y", "@units": ""},
-    },
-    "/ENTRY[entry]/COLLECTION[collection]/goniometer_z": {
-        "xrdml_1.5": {"value": "/Z", "@units": ""},
-    },
-    "/ENTRY[entry]/COLLECTION[collection]/measurement_type": {
-        "xrdml_1.5": {
-            "value": "/xrdMeasurements/xrdMeasurement/measurementType",
-            "@units": "",
-        },
-    },
-    "/ENTRY[entry]/INSTRUMENT[instrument]/DETECTOR[detector]/integration_time": {
-        "xrdml_1.5": {"value": "", "@units": ""},
-    },
-    "/ENTRY[entry]/INSTRUMENT[instrument]/DETECTOR[detector]/integration_time/@units": {
-        "xrdml_1.5": {"value": "", "@units": ""},
-    },
-    "/ENTRY[entry]/INSTRUMENT[instrument]/DETECTOR[detector]/scan_axis": {
-        "xrdml_1.5": {
-            "value": "/xrdMeasurements/xrdMeasurement/scan/scanAxis",
-            "@units": "",
-        },
-    },
-    "/ENTRY[entry]/INSTRUMENT[instrument]/DETECTOR[detector]/scan_mode": {
-        "xrdml_1.5": {
-            "value": "/xrdMeasurements/xrdMeasurement/scan/mode",
-            "@units": "",
-        },
-    },
-    "/ENTRY[entry]/INSTRUMENT[instrument]/SOURCE[source]/k_alpha_one": {
-        "xrdml_1.5": {
-            "value": "/xrdMeasurements/xrdMeasurement/usedWavelength/kAlpha1",
-            "@units": "/xrdMeasurements/xrdMeasurement/usedWavelength/kAlpha1/unit",
-        },
-    },
-    "/ENTRY[entry]/INSTRUMENT[instrument]/SOURCE[source]/k_alpha_two": {
-        "xrdml_1.5": {
-            "value": "/xrdMeasurements/xrdMeasurement/usedWavelength/kAlpha2",
-            "@units": "/xrdMeasurements/xrdMeasurement/usedWavelength/kAlpha2/unit",
-        },
-    },
-    "/ENTRY[entry]/INSTRUMENT[instrument]/SOURCE[source]/kbeta": {
-        "xrdml_1.5": {
-            "value": "/xrdMeasurements/xrdMeasurement/usedWavelength/kBeta",
-            "@units": "/xrdMeasurements/xrdMeasurement/usedWavelength/kBeta/unit",
-        },
-    },
-    "/ENTRY[entry]/INSTRUMENT[instrument]/SOURCE[source]/ratio_k_alphatwo_k_alphaone": {
-        "xrdml_1.5": {"value": "", "@units": ""}
-    },
-    "/ENTRY[entry]/INSTRUMENT[instrument]/SOURCE[source]/xray_tube_current": {
-        "xrdml_1.5": {
-            "value": "/xrdMeasurements/xrdMeasurement/incidentBeamPath/xRayTube/current",
-            "@units": "/xrdMeasurements/xrdMeasurement/incidentBeamPath/xRayTube/current/unit",
-        }
-    },
-    "/ENTRY[entry]/INSTRUMENT[instrument]/SOURCE[source]/source_peak_wavelength": {
-        "xrdml_1.5": {"value": "", "@units": ""}
-    },
-    "/ENTRY[entry]/INSTRUMENT[instrument]/SOURCE[source]/xray_tube_material": {
-        "xrdml_1.5": {
-            "value": "/xrdMeasurements/xrdMeasurement/incidentBeamPath/xRayTube/anodeMaterial",
-            "@units": "",
-        },
-    },
-    "/ENTRY[entry]/INSTRUMENT[instrument]/SOURCE[source]/xray_tube_voltage": {
-        "xrdml_1.5": {
-            "value": "/xrdMeasurements/xrdMeasurement/incidentBeamPath/xRayTube/tension",
-            "@units": "/xrdMeasurements/xrdMeasurement/incidentBeamPath/xRayTube/tension/unit",
-        }
-    },
-    "/ENTRY[entry]/SAMPLE[sample]/prepared_by": {"xrdml_1.5": {"value": ""}},
-    "/ENTRY[entry]/SAMPLE[sample]/sample_id": {
-        "xrdml_1.5": {"value": ""},
-    },
-    "/ENTRY[entry]/SAMPLE[sample]/sample_mode": {
-        "xrdml_1.5": {"value": ""},
-    },
-    "/ENTRY[entry]/SAMPLE[sample]/sample_name": {
-        "xrdml_1.5": {"value": ""},
-    },
-    "/ENTRY[entry]/definition": "NXxrd_pan",
-    "/ENTRY[entry]/method": "X-Ray Diffraction (XRD)",
-    "/ENTRY[entry]/q_plot/intensity": {
-        "xrdml_1.5": {
-            "value": "/xrdMeasurements/xrdMeasurement/scan/dataPoints/intensities",
-            "@units": "counts/s",
-        },
-    },
-    "/ENTRY[entry]/q_plot/q": {
-        "xrdml_1.5": {"value": "", "@units": ""},
-    },
-    "/@default": "entry",
-    "/ENTRY[entry]/@default": "2theta_plot",
-}
diff --git a/pynxtools/dataconverter/readers/xrd/reader.py b/pynxtools/dataconverter/readers/xrd/reader.py
deleted file mode 100644
index 246872a76..000000000
--- a/pynxtools/dataconverter/readers/xrd/reader.py
+++ /dev/null
@@ -1,181 +0,0 @@
-"""XRD reader."""
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-
-from typing import Tuple, Any, Dict, Union
-import json
-from pathlib import Path
-import xml.etree.ElementTree as ET
-
-import yaml
-
-from pynxtools.dataconverter.helpers import (
-    generate_template_from_nxdl,
-    validate_data_dict,
-)
-from pynxtools.dataconverter.template import Template
-from pynxtools.dataconverter.readers.xrd.xrd_parser import parse_and_fill_template
-from pynxtools.dataconverter.readers.utils import flatten_and_replace, FlattenSettings
-from pynxtools.dataconverter.readers.base.reader import BaseReader
-
-CONVERT_DICT: Dict[str, str] = {
-    "unit": "@units",
-    "Instrument": "INSTRUMENT[instrument]",
-    "Source": "SOURCE[source]",
-    "Detector": "DETECTOR[detector]",
-    "Collection": "COLLECTION[collection]",
-    "Sample": "SAMPLE[sample]",
-    "version": "@version",
-    "User": "USER[user]",
-}
-
-
-# Global var to collect the root from get_template_from_nxdl_name()
-# and use it in the the the varidate_data_dict()
-ROOT: ET.Element = None
-REPLACE_NESTED: Dict[str, Any] = {}
-XRD_FILE_EXTENSIONS = [".xrdml", "xrdml", ".udf", ".raw", ".xye"]
-
-
-def get_template_from_nxdl_name(nxdl_name):
-    """Generate template from nxdl name.
-
-    Example of nxdl name could be NXxrd_pan.
-    Parameters
-    ----------
-    nxdl_name : str
-        Name of nxdl file e.g. NXmpes
-
-    Returns
-    -------
-    Template
-        Empty template.
-
-    Raises
-    ------
-    ValueError
-        Error if nxdl file is not found.
-    """
-    nxdl_file = nxdl_name + ".nxdl.xml"
-    current_path = Path(__file__)
-    def_path = current_path.parent.parent.parent.parent / "definitions"
-    # Check contributed defintions
-    full_nxdl_path = Path(def_path, "contributed_definitions", nxdl_file)
-    root = None
-    if full_nxdl_path.exists():
-        root = ET.parse(full_nxdl_path).getroot()
-    else:
-        # Check application definition
-        full_nxdl_path = Path(def_path, "applications", nxdl_file)
-
-    if root is None and full_nxdl_path.exists():
-        root = ET.parse(full_nxdl_path).getroot()
-    else:
-        full_nxdl_path = Path(def_path, "base_classes", nxdl_file)
-
-    if root is None and full_nxdl_path.exists():
-        root = ET.parse(full_nxdl_path).getroot()
-    elif root is None:
-        raise ValueError("Need correct NXDL name")
-
-    template = Template()
-    generate_template_from_nxdl(root=root, template=template)
-    return template
-
-
-def get_template_from_xrd_reader(nxdl_name, file_paths):
-    """Get filled template from reader.
-
-    Parameters
-    ----------
-    nxdl_name : str
-        Name of nxdl definition
-    file_paths : Tuple[str]
-        Tuple of path of files.
-
-    Returns
-    -------
-    Template
-        Template which is a map from NeXus concept path to value.
-    """
-
-    template = get_template_from_nxdl_name(nxdl_name)
-
-    data = XRDReader().read(template=template, file_paths=file_paths)
-    validate_data_dict(template=template, data=data, nxdl_root=ROOT)
-    return data
-
-
-# pylint: disable=too-few-public-methods
-class XRDReader(BaseReader):
-    """Reader for XRD."""
-
-    supported_nxdls = ["NXxrd_pan"]
-
-    def read(
-        self,
-        template: dict = None,
-        file_paths: Tuple[str] = None,
-        objects: Tuple[Any] = None,
-    ):
-        """General read menthod to prepare the template."""
-
-        if not isinstance(file_paths, tuple) and not isinstance(file_paths, list):
-            file_paths = (file_paths,)
-        filled_template: Union[Dict, None] = Template()
-        eln_dict: Union[Dict[str, Any], None] = None
-        config_dict: Dict = {}
-        xrd_file: str = ""
-        xrd_file_ext: str = ""
-        for file in file_paths:
-            ext = "".join(Path(file).suffixes)
-            if ext == ".json":
-                with open(file, mode="r", encoding="utf-8") as fl_obj:
-                    config_dict = json.load(fl_obj)
-            elif ext in [".yaml", ".yml"]:
-                with open(file, mode="r", encoding="utf-8") as fl_obj:
-                    eln_dict = flatten_and_replace(
-                        FlattenSettings(
-                            yaml.safe_load(fl_obj), CONVERT_DICT, REPLACE_NESTED
-                        )
-                    )
-            elif ext in XRD_FILE_EXTENSIONS:
-                xrd_file_ext = ext
-                xrd_file = file
-        if xrd_file:
-            parse_and_fill_template(template, xrd_file, config_dict, eln_dict)
-        else:
-            raise ValueError(
-                f"Allowed XRD experimental with extenstion from"
-                f" {XRD_FILE_EXTENSIONS} found {xrd_file_ext}"
-            )
-
-        # Get rid of empty concept and cleaning up Template
-        for key, val in template.items():
-            if val is None:
-                del template[key]
-            else:
-                filled_template[key] = val
-        if not filled_template.keys():
-            raise ValueError(
-                "Reader could not read anything! Check for input files and the"
-                " corresponding extention."
-            )
-        return filled_template
-
-
-READER = XRDReader
diff --git a/pynxtools/dataconverter/readers/xrd/xrd_helper.py b/pynxtools/dataconverter/readers/xrd/xrd_helper.py
deleted file mode 100644
index 22b5ec3f8..000000000
--- a/pynxtools/dataconverter/readers/xrd/xrd_helper.py
+++ /dev/null
@@ -1,320 +0,0 @@
-"""XRD helper stuffs."""
-
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-import warnings
-import numpy as np
-from pynxtools.dataconverter.helpers import transform_to_intended_dt
-from pynxtools.dataconverter.template import Template
-
-
-class KeyValueNotFoundWaring(Warning):
-    """New Wanrning class"""
-
-
-def get_a_value_or_warn(
-    return_value="",
-    warning_catagory=KeyValueNotFoundWaring,
-    message="Key-value not found.",
-    stack_level=2,
-):
-    """It returns a value that and rase the warning massage."""
-
-    warnings.warn(f"\033[1;31m {message}:\033[0m]", warning_catagory, stack_level)
-    return return_value
-
-
-def check_unit(unit: str):
-    """Handle conflicted unit.
-    Some units comes with verdor file that do not follow correct format.
-    """
-    if unit is None:
-        return unit
-    unit_map = {
-        "Angstrom": "\u212B",
-    }
-    correct_unit = unit_map.get(unit, None)
-    if correct_unit is None:
-        return unit
-    return correct_unit
-
-
-# pylint: disable=too-many-statements
-def feed_xrdml_to_template(template, xrd_dict, eln_dict, file_term, config_dict=None):
-    """Fill template with data from xrdml type file.
-
-    Parameters
-    ----------
-    template : Dict
-        Template generated from nxdl definition file.
-    xrd_dict : dict
-        Just a dict mapping slash separated key to the data. The key is equivalent to the
-        path directing the location in data file.
-    eln_dict : dict
-        That brings the data from user especially using NeXus according to NeXus concept.
-    file_term : str
-        Terminological string to describe file ext. and version (e.g. xrdml_1.5) to find proper
-        dict from config file.
-    config_dict : Dict
-        Dictionary from config file that maps NeXus concept to data from different data file
-        versions. E.g.
-        {
-         "/ENTRY[entry]/2theta_plot/chi": {"file_exp": {"value": "",
-                                                        "@units": ""},},
-         "/ENTRY[entry]/2theta_plot/intensity": {"file_exp": {"value": "/detector",
-                                                              "@units": ""},}
-         }
-    """
-
-    def fill_template_from_config_data(
-        config_dict: dict, template: Template, xrd_dict: dict, file_term: str
-    ) -> None:
-        """
-        Parameters
-        ----------
-        config_dict : dict
-            Python dict that is nested dict for different file versions.
-            e.g.
-            {"/ENTRY[entry]/2theta_plot/chi": {"file_exp": {"value": "",
-                                                    "@units": ""},},
-            "/ENTRY[entry]/2theta_plot/intensity": {"file_exp": {"value": "/detector",
-                                                            "@units": ""},}
-            }
-        template : Template
-
-        Return
-        ------
-        None
-        """
-        for nx_key, val in config_dict.items():
-            if isinstance(val, dict):
-                raw_data_des: dict = val.get(file_term, None)
-                if raw_data_des is None:
-                    raise ValueError(
-                        f"conflict file config file does not have any data map"
-                        f" for file {file_term}"
-                    )
-                # the field does not have any value
-                if not raw_data_des.get("value", None):
-                    continue
-                # Note: path is the data path in raw file
-                for val_atr_key, path in raw_data_des.items():
-                    # data or field val
-                    if val_atr_key == "value":
-                        template[nx_key] = xrd_dict.get(path, None)
-                    elif path and val_atr_key == "@units":
-                        template[nx_key + "/" + val_atr_key] = check_unit(
-                            xrd_dict.get(path, None)
-                        )
-                    # attr e.g. @AXISNAME
-                    elif path and val_atr_key.startswith("@"):
-                        template[nx_key + "/" + val_atr_key] = xrd_dict.get(path, None)
-            if not isinstance(val, dict) and isinstance(val, str):
-                template[nx_key] = val
-
-    def two_theta_plot():
-        intesity = transform_to_intended_dt(
-            template.get("/ENTRY[entry]/2theta_plot/intensity", None)
-        )
-        if intesity is not None:
-            intsity_len = np.shape(intesity)[0]
-        else:
-            raise ValueError("No intensity is found")
-
-        two_theta_gr = "/ENTRY[entry]/2theta_plot/"
-        if template.get(f"{two_theta_gr}omega", None) is None:
-            omega_start = template.get(
-                "/ENTRY[entry]/COLLECTION[collection]/omega/start", None
-            )
-            omega_end = template.get(
-                "/ENTRY[entry]/COLLECTION[collection]/omega/end", None
-            )
-
-            template["/ENTRY[entry]/2theta_plot/omega"] = np.linspace(
-                float(omega_start), float(omega_end), intsity_len
-            )
-
-        if template.get(f"{two_theta_gr}two_theta", None) is None:
-            tw_theta_start = template.get(
-                "/ENTRY[entry]/COLLECTION[collection]/2theta/start", None
-            )
-            tw_theta_end = template.get(
-                "/ENTRY[entry]/COLLECTION[collection]/2theta/end", None
-            )
-            template[f"{two_theta_gr}two_theta"] = np.linspace(
-                float(tw_theta_start), float(tw_theta_end), intsity_len
-            )
-        template[two_theta_gr + "/" + "@axes"] = ["two_theta"]
-        template[two_theta_gr + "/" + "@signal"] = "intensity"
-
-    def q_plot():
-        q_plot_gr = "/ENTRY[entry]/q_plot"
-        alpha_2 = template.get(
-            "/ENTRY[entry]/INSTRUMENT[instrument]/SOURCE[source]/k_alpha_two", None
-        )
-        alpha_1 = template.get(
-            "/ENTRY[entry]/INSTRUMENT[instrument]/SOURCE[source]/k_alpha_one", None
-        )
-        two_theta: np.ndarray = template.get(
-            "/ENTRY[entry]/2theta_plot/two_theta", None
-        )
-        if two_theta is None:
-            raise ValueError("Two-theta data is not found")
-        if isinstance(two_theta, np.ndarray):
-            theta: np.ndarray = two_theta / 2
-        ratio_k = "/ENTRY[entry]/INSTRUMENT[instrument]/SOURCE[source]/ratio_k_alphatwo_k_alphaone"
-        if alpha_1 and alpha_2:
-            ratio = alpha_2 / alpha_1
-            template[ratio_k] = ratio
-            lamda = ratio * alpha_1 + (1 - ratio) * alpha_2
-            q_vec = (4 * np.pi / lamda) * np.sin(np.deg2rad(theta))
-            template[q_plot_gr + "/" + "q_vec"] = q_vec
-            template[q_plot_gr + "/" + "@q_vec_indicies"] = 0
-            template[q_plot_gr + "/" + "@axes"] = ["q_vec"]
-
-        template[q_plot_gr + "/" + "@signal"] = "intensity"
-
-    def handle_special_fields():
-        """Some fields need special treatment."""
-
-        key = "/ENTRY[entry]/COLLECTION[collection]/goniometer_x"
-        gonio_x = template.get(key, None)
-
-        template[key] = (
-            gonio_x[0]
-            if (isinstance(gonio_x, np.ndarray) and gonio_x.shape == (1,))
-            else gonio_x
-        )
-
-        key = "/ENTRY[entry]/COLLECTION[collection]/goniometer_y"
-        gonio_y = template.get(key, None)
-
-        template[key] = (
-            gonio_y[0]
-            if (isinstance(gonio_y, np.ndarray) and gonio_y.shape == (1,))
-            else gonio_y
-        )
-
-        key = "/ENTRY[entry]/COLLECTION[collection]/goniometer_z"
-        gonio_z = template.get(key, None)
-
-        template[key] = (
-            gonio_z[0]
-            if (isinstance(gonio_z, np.ndarray) and gonio_z.shape == (1,))
-            else gonio_z
-        )
-
-        key = "/ENTRY[entry]/COLLECTION[collection]/count_time"
-        count_time = template.get(key, None)
-
-        template[key] = (
-            count_time[0]
-            if (isinstance(count_time, np.ndarray) and count_time.shape == (1,))
-            else count_time
-        )
-
-    fill_template_from_config_data(config_dict, template, xrd_dict, file_term)
-    two_theta_plot()
-    q_plot()
-    handle_special_fields()
-
-    fill_template_from_eln_data(eln_dict, template)
-
-
-# pylint: disable=unused-argument
-def feed_udf_to_template(template, xrd_dict, eln_dict, config_dict):
-    """_summary_
-
-    Parameters
-    ----------
-    template : _type_
-        _description_
-    xrd_dict : _type_
-        _description_
-    eln_dict : _type_
-        _description_
-    config_dict : _type_
-        _description_
-    """
-
-
-def feed_raw_to_template(template, xrd_dict, eln_dict, config_dict):
-    """_summary_
-
-    Parameters
-    ----------
-    template : _type_
-        _description_
-    xrd_dict : _type_
-        _description_
-    eln_dict : _type_
-        _description_
-    config_dict : _type_
-        _description_
-    """
-
-
-def feed_xye_to_template(template, xrd_dict, eln_dict, config_dict):
-    """_summary_
-
-    Parameters
-    ----------
-    template : _type_
-        _description_
-    xrd_dict : _type_
-        _description_
-    eln_dict : _type_
-        _description_
-    config_dict : _type_
-        _description_
-    """
-
-
-def fill_template_from_eln_data(eln_data_dict, template):
-    """Fill out the template from dict that generated from eln yaml file.
-    Parameters:
-    -----------
-    eln_data_dict : dict[str, Any]
-        Python dictionary from eln file.
-    template : dict[str, Any]
-    Return:
-    -------
-    None
-    """
-
-    if eln_data_dict is None:
-        return
-    for e_key, e_val in eln_data_dict.items():
-        template[e_key] = transform_to_intended_dt(e_val)
-
-
-def fill_nxdata_from_xrdml(
-    template, xrd_flattend_dict, dt_nevigator_from_config_file, data_group_concept
-):
-    """_summary_
-
-    Parameters
-    ----------
-    template : _type_
-        _description_
-    xrd_flattend_dict : _type_
-        _description_
-    dt_nevigator_from_config_file : _type_
-        _description_
-    data_group_concept : _type_
-        _description_
-    """
diff --git a/pynxtools/dataconverter/readers/xrd/xrd_parser.py b/pynxtools/dataconverter/readers/xrd/xrd_parser.py
deleted file mode 100644
index 2dba3927e..000000000
--- a/pynxtools/dataconverter/readers/xrd/xrd_parser.py
+++ /dev/null
@@ -1,475 +0,0 @@
-"""
-XRD file parser collection.
-"""
-
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-from typing import Dict, Tuple, Optional, List
-
-from pathlib import Path
-import warnings
-import xml.etree.ElementTree as ET  # for XML parsing
-from pynxtools.dataconverter.helpers import (
-    transform_to_intended_dt,
-    remove_namespace_from_tag,
-)
-from pynxtools.dataconverter.readers.xrd.xrd_helper import feed_xrdml_to_template
-
-
-def fill_slash_sep_dict_from_nested_dict(
-    parent_path: str, nested_dict: dict, slash_sep_dict: dict
-):
-    """Convert a nested dict into slash separated dict.
-
-    Extend slash_sep_dict by key (slash separated key) from nested dict.
-
-    Parameters
-    ----------
-    parent_path : str
-        Parent path to be appended at the starting of slash separated key.
-    nested_dict : dict
-        Dict nesting other dict.
-    slash_sep_dict : dict
-        Plain dict to be extended by key value generated from nested_dict.
-    """
-    for key, val in nested_dict.items():
-        slash_sep_path = parent_path + key
-        if isinstance(val, dict):
-            fill_slash_sep_dict_from_nested_dict(slash_sep_path, val, slash_sep_dict)
-        else:
-            slash_sep_dict[slash_sep_path] = val
-
-
-class IgnoreNodeTextWarning(Warning):
-    """Special class to warn node text skip."""
-
-
-class XRDMLParser:
-    """Parser for xrdml file with the help of other XRD library e.g. panalytical_xml."""
-
-    def __init__(self, file_path):
-        """Construct XRDMLParser obj.
-
-        Parameters
-        ----------
-        file_path : str
-            Path of the file.
-        """
-        # In future it can be utilised later it different versions of file
-        # self.__version = None
-        self.__xrd_dict = {}
-        self.__file_path = file_path
-        self.xrdml_version: str = ""
-        self.xml_root = ET.parse(self.__file_path).getroot()
-        self.find_version()
-        # Important note for key-val pair separator list: preceding elements have precedence on the
-        # on the following elements
-        self.key_val_pair_sprtr = (";", ",")
-        # Important note for key-val separator list: preceding elements have precedence on the
-        # on the following elements
-        self.key_val_sprtr = ("=", ":")
-
-    def find_version(self):
-        """To find xrdml file version."""
-        schema_loc = "{http://www.w3.org/2001/XMLSchema-instance}schemaLocation"
-        # str: 'http://www.xrdml.com/XRDMeasurement/1.5
-        version = self.xml_root.get(schema_loc).split(" ")[0]
-        self.xrdml_version = version.split("/")[-1]
-
-    def get_slash_separated_xrd_dict(self):
-        """Return a dict with slash separated key and value from xrd file.
-
-        The key is the slash separated string path for nested xml elements.
-
-        Returns
-        -------
-        dict:
-            Dictionary where key maps xml nested elements by slash separated str.
-        """
-        # To navigate different functions in future according to some parameters
-        # such as version, and data analysis module from panalytical_xml
-        self.handle_with_panalytical_module()
-        return self.__xrd_dict
-
-    def handle_with_panalytical_module(self):
-        """Handeling XRDml file by parsing xml file and Pnanalytical_xml parser
-
-        Panalytical module extends and constructs some array data from experiment settings
-        comes with xml file.
-        """
-        self.parse_each_elm(parent_path="/", xml_node=self.xml_root)
-        nested_data_dict: Dict[str, any] = {}
-        # Note: To use panalytical lib
-        # Extract other numerical data e.g. 'hkl', 'Omega', '2Theta', CountTime etc
-        # using panalytical_xml module
-        # parsed_data = XRDMLFile(self.__file_path)
-        # nested_data_dict = parsed_data.scan.ddict
-        fill_slash_sep_dict_from_nested_dict("/", nested_data_dict, self.__xrd_dict)
-
-    def process_node_text(self, parent_path, node_txt) -> None:
-        """Processing text of node
-
-        Parameters
-        ----------
-        parent_path : str
-            Starting str of the key when forming a string key.
-        node_txt : str
-            text from node.
-
-        Returns
-        ------
-        None
-        """
-        key_val_pairs = []
-        # get key-val pair
-        for sep in self.key_val_pair_sprtr:
-            if sep in node_txt:
-                key_val_pairs.extend(node_txt.split(sep))
-                break
-        # Separate key-val, build full path and
-        # store them in dict
-        if key_val_pairs:
-            for key_val in key_val_pairs:
-                for k_v_sep in self.key_val_sprtr:
-                    if k_v_sep in key_val:
-                        key, val = key_val.split(k_v_sep)
-                        key = key.replace(" ", "")
-                        self.__xrd_dict["/".join([parent_path, key])] = val
-                        break
-        # Handling array data comes as node text
-        else:
-            try:
-                self.__xrd_dict[parent_path] = transform_to_intended_dt(node_txt)
-            except ValueError:
-                warnings.warn(
-                    f"Element text {node_txt} is ignored from parseing!",
-                    IgnoreNodeTextWarning,
-                )
-
-    def parse_each_elm(
-        self,
-        parent_path,
-        xml_node,
-        multi_childs_tag: str = "",
-        tag_extensions: Optional[List[int]] = None,
-    ):
-        """Check each xml element and send the element to intended function.
-
-        Parameters
-        ----------
-        parent_path : str
-            Path to be in the starting of the key composing from element e.g. '/'.
-        xml_node : XML.Element
-            Any element except process instruction nodes.
-        multi_childs_tag : str
-            Tag that is available on several child nodes.
-        tag_extension : List[int]
-            List of extension of the child tag if there are several childs having the same
-            tag.
-
-        Returns
-        ------
-        None
-        """
-
-        tag = remove_namespace_from_tag(xml_node.tag)
-        # Take care of special node of 'entry' tag
-        if tag == "entry":
-            parent_path = self.parse_entry_elm(
-                parent_path, xml_node, multi_childs_tag, tag_extensions
-            )
-        else:
-            parent_path = self.parse_general_elm(
-                parent_path, xml_node, multi_childs_tag, tag_extensions
-            )
-
-        _, multi_childs_tag = self.has_multi_childs_with_same_tag(xml_node)
-        # List of tag extensions for child nodes which have the same tag.
-        tag_extensions = [0]
-        for child in iter(xml_node):
-            if child is not None:
-                self.parse_each_elm(
-                    parent_path, child, multi_childs_tag, tag_extensions
-                )
-
-    def has_multi_childs_with_same_tag(
-        self, parent_node: ET.Element
-    ) -> Tuple[bool, str]:
-        """Check for multiple childs that have the same tag.
-
-        Parameter:
-        ----------
-        parent_node : ET.Element
-            Parent node that might has multiple childs with the same tag.
-
-        Returns:
-        --------
-        Tuple[bool, str]
-            (true if multiple childs with the same tag, tag).
-        """
-        tag: str = None
-        for child in iter(parent_node):
-            temp_tag = remove_namespace_from_tag(child.tag)
-            if tag is None:
-                tag = temp_tag
-            else:
-                if tag == temp_tag:
-                    return (True, tag)
-
-        return (False, "")
-
-    def parse_general_elm(
-        self, parent_path, xml_node, multi_childs_tag, tag_extensions: List[int]
-    ):
-        """Handle general element except entry element.
-        Parameters
-        ----------
-        parent_path : str
-            Path to be in the starting of the key composing from element e.g. '/'.
-        xml_node : XML.Element
-            Any element except process instruction and entry nodes.
-        multi_childs_tag : str
-            Tag that is available on several siblings.
-        tag_extension : List[int]
-            List of extension of the shiblings tag if there are several shiblings having
-            the same tag.
-
-        Returns
-        -------
-        None
-        """
-
-        tag = remove_namespace_from_tag(xml_node.tag)
-        if tag == multi_childs_tag:
-            new_ext = tag_extensions[-1] + 1
-            tag = tag + "_" + str(new_ext)
-            tag_extensions.append(new_ext)
-
-        if parent_path == "/":
-            parent_path = parent_path + tag
-        else:
-            # New parent path ends with element tag
-            parent_path = "/".join([parent_path, tag])
-
-        node_attr = xml_node.attrib
-        if node_attr:
-            for key, val in node_attr.items():
-                # Some attr has namespace
-                key = remove_namespace_from_tag(key)
-                key = key.replace(" ", "_")
-                path_extend = "/".join([parent_path, key])
-                self.__xrd_dict[path_extend] = val
-
-        node_txt = xml_node.text
-        if node_txt:
-            self.process_node_text(parent_path, node_txt)
-
-        return parent_path
-
-    def parse_entry_elm(
-        self,
-        parent_path: str,
-        xml_node: ET.Element,
-        multi_childs_tag: str,
-        tag_extensions: List[int],
-    ):
-        """Handle entry element.
-
-        Parameters
-        ----------
-        parent_path : str
-            Path to be in the starting of the key composing from element e.g. '/'.
-        xml_node : XML.Element
-            Any entry node.
-        multi_childs_tag : str
-            Tag that is available on several siblings.
-        tag_extension : List[int]
-            List of extension of the shiblings tag if there are several shiblings having
-            the same tag.
-
-        Returns
-        -------
-        str:
-            Parent path.
-        """
-
-        tag = remove_namespace_from_tag(xml_node.tag)
-
-        if tag == multi_childs_tag:
-            new_ext = tag_extensions[-1] + 1
-            tag_extensions.append(new_ext)
-            tag = tag + "_" + str(new_ext)
-
-        if parent_path == "/":
-            parent_path = "/" + tag
-        else:
-            # Parent path ends with element tag
-            parent_path = "/".join([parent_path, tag])
-
-        node_attr = xml_node.attrib
-        if node_attr:
-            for key, val in node_attr.items():
-                # Some attributes have namespace
-                key = remove_namespace_from_tag(key)
-                path_extend = "/".join([parent_path, key])
-                self.__xrd_dict[path_extend] = val
-
-        # In entry element text must get special care on it
-        node_txt = xml_node.text
-        if node_txt:
-            self.process_node_text(parent_path, node_txt)
-
-        return parent_path
-
-
-class FormatParser:
-    """A class to identify and parse different file formats."""
-
-    def __init__(self, file_path):
-        """Construct FormatParser obj.
-
-        Parameters
-        ----------
-        file_path : str
-            XRD file to be parsed.
-
-        Returns
-        -------
-        None
-        """
-        self.file_path = file_path
-        self.file_parser = XRDMLParser(self.file_path)
-        # termilnological name of file to read config file
-        self.file_term = "xrdml_" + self.file_parser.xrdml_version
-
-    def get_file_format(self):
-        """Identifies the format of a given file.
-
-        Returns:
-        --------
-        str:
-            The file extension of the file.
-        """
-        file_extension = "".join(Path(self.file_path).suffixes)
-        return file_extension
-
-    def parse_xrdml(self):
-        """Parses a Panalytical XRDML file.
-
-        Returns
-        -------
-        dict
-            A dictionary containing the parsed XRDML data.
-        """
-        return self.file_parser.get_slash_separated_xrd_dict()
-
-    def parse_panalytical_udf(self):
-        """Parse the Panalytical .udf file.
-
-        Returns
-        -------
-        None
-            Placeholder for parsing .udf files.
-        """
-
-    def parse_bruker_raw(self):
-        """Parse the Bruker .raw file.
-
-        Returns
-        None
-        """
-
-    def parse_bruker_xye(self):
-        """Parse the Bruker .xye file.
-
-        Returns
-        None
-        """
-
-    # pylint: disable=import-outside-toplevel
-    def parse_and_populate_template(self, template, config_dict, eln_dict):
-        """Parse xrd file into dict and fill the template.
-
-        Parameters
-        ----------
-        template : Template
-            NeXus template generated from NeXus application definitions.
-        xrd_file : str
-            Name of the xrd file.
-        config_dict : dict
-            A dict geenerated from python
-        eln_dict : dict
-            A dict generatd from eln yaml file.
-        Returns:
-        None
-        """
-
-        xrd_dict = self.parse()
-        if len(config_dict) == 0 and self.file_parser.xrdml_version == "1.5":
-            from pynxtools.dataconverter.readers.xrd.config import xrdml
-
-            config_dict = xrdml
-        feed_xrdml_to_template(
-            template,
-            xrd_dict,
-            eln_dict,
-            file_term=self.file_term,
-            config_dict=config_dict,
-        )
-
-    def parse(self):
-        """Parses the file based on its format.
-
-        Returns:
-        dict
-            A dictionary containing the parsed data.
-
-        Raises:
-            ValueError: If the file format is unsupported.
-        """
-        file_format = self.get_file_format()
-        slash_sep_dict = {}
-        if file_format == ".xrdml":
-            slash_sep_dict = self.parse_xrdml()
-        # elif file_format == ".udf":
-        #     return self.parse_panalytical_udf()
-        # elif file_format == ".raw":
-        #     return self.parse_bruker_raw()
-        # elif file_format == ".xye":
-        #     return self.parse_bruker_xye()
-        # else:
-        #     raise ValueError(f"Unsupported file format: {file_format}")
-        return slash_sep_dict
-
-
-def parse_and_fill_template(template, xrd_file, config_dict, eln_dict):
-    """Parse xrd file and fill the template with data from that file.
-
-    Parameters
-    ----------
-    template : Template[dict]
-        Template gnenerated from nxdl definition.
-    xrd_file : str
-        Name of the xrd file with extension
-    config_dict : Dict
-        Dictionary from config.json or similar file.
-    eln_dict : Dict
-        Plain and '/' separated dictionary from yaml for ELN.
-    """
-
-    format_parser = FormatParser(xrd_file)
-    format_parser.parse_and_populate_template(template, config_dict, eln_dict)
diff --git a/tests/data/dataconverter/readers/xrd/ACZCTS_5-60_181.xrdml b/tests/data/dataconverter/readers/xrd/ACZCTS_5-60_181.xrdml
deleted file mode 100644
index 5af61b718..000000000
--- a/tests/data/dataconverter/readers/xrd/ACZCTS_5-60_181.xrdml
+++ /dev/null
@@ -1,106 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<xrdMeasurements xmlns="http://www.xrdml.com/XRDMeasurement/1.5" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.xrdml.com/XRDMeasurement/1.5 http://www.xrdml.com/XRDMeasurement/1.5/XRDMeasurement.xsd" status="Completed">
-	<comment>
-		<entry>Configuration=XYZ Stage, Owner=User-1, Creation date=02-Nov-17 2:08:05 PM</entry>
-		<entry>Goniometer=PW3050/60 (Theta/Theta); Minimum step size 2Theta:0.001; Minimum step size Omega:0.001</entry>
-		<entry>Sample stage=Programmable x,y,z stage; Minimum step size X:0.01; Minimum step size Y:0.01; Minimum step size Z:0.001</entry>
-		<entry>Diffractometer system=XPERT-PRO</entry>
-		<entry>Measurement program=D:\user\Pepe\program_files\BB_10-80_18min.xrdmp, Identifier={5202C7B3-EFFD-43D7-83CA-1A77018B086F}</entry>
-		<entry>Batch program=D:\user\Pepe\program_files\batch_5samples.xrdmp, Identifier={49B9A751-97B5-49F0-9CAA-E07AE5E71B6A}</entry>
-	</comment>
-	<sample type="To be analyzed">
-		<id></id>
-		<name></name>
-		<preparedBy></preparedBy>
-	</sample>
-	<xrdMeasurement measurementType="Scan" status="Completed" sampleMode="Reflection">
-		<comment>
-			<entry>PHD Lower Level = 4.02 (keV), PHD Upper Level = 11.26 (keV)</entry>
-		</comment>
-		<usedWavelength intended="K-Alpha">
-			<kAlpha1 unit="Angstrom">1.5405980</kAlpha1>
-			<kAlpha2 unit="Angstrom">1.5444260</kAlpha2>
-			<kBeta unit="Angstrom">1.3922500</kBeta>
-			<ratioKAlpha2KAlpha1>0.5000</ratioKAlpha2KAlpha1>
-		</usedWavelength>
-		<incidentBeamPath>
-			<radius unit="mm">240.00</radius>
-			<xRayTube id="1010048" name="Empyrean Cu LFF HR (9430 033 7310x) DK415251">
-				<tension unit="kV">40</tension>
-				<current unit="mA">40</current>
-				<anodeMaterial>Cu</anodeMaterial>
-				<focus type="Line">
-					<length unit="mm">12.0</length>
-					<width unit="mm">0.4</width>
-					<takeOffAngle unit="deg">6.0</takeOffAngle>
-				</focus>
-			</xRayTube>
-			<sollerSlit id="21010002" name="Soller slits 0.04 rad.">
-				<opening unit="rad">0.0400</opening>
-			</sollerSlit>
-			<mask id="22080003" name="Fixed incident beam mask 15 mm">
-				<width unit="mm">11.60</width>
-			</mask>
-			<divergenceSlit id="22010005" name="Fixed slit 1/4°" xsi:type="fixedDivergenceSlitType">
-				<distanceToSample unit="mm">140.00</distanceToSample>
-				<height unit="mm">0.38</height>
-			</divergenceSlit>
-		</incidentBeamPath>
-		<diffractedBeamPath>
-			<radius unit="mm">240.00</radius>
-			<antiScatterSlit id="22090010" name="AS slit 8.0 mm (PIXcel)" xsi:type="fixedAntiScatterSlitType">
-				<height unit="mm">8.00</height>
-			</antiScatterSlit>
-			<sollerSlit id="21010002" name="Soller slits 0.04 rad.">
-				<opening unit="rad">0.0400</opening>
-			</sollerSlit>
-			<filter id="20030001" name="Large beta-filter Nickel">
-				<material>Ni</material>
-				<thickness unit="mm">0.020</thickness>
-			</filter>
-			<detector id="7010015" name="PIXcel1D detector" xsi:type="rtmsDetectorType">
-				<phd>
-					<lowerLevel unit="%">25.0</lowerLevel>
-					<upperLevel unit="%">70.0</upperLevel>
-				</phd>
-				<mode>Scanning</mode>
-				<activeLength unit="deg">3.347</activeLength>
-			</detector>
-		</diffractedBeamPath>
-		<scan appendNumber="0" mode="Continuous" scanAxis="Gonio" status="Completed">
-			<header>
-				<startTimeStamp>2018-06-12T18:34:49+02:00</startTimeStamp>
-				<endTimeStamp>2018-06-12T18:53:34+02:00</endTimeStamp>
-				<author>
-					<name>cnu_xlab</name>
-				</author>
-				<source>
-					<applicationSoftware version="5.2a">Data Collector</applicationSoftware>
-					<instrumentControlSoftware version="2.2B 20140619">XPERT-PRO</instrumentControlSoftware>
-					<instrumentID>0000000011035964</instrumentID>
-				</source>
-			</header>
-			<dataPoints>
-				<positions axis="2Theta" unit="deg">
-					<startPosition>10.00656514</startPosition>
-					<endPosition>79.99097181</endPosition>
-				</positions>
-				<positions axis="Omega" unit="deg">
-					<startPosition>5.00328257</startPosition>
-					<endPosition>39.99548591</endPosition>
-				</positions>
-				<positions axis="X" unit="mm">
-					<commonPosition>0.00</commonPosition>
-				</positions>
-				<positions axis="Y" unit="mm">
-					<commonPosition>50.00</commonPosition>
-				</positions>
-				<positions axis="Z" unit="mm">
-					<commonPosition>7.868</commonPosition>
-				</positions>
-				<commonCountingTime unit="seconds">49.470</commonCountingTime>
-				<intensities unit="counts">2086 2053 2118 2024 2127 2128 2115 2093 2063 1985 2038 2118 2107 2136 2080 2150 2036 2039 2073 2025 2069 2028 2070 1975 1978 2068 2116 2075 2000 2082 1944 2037 1994 2061 2035 2132 2046 2133 1981 2066 1986 2008 2028 2052 2065 2136 2104 2096 1935 2029 2036 2023 1933 2023 2040 2080 1964 2003 1960 1940 2079 2102 1959 2058 1970 2002 1974 1955 1998 2025 2060 1908 2014 2037 1925 2028 1944 2052 2012 2002 2018 1977 2063 1963 2073 1963 1964 1904 1971 1979 1975 2012 2008 1988 1946 1990 1894 1990 1897 1979 1934 2009 1986 1978 1915 1915 2010 1953 1891 1978 1983 1997 1984 1959 2032 1990 1949 1959 1925 1978 1963 1879 2055 1883 1974 1949 1929 1987 2000 1893 1926 1961 1978 1920 1965 1962 1919 1930 2007 1970 1960 1904 2005 1946 1893 1950 1908 1906 1983 1885 1928 1882 1835 1916 1951 2040 1986 1905 1970 1889 1916 2011 1973 1898 1954 1935 1839 1977 1876 1834 1850 1844 1928 2021 1913 1858 1860 1800 1907 1844 1850 1856 1924 1896 1902 1910 1904 1881 1916 2005 1825 1881 1902 1986 1936 1860 1928 1935 1858 1918 1873 1854 1954 1807 1871 1778 1847 1898 1836 1861 1855 1907 1804 1907 1861 1833 1904 1835 1899 1862 1826 1881 1905 1876 1969 1962 1869 1888 1808 1770 1888 1865 1794 1852 1834 1851 1840 1846 1872 1850 1829 1818 1817 1869 1760 1888 1895 1866 1896 1807 1867 1834 1743 1835 1866 1817 1816 1821 1781 1828 1790 1836 1841 1774 1831 1825 1804 1795 1776 1888 1805 1771 1837 1857 1777 1758 1801 1864 1796 1808 1801 1798 1786 1758 1815 1865 1809 1767 1790 1785 1719 1869 1762 1819 1739 1855 1746 1796 1804 1748 1745 1787 1835 1826 1753 1823 1867 1833 1777 1761 1778 1806 1826 1833 1740 1735 1792 1788 1738 1704 1711 1767 1841 1749 1791 1850 1794 1735 1761 1863 1800 1673 1684 1738 1651 1779 1686 1700 1767 1737 1722 1805 1812 1746 1720 1647 1744 1746 1724 1739 1734 1697 1780 1684 1672 1699 1667 1685 1777 1647 1695 1761 1750 1700 1724 1719 1678 1726 1727 1653 1766 1753 1753 1729 1816 1708 1720 1661 1686 1812 1733 1823 1696 1716 1663 1727 1665 1731 1756 1698 1692 1726 1676 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525 534 534 542 547 573 548 549 521 572 560 510 569 550 589 558 547 584 552 564 548 538 591 539 585 564 598 557 566 583 551 532 581 593 497 553 621 590 565 589 593 580 570 515 565 531 553 542 583 576 545 583 530 534 558 580 548 553 580 582 541 564 541 547 549 532 566 535 536 543 560 536 550 566 530 455 525 530 550 578 533 585 576 562 525 521 542 522 575 548 529 603 522 515 510 522 571 582 521 548 577 575 588 570 589 593 604 577 599 584 612 579 615 621 577 625 579 574 551 546 592 578 558 602 567 566 559 564 551 559 534 553 613 568 498 536 504 531 544 493 563 518 527 538 539 551 534 553 529 602 533 530 542 528 541 582 586 541 512 602 540 504 507 557 516 552 527 548 539 512 504 506 539 529 527 530 552 522 516 540 510 544 550 521 556 578 517 594 520 576 490 582 563 543 588 603 570 558 561 580 521 533 542 604 512 573 549 551 548 542 546 545 536 541 572 523 600 580 577 570 559 575 561 607 591 545 601 625 571 639 647 612 617 655 690 756 864 895 957 1087 1232 1266 1418 1328 1237 1165 1057 1027 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642 624 566 620 617 632 594 651 643 657 648 620 585 593 609 667 537 591 590 589 609 642 607 591 591 555 544 622 571 607 585 554 594 595 612 585 584 572 632 595 535 547 559 570 562 542 537 532 567 541 592 568 567 586 527 555 591 480 541 506 573 544 584 572 512 562 536 560 533 521 574 478 466 550 508 505 513 525 497 541 543 530 575 558 522 497 519 488 574 571 476 516 537 479 514 503 482 512 512 489 557 505 476 512 537 493 476 509 507 505 517 539 522 495 473 509 518 502 501 528 511 555 525 512 502 528 483 516 522 501 521 496 545 503 519 505 504 509 480 536 536 508 518 551 508 497 538 509 497 501 525 499 532 484 508 504 518 497 513 531 492 477 530 527 496 553 536 513 486 465 519 458 446 490 467 497 482 499 506 494 531 502 509 487 480 482 485 485 508 468 475 489 473 508 504 503 494 486 490 483 474 474 528 482 504 497 491 477 504 498 488 484 505 472 502 426 514 487 506 540 519 488 486 524 457 473 484 466 501 469 498 503 528 430 467 497 481 509 505 525 500 457 495 493 520 492 459 482 512 487 485 467 452 474 481 431 491 466 492 505 515 512 467 477 489 565 476 490 482 488 468 482 507 460 494 511 514 470 401 436 498 462 462 471 480 496 447 494 497 449 497 438 465 466 460 468 472 483 468 465 460 496 494 460 479 472 477 476 484 487 470 473 461 439 466 471 492 472 463 438 409 477 507 444 478 440 467 449 446 461 483 456 494 462 462 510 459 527 474 469 477 480 467 464 444 505 435 459 463 528 525 509 521 510 486 564 536 479 514 480 498 499 501 508 436 485 464 522 519 500 524 512 462 459 470 492 446 477 450 468 469 465 466 426 475 472 472 489 449 446 460 471 462 455 468 440 484 497 431 471 445 492 500 465 464 462 466 449 524 482 471 427 489 486 497 461 424 462 482 417 436 494 470 451 483 446 446 460 491 470 465 496 449 494 494 451 447 477 451 464 463 443 430 477 508 416 476 448 445 486 471 449 478 447 473 470 423 476 457 452 459 454 552 449 468 467 444 441 435 419 436 476 433 424 509 416 459 434 459 462 491 457 466 456 448 460 468 448 439 437 449 425 447 443 474 450 491 417 444 405 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423 421 449 433 485 441 455 424 460 460 399 424 455 446 455 437 444 406 453 443 456 429 436 459 443 453 438 469 452 432 420 462 403 471 504 465 440 493 478 469 454 475 446 446 466 526 481 436 422 446 508 456 429 471 425 450 405 431 446 469 460 459 455 425 486 465 510 438 405 430 460 445 423 413 434 443 430 439 417 394 471 472 458 449 445 428 431 457 406 458 452 434 431 432 426 446 445 478 439 399 439 434 418 381 423 441 470 431 421 459 412 427 440 463 392 419 431 407 437 457 431 407 412 430 423 439 459 454 419 451 430 465 452 445 422 435 404 441 416 448 420 442 464 419 431 431 439 443 439 457 423 467 420 413 395 421 386 456 418 434 438 424 424 442 446 448 426 425 436 464 433 419 464 416 440 418 440 444 399 433 456 504 446 477 459 451 461 451 426 437 472 434 449 445 453 430 425 428 450 453 461 481 423 442 453 433 445 430 403 413 454 439 414 465 397 416 430 423 404 379 419 424 413 428 400 408 429 475 431 425 399 453 409 353 421 417 423 402 425 401 439 383 405 412 417 410 409 420 425 462 430 423 489 435 420 422 420 412 430 393 420 414 390 409 454 402 422 392 419 385 433 428 438 401 419 441 402 405 417 444 438 417 395 428 380 450 415 403 437 425 406 409 444 405 398 387 427 387 396 379 436 422 428 441 422 416 403 438 443 419 425 438 428 397 427 428 408 424 428 415 429 374 474 439 449 427 415 428 419 407 432 419 431 455 439 446 426 438 449 446 473 430 419 451 417 404 469 453 491 457 456 472 481 482 460 492 488 480 464 507 471 508 511 530 534 531 538 553 569 545 546 578 597 602 588 606 592 650 655 658 642 687 679 727 676 676 706 753 753 737 759 716 696 754 790 771 778 797 807 757 734 805 724 691 764 721 767 794 746 678 754 723 717 662 691 675 634 616 655 638 651 633 676 614 537 578 565 569 537 606 554 533 565 520 568 535 461 517 482 538 473 487 529 490 474 461 440 451 478 455 419 438 434 420 445 460 430 425 440 488 455 457 487 423 422 464 425 448 441 429 405 435 457 436 455 446 400 412 440 426 498 413 428 393 423 401 412 379 435 449 494 475 423 444 440 487 488 526 522 487 506 532 497 467 465 472 470 455 469 409 484 503 469 437 459 483 461 467 481 491 473 517 441 419 458 469 480 460 473 426 466 487 491 506 511 543 602 662 651 651 563 558 506 503 507 461 427 474 462 512 463 522 498 481 532 534 493 472 454 456 426 446 440 452 394 410 412 434 423 416 361 378 390 416 391 390 391 384 366 394 401 360 393 424 408 346 384 404 381 397 383 385 398 415 392 390 388 405 395 383 399 397 385 398 386 371 386 386 378 356 369 392 351 411 383 468 365 416 392 374 420 380 395 370 403 349 378 371 410 380 357 387 393 374 405 398 388 398 376 384 401 356 381 400 389 384 395 344 397 406 370 402 400 433 430 376 369 403 399 384 382 379 389 430 370 402 372 406 424 374 401 424 466 365 412 415 403 409 412 414 384 393 388 390 407 398 425 415 414 424 401 369 422 384 392 396 373 355 380 421 359 356 408 443 369 428 423 389 370 372 367 371 400 372 402 382 363 357 360 428 391 357 379 382 392 365 380 366 392 385 366 389 430 376 402 389 390 413 363 375 414 358 382 392 363 393 423 395 439 412 373 364 392 402 351 379 424 410 370 356 378 372 369 369 405 393 419 367 404 383 387 387 376 375 390 343 382 364 411 362 372 388 345 351 392 396 388 349 372 391 396 388 347 375 350 379 375 381 373 397 379 392 342 373 378 325 400 352 388 349 364 389 345 358 382 360 379 355 359 348 369 412 374 348 429 361 399 353 391 368 385 357 376 358 355 383 354 346 351 373 402 364 361 435 375 405 391 423 381 359 351 378 362 406 368 335 404 334 384 380 356 359 365 397 398 348 342 396 365 357 354 365 388 365 342 404 378 372 333 344 362 397 393 346 333 384 387 365 357 394 347</intensities>
-			</dataPoints>
-		</scan>
-	</xrdMeasurement>
-</xrdMeasurements>

From aea4ce59c306abbaf30da7f3876b0d9c8db5f6a3 Mon Sep 17 00:00:00 2001
From: mkuehbach <markus.kuehbach@physik.hu-berlin.de>
Date: Tue, 19 Mar 2024 10:22:20 +0100
Subject: [PATCH 23/58] Removed obsolete reader shared

---
 .../dataconverter/readers/shared/__init__.py  |   0
 .../shared/map_concepts/mapping_functors.py   | 122 ------------------
 .../readers/shared/shared_utils.py            |  87 -------------
 3 files changed, 209 deletions(-)
 delete mode 100644 pynxtools/dataconverter/readers/shared/__init__.py
 delete mode 100644 pynxtools/dataconverter/readers/shared/map_concepts/mapping_functors.py
 delete mode 100644 pynxtools/dataconverter/readers/shared/shared_utils.py

diff --git a/pynxtools/dataconverter/readers/shared/__init__.py b/pynxtools/dataconverter/readers/shared/__init__.py
deleted file mode 100644
index e69de29bb..000000000
diff --git a/pynxtools/dataconverter/readers/shared/map_concepts/mapping_functors.py b/pynxtools/dataconverter/readers/shared/map_concepts/mapping_functors.py
deleted file mode 100644
index ca09fb5f2..000000000
--- a/pynxtools/dataconverter/readers/shared/map_concepts/mapping_functors.py
+++ /dev/null
@@ -1,122 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Utilities for working with NeXus concepts encoded as Python dicts in the concepts dir."""
-
-# pylint: disable=no-member
-
-import pytz
-
-from datetime import datetime
-
-
-def load_from_modifier(terms, fd_dct):
-    """Implement modifier which reads values of different type from fd_dct."""
-    if isinstance(terms, str):
-        if terms in fd_dct.keys():
-            return fd_dct[terms]
-    if all(isinstance(entry, str) for entry in terms) is True:
-        if isinstance(terms, list):
-            lst = []
-            for entry in terms:
-                lst.append(fd_dct[entry])
-            return lst
-    return None
-
-
-def convert_iso8601_modifier(terms, dct: dict):
-    """Implement modifier which transforms nionswift time stamps to proper UTC ISO8601."""
-    if terms is not None:
-        if isinstance(terms, str):
-            if terms in dct.keys():
-                return None
-        elif (
-            (isinstance(terms, list))
-            and (len(terms) == 2)
-            and (all(isinstance(entry, str) for entry in terms) is True)
-        ):
-            # assume the first argument is a local time
-            # assume the second argument is a timezone string
-            if terms[0] in dct.keys() and terms[1] in dct.keys():
-                # handle the case that these times can be arbitrarily formatted
-                # for now we let ourselves be guided
-                # by how time stamps are returned in Christoph Koch's
-                # nionswift instances also formatting-wise
-                date_time_str = dct[terms[0]].replace("T", " ")
-                time_zone_str = dct[terms[1]]
-                if time_zone_str in pytz.all_timezones:
-                    date_time_obj = datetime.strptime(
-                        date_time_str, "%Y-%m-%d %H:%M:%S.%f"
-                    )
-                    utc_time_zone_aware = pytz.timezone(time_zone_str).localize(
-                        date_time_obj
-                    )
-                    return utc_time_zone_aware
-                else:
-                    raise ValueError("Invalid timezone string!")
-                return None
-        else:
-            return None
-    return None
-
-
-def apply_modifier(modifier, dct: dict):
-    """Interpret a functional mapping using data from dct via calling modifiers."""
-    if isinstance(modifier, dict):
-        # different commands are available
-        if set(["fun", "terms"]) == set(modifier.keys()):
-            if modifier["fun"] == "load_from":
-                return load_from_modifier(modifier["terms"], dct)
-            if modifier["fun"] == "convert_iso8601":
-                return convert_iso8601_modifier(modifier["terms"], dct)
-        elif set(["link"]) == set(modifier.keys()):
-            # CURRENTLY NOT IMPLEMENTED
-            # with the jsonmap reader Sherjeel conceptualized "link"
-            return None
-        else:
-            return None
-    if isinstance(modifier, str):
-        return modifier
-    return None
-
-
-# examples/tests how to use modifiers
-# modd = "µs"
-# modd = {"link": "some_link_to_somewhere"}
-# modd = {"fun": "load_from", "terms": "metadata/scan/scan_device_properties/mag_boards/MagBoard 1 DAC 11"}
-# modd = {"fun": "load_from", "terms": ["metadata/scan/scan_device_properties/mag_boards/MagBoard 1 DAC 11",
-#     "metadata/scan/scan_device_properties/mag_boards/MagBoard 1 Relay"]}
-# modd = {"fun": "convert_iso8601", "terms": ["data_modified", "timezone"]}
-# print(apply_modifier(modd, yml))
-
-
-def variadic_path_to_specific_path(path: str, instance_identifier: list):
-    """Transforms a variadic path to an actual path with instances."""
-    if (path is not None) and (path != ""):
-        narguments = path.count("*")
-        if narguments == 0:  # path is not variadic
-            return path
-        if len(instance_identifier) >= narguments:
-            tmp = path.split("*")
-            if len(tmp) == narguments + 1:
-                nx_specific_path = ""
-                for idx in range(0, narguments):
-                    nx_specific_path += f"{tmp[idx]}{instance_identifier[idx]}"
-                    idx += 1
-                nx_specific_path += f"{tmp[-1]}"
-                return nx_specific_path
-    return None
diff --git a/pynxtools/dataconverter/readers/shared/shared_utils.py b/pynxtools/dataconverter/readers/shared/shared_utils.py
deleted file mode 100644
index 71d7af03c..000000000
--- a/pynxtools/dataconverter/readers/shared/shared_utils.py
+++ /dev/null
@@ -1,87 +0,0 @@
-#!/usr/bin/env python3
-"""Functionalities shared across different parsers."""
-
-# -*- coding: utf-8 -*-
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-
-# pylint: disable=E1101, R0801
-
-# import git
-
-
-def get_repo_last_commit() -> str:
-    """Identify the last commit to the repository."""
-    # repo = git.Repo(search_parent_directories=True)
-    # sha = str(repo.head.object.hexsha)
-    # if sha != "":
-    #    return sha
-    # currently update-north-markus branch on nomad-FAIR does not pick up
-    # git even though git in the base image and gitpython in pynxtools deps
-    return "unknown git commit id or unable to parse git reverse head"
-
-
-class NxObject:  # pylint: disable=R0903
-    """An object in a graph e.g. a field or group in NeXus."""
-
-    def __init__(
-        self, name: str = None, unit: str = None, dtype=str, value=None, **kwargs
-    ):
-        if name is not None:
-            assert name != "", "Argument name needs to be a non-empty string !"
-        if unit is not None:
-            assert unit != "", "Argument unit needs to be a non-empty string !"
-        assert dtype is not None, "Argument dtype must not be None !"
-        if dtype is not None:
-            assert isinstance(
-                dtype, type
-            ), "Argument dtype needs a valid, ideally numpy, datatype !"
-        # ##MK::if value is not None:
-        self.is_a = "NXobject"
-        self.is_attr = False  # if True indicates object is attribute
-        self.doc = ""  # docstring
-        self.name = name  # name of the field
-        self.unit = unit  # not unit category but actual unit
-        # use special values "unitless" for NX_UNITLESS (e.g. 1) and
-        # "dimensionless" for NX_DIMENSIONLESS (e.g. 1m / 1m)
-        self.dtype = dtype  # use np.dtype if possible
-        if value is None or dtype is str:
-            self.unit = "unitless"
-        if value is not None:
-            self.value = value
-        else:
-            self.value = None
-        # value should be a numpy scalar, tensor, or string if possible
-        if "is_attr" in kwargs:
-            assert isinstance(
-                kwargs["is_attr"], bool
-            ), "Kwarg is_attr needs to be a boolean !"
-            self.is_attr = kwargs["is_attr"]
-
-    def print(self):
-        """Report values."""
-        print("name: ")
-        print(str(self.name))
-        print("unit:")
-        print(str(self.unit))
-        print("dtype: ")
-        print(self.dtype)
-
-
-# test = NxObject(name="test", unit="baud", dtype=np.uint32, value=32000)
-# test.print()

From 3afcbd27be1a2f9dd100e8cbd3fe464b961e4c17 Mon Sep 17 00:00:00 2001
From: Florian Dobener <florian.dobener@physik.hu-berlin.de>
Date: Tue, 19 Mar 2024 23:38:05 +0100
Subject: [PATCH 24/58] Removes transmission and hall readers (#285)

* Removes transmission and hall readers

* Remove hall in tests

* Remove pytz
---
 dev-requirements.txt                          |    4 +-
 .../dataconverter/readers/hall/README.md      |    4 -
 .../dataconverter/readers/hall/__init__.py    |    0
 .../dataconverter/readers/hall/enum_map.json  |  180 ---
 .../dataconverter/readers/hall/helpers.py     |  311 ----
 .../dataconverter/readers/hall/reader.py      |  224 ---
 .../readers/transmission/README.md            |    4 -
 .../readers/transmission/__init__.py          |    0
 .../readers/transmission/metadata_parsers.py  |   69 -
 .../readers/transmission/reader.py            |  256 ----
 pyproject.toml                                |    1 -
 .../readers/transmission/KTF-9_1_A.asc        | 1246 -----------------
 .../readers/transmission/KTF-9_1_A.sp         |  Bin 11050 -> 0 bytes
 .../readers/transmission/metadata.json        |    8 -
 tests/dataconverter/test_convert.py           |   20 -
 tests/dataconverter/test_readers.py           |    3 +
 16 files changed, 4 insertions(+), 2326 deletions(-)
 delete mode 100644 pynxtools/dataconverter/readers/hall/README.md
 delete mode 100644 pynxtools/dataconverter/readers/hall/__init__.py
 delete mode 100644 pynxtools/dataconverter/readers/hall/enum_map.json
 delete mode 100644 pynxtools/dataconverter/readers/hall/helpers.py
 delete mode 100644 pynxtools/dataconverter/readers/hall/reader.py
 delete mode 100644 pynxtools/dataconverter/readers/transmission/README.md
 delete mode 100644 pynxtools/dataconverter/readers/transmission/__init__.py
 delete mode 100644 pynxtools/dataconverter/readers/transmission/metadata_parsers.py
 delete mode 100644 pynxtools/dataconverter/readers/transmission/reader.py
 delete mode 100644 tests/data/dataconverter/readers/transmission/KTF-9_1_A.asc
 delete mode 100644 tests/data/dataconverter/readers/transmission/KTF-9_1_A.sp
 delete mode 100644 tests/data/dataconverter/readers/transmission/metadata.json

diff --git a/dev-requirements.txt b/dev-requirements.txt
index 9908d66cf..abf2ec541 100644
--- a/dev-requirements.txt
+++ b/dev-requirements.txt
@@ -156,9 +156,7 @@ python-dateutil==2.8.2
     #   mkdocs-macros-plugin
     #   pandas
 pytz==2023.3.post1
-    # via
-    #   pandas
-    #   pynxtools (pyproject.toml)
+    # via pandas
 pyyaml==6.0.1
     # via
     #   mkdocs
diff --git a/pynxtools/dataconverter/readers/hall/README.md b/pynxtools/dataconverter/readers/hall/README.md
deleted file mode 100644
index 4c39ca3a0..000000000
--- a/pynxtools/dataconverter/readers/hall/README.md
+++ /dev/null
@@ -1,4 +0,0 @@
-# hall reader
-
-## Contact person in FAIRmat for this reader
-Florian Dobner
\ No newline at end of file
diff --git a/pynxtools/dataconverter/readers/hall/__init__.py b/pynxtools/dataconverter/readers/hall/__init__.py
deleted file mode 100644
index e69de29bb..000000000
diff --git a/pynxtools/dataconverter/readers/hall/enum_map.json b/pynxtools/dataconverter/readers/hall/enum_map.json
deleted file mode 100644
index 05c4898f9..000000000
--- a/pynxtools/dataconverter/readers/hall/enum_map.json
+++ /dev/null
@@ -1,180 +0,0 @@
-{
-    "Measurement State Machine": {
-        "System Model": {
-            "0": "75XX-LVWR(-HS)",
-            "1": "75XX-LVWR-SWT(-HS), 77XX-LVWR",
-            "2": "75XX-HVWR(-HS), 77XX-HVWR",
-            "3": "76XX",
-            "4": "95XX-LVWR(-HS)",
-            "5": "95XX-LVWR-SWT(-HS), 97XX-LVWR",
-            "6": "95XX-HVWR(-HS), 97XX-HVWR",
-            "7": "77XXA",
-            "8": "97XXA"
-        },
-        "Wiring": {
-            "0": "van der Pauw",
-            "1": "Hall Bar"
-        },
-        "ElectroMeter": {
-            "0": "Keithley 6512",
-            "1": "Keithley 6514"
-        },
-        "VoltMeter": {
-            "0": "Keithley 2000",
-            "1": "Keithley 2182",
-            "2": "Keithley 182"
-        },
-        "CurrentMeter": {
-            "0": "Keithley 6485",
-            "1": "Keithley 485/6/7"
-        },
-        "Current Source": {
-            "0": "Keithley 220",
-            "1": "Keithley 6220"
-        },
-        "AC Hall type": {
-            "0": "AC Current only",
-            "1": "AC Field and Current"
-        }
-    },
-    "Keithley 182": {
-        "Integration Time": {
-            "0": "1 line cycle",
-            "1": "3 ms",
-            "2": "100 ms"
-        },
-        "Digital Filter": {
-            "0": "Off",
-            "1": "Fast",
-            "2": "Medium",
-            "3": "Slow"
-        }
-    },
-    "Keithley 2000": {
-        "Reading Rate": {
-            "0": "Slow",
-            "1": "Medium",
-            "2": "Fast"
-        },
-        "Digital Filter Type": {
-            "0": "Repeat",
-            "1": "Moving"
-        }
-    },
-    "Keithley 2182": {
-        "Reading_Rate": {
-            "0": "Slow",
-            "1": "Medium",
-            "2": "Fast"
-        },
-        "Digital_Filter_Type": {
-            "0": "Repeat",
-            "1": "Moving"
-        },
-        "Digital Filter Window": {
-            "0": "0",
-            "1": "0.01",
-            "2": "0.1",
-            "3": "1",
-            "4": "10"
-        }
-    },
-    "Keithley 2700": {
-        "Reading Rate": {
-            "0": "Slow",
-            "1": "Medium",
-            "2": "Fast"
-        },
-        "Resting State": {
-            "0": "closed",
-            "1": "open"
-        },
-        "Digital Filter Type": {
-            "0": "Repeat",
-            "1": "Moving"
-        },
-        "Digital Filter Window": {
-            "0": "0",
-            "1": "0.01",
-            "2": "0.1",
-            "3": "1",
-            "4": "10"
-        }
-    },
-    "Keithley 6485": {
-        "Reading Rate": {
-            "0": "Slow",
-            "1": "Medium",
-            "2": "Fast"
-        },
-        "Digital Filter Type": {
-            "0": "Repeat",
-            "1": "Moving"
-        }
-    },
-    "Keithley 7001": {
-        "Resting State": {
-            "0": "Closed",
-            "1": "Open"
-        }
-    },
-    "Field Controller": {
-        "Gaussmeter": {
-            "0": "LS450",
-            "1": "LS475",
-            "2": "LS736"
-        },
-        "Power Supply": {
-            "0": "642,643, or 662 (Max. 70 Amp)",
-            "1": "665 (Max. 100 Amp)",
-            "2": "648 or 668 (Max. 135 Amp)",
-            "3": "647 (Max. 72 Amp Must be controlled via EXT input terminal)"
-        },
-        "LS450 Display Unit": {
-            "0": "Gauss",
-            "1": "Tesla"
-        }
-    },
-    "Temperature Controller": {
-        "Sample Sensor Type": {
-            "0": "Silicon diode",
-            "1": "GaAlAs diode",
-            "2": "Platinum 100/200",
-            "3": "Platinum 100/500",
-            "4": "Platinum 1000",
-            "5": "Rhodium Iron",
-            "6": "Carbon-glass",
-            "7": "Cernox",
-            "8": "RuOx",
-            "9": "Germanium",
-            "10": "Thermocouple"
-        }
-    },
-    "Temperature Domain": {
-        "Direction": {
-            "0": "Both",
-            "1": "Ascending",
-            "2": "Descending"
-        },
-        "Heater Range": {
-            "0": "Heater off",
-            "1": "4.9 mW",
-            "2": "49 mW",
-            "3": "490 mW",
-            "4": "4.9 W",
-            "5": "49.0W"
-        },
-        "Sample Space Evacuation Valve During Ramp": {
-            "0": "Open",
-            "1": "Closed"
-        },
-        "Sample Space Evacuation Valve After Ramp": {
-            "0": "Open",
-            "1": "Closed"
-        },
-        "Loop 2 Heater": {
-            "0": "off",
-            "1": "on"
-        }
-    }
-}
\ No newline at end of file
diff --git a/pynxtools/dataconverter/readers/hall/helpers.py b/pynxtools/dataconverter/readers/hall/helpers.py
deleted file mode 100644
index 9ae646a11..000000000
--- a/pynxtools/dataconverter/readers/hall/helpers.py
+++ /dev/null
@@ -1,311 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Helper functions for reading sections from Lake Shore files"""
-from typing import Tuple, Union, Dict, Any
-import re
-from datetime import datetime
-import numpy as np
-import pandas as pd
-import pytz
-
-
-def is_section(expr: str) -> bool:
-    """Checks whether an expression follows the form of a section
-    i.e. is of the form [section]
-
-    Args:
-        expr (str): The current expression to check
-
-    Returns:
-        bool: Returns true if the expr is of the form of a section
-    """
-    return bool(re.search(r"^\[.+\]$", expr))
-
-
-def is_measurement(expr):
-    """Checks whether an expression follows the form of a measurement indicator
-    i.e. is of the form <measurement>
-
-    Args:
-        expr (str): The current expression to check
-
-    Returns:
-        bool: Returns true if the expr is of the form of a measurement indicator
-    """
-    return bool(re.search(r"^\<.+\>$", expr))
-
-
-def is_key(expr: str) -> bool:
-    """Checks whether an expression follows the form of a key value pair
-    i.e. is of the form key: value or key = value
-
-    Args:
-        expr (str): The current expression to check
-
-    Returns:
-        bool: Returns true if the expr is of the form of a key value pair
-    """
-    return bool(re.search(r"^.+\s*[:|=]\s*.+$", expr))
-
-
-def is_meas_header(expr: str) -> bool:
-    """Checks whether an expression follows the form of a measurement header,
-    i.e. starts with: Word [Unit]
-
-    Args:
-        expr (str): The current expression to check
-
-    Returns:
-        bool: Returns true if the expr is of the form of a measurement header
-    """
-    return bool(re.search(r"^[^\]]+\[[^\]]+\]", expr))
-
-
-def is_value_with_unit(expr: str) -> bool:
-    """Checks whether an expression is a value with a unit,
-    i.e. is of the form value [unit].
-
-    Args:
-        expr (str): The expression to check
-
-    Returns:
-        bool: Returns true if the expr is a value with unit
-    """
-    return bool(re.search(r"^.+\s\[.+\]$", expr))
-
-
-def is_integer(expr: str) -> bool:
-    """Checks whether an expression is an integer number,
-    i.e. 3, +3 or -3. Also supports numbers in the form of 003.
-
-    Args:
-        expr (str): The expression to check
-
-    Returns:
-        bool: Returns true if the expr is an integer number
-    """
-    return bool(re.search(r"^[+-]?\d+$", expr))
-
-
-def is_number(expr: str) -> bool:
-    """Checks whether an expression is a number,
-    i.e. is of the form 0.3, 3, 1e-3, 1E5 etc.
-
-    Args:
-        expr (str): The expression to check
-
-    Returns:
-        bool: Returns true if the expr is a number
-    """
-    return bool(
-        re.search(r"^[+-]?(\d+([.]\d*)?([eE][+-]?\d+)?|[.]\d+([eE][+-]?\d+)?)$", expr)
-    )
-
-
-def is_boolean(expr: str) -> bool:
-    """Checks whether an expression is a boolean,
-    i.e. is equal to True or False (upper or lower case).
-
-    Args:
-        expr (str): The expression to check.
-
-    Returns:
-        bool: Returns true if the expr is a boolean
-    """
-    return bool(re.search(r"True|False|true|false|On|Off|Yes|No", expr))
-
-
-def to_bool(expr: str) -> bool:
-    """Converts boolean representations in strings to python booleans.
-
-    Args:
-        expr (str): The string to convert to boolean.
-
-    Returns:
-        bool: The boolean value.
-    """
-    replacements = {
-        "On": True,
-        "Off": False,
-        "Yes": True,
-        "No": False,
-        "True": True,
-        "False": False,
-        "true": True,
-        "false": False,
-    }
-
-    return replacements.get(expr)
-
-
-def split_str_with_unit(expr: str, lower: bool = True) -> Tuple[str, str]:
-    """Splits an expression into a string and a unit.
-    The input expression should be of the form value [unit] as
-    is checked with is_value_with_unit function.
-
-    Args:
-        expr (str): The expression to split
-        lower (bool, optional):
-            If True the value is converted to lower case. Defaults to True.
-
-    Returns:
-        Tuple[str, str]: A tuple of a value unit pair.
-    """
-    value = re.split(r"\s+\[.+\]", expr)[0]
-    unit = re.search(r"(?<=\[).+?(?=\])", expr)[0]
-
-    if lower:
-        return value.lower(), unit
-    return value, unit
-
-
-def split_value_with_unit(expr: str) -> Tuple[Union[float, str], str]:
-    """Splits an expression into a string or float and a unit.
-    The input expression should be of the form value [unit] as
-    is checked with is_value_with_unit function.
-    The value is automatically converted to a float if it is a number.
-
-    Args:
-        expr (str): The expression to split
-
-    Returns:
-        Tuple[Union[float, str], str]: A tuple of a value unit pair.
-    """
-    value, unit = split_str_with_unit(expr, False)
-
-    if is_number(value):
-        return float(value), unit
-
-    return value, unit
-
-
-def clean(unit: str) -> str:
-    """Cleans an unit string, e.g. converts `VS` to `volt * seconds`.
-    If the unit is not in the conversion dict the input string is
-    returned without modification.
-
-    Args:
-        unit (str): The dirty unit string.
-
-    Returns:
-        str: The cleaned unit string.
-    """
-    conversions = {
-        "VS": "volt * second",
-        "Sec": "s",
-        "²": "^2",
-        "³": "^3",
-        "ohm cm": "ohm * cm",
-    }
-
-    for old, new in conversions.items():
-        unit = unit.replace(old, new)
-
-    return unit
-
-
-def get_unique_dkey(dic: dict, dkey: str) -> str:
-    """Checks whether a data key is already contained in a dictionary
-    and returns a unique key if it is not.
-
-    Args:
-        dic (dict): The dictionary to check for keys
-        dkey (str): The data key which shall be written.
-
-    Returns:
-        str: A unique data key. If a key already exists it is appended with a number
-    """
-    suffix = 0
-    while f"{dkey}{suffix}" in dic:
-        suffix += 1
-
-    return f"{dkey}{suffix}"
-
-
-def pandas_df_to_template(prefix: str, data: pd.DataFrame) -> Dict[str, Any]:
-    """Converts a dataframe to a NXdata entry template.
-
-    Args:
-        prefix (str): The path prefix to write the data into. Without a trailing slash.
-        df (pd.DataFrame): The dataframe which should be converted.
-
-    Returns:
-        Dict[str, Any]: The dict containing the data and metainfo.
-    """
-    if prefix.endswith("/"):
-        prefix = prefix[:-1]
-
-    template: Dict[str, Any] = {}
-    template[f"{prefix}/@NX_class"] = "NXdata"
-
-    def write_data(header: str, attr: str, data: np.ndarray) -> None:
-        if header is None:
-            print("Warning: Trying to write dataframe without a header. Skipping.")
-            return
-
-        if is_value_with_unit(header):
-            name, unit = split_str_with_unit(header)
-            template[f"{prefix}/{name}/@units"] = clean(unit)
-        else:
-            name = header.lower()
-
-        if attr == "@auxiliary_signals":
-            if f"{prefix}/{attr}" in template:
-                template[f"{prefix}/{attr}"].append(name)
-            else:
-                template[f"{prefix}/{attr}"] = [name]
-        else:
-            template[f"{prefix}/{attr}"] = name
-        template[f"{prefix}/{name}"] = data
-
-    if data.index.name is None:
-        data = data.set_index(data.columns[0])
-
-    # Drop last line if it has an errornous zero temperature
-    if data.index.values[-1] == 0:
-        data = data.iloc[:-1]
-
-    write_data(data.index.name, "@axes", data.index.values)
-    write_data(data.columns[0], "@signal", data.iloc[:, 0].values)
-
-    for column in data.columns[1:]:
-        write_data(column, "@auxiliary_signals", data[column].values)
-
-    return template
-
-
-def convert_date(datestr: str, timezone: str = "Europe/Berlin") -> str:
-    """Converts a hall date formated string to isoformat string.
-
-    Args:
-        datestr (str): The hall date string
-        timezone (str): The timezone of the hall date string. Defaults to "Europe/Berlin"
-
-    Returns:
-        str: The iso formatted string.
-    """
-
-    try:
-        return (
-            datetime.strptime(datestr, r"%m/%d/%y %H%M%S")
-            .astimezone(pytz.timezone(timezone))
-            .isoformat()
-        )
-    except ValueError:
-        print("Warning: datestring does not conform to date format. Skipping.")
-        return datestr
diff --git a/pynxtools/dataconverter/readers/hall/reader.py b/pynxtools/dataconverter/readers/hall/reader.py
deleted file mode 100644
index a18324ba7..000000000
--- a/pynxtools/dataconverter/readers/hall/reader.py
+++ /dev/null
@@ -1,224 +0,0 @@
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Lake Shore Hall file reader implementation for the DataConverter."""
-from pathlib import Path
-import re
-from typing import Any, List, TextIO, Dict, Optional
-import logging
-import numpy as np
-import pandas as pd
-
-from pynxtools.dataconverter.readers.json_yml.reader import YamlJsonReader
-from pynxtools.dataconverter.readers.hall import helpers
-from pynxtools.dataconverter.readers.utils import parse_json, parse_yml
-
-# Replacement dict for section names
-SECTION_REPLACEMENTS = {
-    "Sample parameters": "entry/sample",
-    "Measurements": "entry/measurement",
-}
-
-# Replacement dict for measurement indicators
-MEASUREMENT_REPLACEMENTS = {
-    "IV Curve Measurement": "iv_curve",
-    "Variable Field Measurement": "variable_field",
-}
-
-# Dict for converting values for specific keys
-CONVERSION_FUNCTIONS = {
-    "Start Time": helpers.convert_date,
-    "Time Completed": helpers.convert_date,
-    "Skipped at": helpers.convert_date,
-}
-
-# Keys that indicate the start of measurement block
-MEASUREMENT_KEYS = ["Contact Sets"]
-
-reader_dir = Path(__file__).parent
-config_file = reader_dir.joinpath("enum_map.json")
-ENUM_FIELDS = parse_json(str(config_file))
-
-logger = logging.getLogger(__name__)
-logger.setLevel(logging.WARN)
-
-
-def split_add_key(fobj: Optional[TextIO], dic: dict, prefix: str, expr: str) -> None:
-    """Splits a key value pair and adds it to the dictionary.
-    It also checks for measurement headers and adds the full tabular data as a
-    pandas array to the dictionary.
-
-    Args:
-        fobj (TextIO): The file object to read from
-        dic (dict): The dict to write the data into
-        prefix (str): Key prefix for the dict
-        expr (str): The current expr/line to parse
-    """
-    key, *val = re.split(r"\s*[:|=]\s*", expr)
-    jval = "".join(val).strip()
-
-    def parse_enum() -> bool:
-        sprefix = prefix.strip("/")
-        if "Keithley" not in sprefix:
-            w_trailing_num = re.search(r"(.*) \d+$", sprefix)
-            if w_trailing_num:
-                sprefix = w_trailing_num.group(1)
-
-        if (
-            sprefix in ENUM_FIELDS
-            and key in ENUM_FIELDS[sprefix]
-            and helpers.is_integer(jval)
-        ):
-            if jval not in ENUM_FIELDS[sprefix][key]:
-                logger.warning("Option `%s` not in `%s, %s`", jval, sprefix, key)
-            dic[f"{prefix}/{key}"] = ENUM_FIELDS[sprefix][key].get(jval, "UNKNOWN")
-            return True
-
-        return False
-
-    def parse_field():
-        if helpers.is_value_with_unit(jval):
-            value, unit = helpers.split_value_with_unit(jval)
-            dic[f"{prefix}/{key}"] = value
-            dic[f"{prefix}/{key}/@units"] = helpers.clean(unit)
-            return
-
-        if parse_enum():
-            return
-
-        if helpers.is_integer(jval):
-            dic[f"{prefix}/{key}"] = int(jval)
-            return
-
-        if helpers.is_number(jval):
-            dic[f"{prefix}/{key}"] = float(jval)
-            return
-
-        if helpers.is_boolean(jval):
-            dic[f"{prefix}/{key}"] = helpers.to_bool(jval)
-            return
-
-        dic[f"{prefix}/{key}"] = CONVERSION_FUNCTIONS.get(key, lambda v: v)(jval)
-
-    def parse_data():
-        data = []
-        for line in fobj:
-            if not line.strip():
-                break
-            if helpers.is_key(line):
-                split_add_key(
-                    None,  # There should be no deeper measurement,
-                    # prevent further consumption of lines
-                    dic,
-                    f"{prefix}/{key}/{jval}",
-                    line,
-                )
-                continue
-            data.append(list(map(lambda x: x.strip(), re.split("\t+", line))))
-
-        dkey = helpers.get_unique_dkey(dic, f"{prefix}/{key}/{jval}/data")
-        dic[dkey] = pd.DataFrame(np.array(data[1:], dtype=np.float64), columns=data[0])
-
-    if fobj is not None and key in MEASUREMENT_KEYS:
-        parse_data()
-    else:
-        parse_field()
-
-
-def parse_txt(fname: str, encoding: str = "iso-8859-1") -> dict:
-    """Reads a template dictonary from a hall measurement file
-
-    Args:
-        fname (str): The file name of the masurement file
-        encoding (str, optional): The encoding of the ASCII file. Defaults to "iso-8859-1".
-
-    Returns:
-        dict: Dict containing the data and metadata of the measurement
-    """
-
-    def parse_measurement(line: str, current_section: str, current_measurement: str):
-        data = []
-        for mline in fobj:
-            if not mline.strip():
-                break
-            data.append(list(map(lambda x: x.strip(), re.split("\t+", mline))))
-
-        header = list(map(lambda x: x.strip(), re.split("\t+", line)))
-        dkey = helpers.get_unique_dkey(
-            template, f"{current_section}{current_measurement}/data"
-        )
-        template.update(
-            helpers.pandas_df_to_template(
-                dkey, pd.DataFrame(np.array(data, dtype=np.float64), columns=header)
-            )
-        )
-
-        return current_section, current_measurement
-
-    def parse(line: str, current_section: str, current_measurement: str):
-        if helpers.is_section(line):
-            sline = line.strip()[1:-1]
-            current_section = f"/{SECTION_REPLACEMENTS.get(sline, sline)}"
-            current_measurement = ""
-            return current_section, current_measurement
-
-        if helpers.is_measurement(line):
-            step, _, *meas = line.partition(":")
-            sline = f"{step[6:]}_" + "".join(meas).strip()[:-1]
-            current_measurement = f"/{MEASUREMENT_REPLACEMENTS.get(sline, sline)}"
-            return current_section, current_measurement
-
-        if helpers.is_key(line):
-            split_add_key(
-                fobj, template, f"{current_section}{current_measurement}", line
-            )
-            return current_section, current_measurement
-
-        if helpers.is_meas_header(line):
-            return parse_measurement(line, current_section, current_measurement)
-
-        if line.strip():
-            logger.warning("Line `%s` ignored", line.strip())
-
-        return current_section, current_measurement
-
-    template: Dict[str, Any] = {}
-    current_section = "/entry"
-    current_measurement = ""
-    with open(fname, encoding=encoding) as fobj:
-        for line in fobj:
-            current_section, current_measurement = parse(
-                line, current_section, current_measurement
-            )
-
-    return template
-
-
-# pylint: disable=too-few-public-methods
-class HallReader(YamlJsonReader):
-    """HallReader implementation for the DataConverter
-    to convert Hall data to Nexus."""
-
-    supported_nxdls: List[str] = ["NXroot"]
-    extensions = {
-        ".txt": lambda fname: parse_txt(fname, "iso-8859-1"),
-        ".json": parse_json,
-        ".yml": lambda fname: parse_yml(fname, None, None),
-        ".yaml": lambda fname: parse_yml(fname, None, None),
-    }
-
-
-READER = HallReader
diff --git a/pynxtools/dataconverter/readers/transmission/README.md b/pynxtools/dataconverter/readers/transmission/README.md
deleted file mode 100644
index 0fd071f32..000000000
--- a/pynxtools/dataconverter/readers/transmission/README.md
+++ /dev/null
@@ -1,4 +0,0 @@
-# transmission reader
-
-## Contact person in FAIRmat for this reader
-The FAIRmat Area B team
\ No newline at end of file
diff --git a/pynxtools/dataconverter/readers/transmission/__init__.py b/pynxtools/dataconverter/readers/transmission/__init__.py
deleted file mode 100644
index e69de29bb..000000000
diff --git a/pynxtools/dataconverter/readers/transmission/metadata_parsers.py b/pynxtools/dataconverter/readers/transmission/metadata_parsers.py
deleted file mode 100644
index ca15b26a8..000000000
--- a/pynxtools/dataconverter/readers/transmission/metadata_parsers.py
+++ /dev/null
@@ -1,69 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Functions for reading metadata values from Perkin Ellmer files"""
-from datetime import datetime
-
-# The min & max wavelength the instrument can measure
-MIN_WAVELENGTH = 190.0
-MAX_WAVELENGTH = 3350.0
-
-
-def read_start_date(metadata: list) -> str:
-    """Reads the start date from the metadata"""
-    century = str(datetime.now().year // 100)
-    formated_date = metadata[3].replace("/", "-")
-    return f"{century}{formated_date}T{metadata[4]}000Z"
-
-
-def read_sample_attenuator(metadata: list) -> int:
-    """Reads the sample attenuator from the metadata"""
-    return int(metadata[47].split()[0].split(":")[1])
-
-
-def read_ref_attenuator(metadata: list) -> int:
-    """Reads the sample attenuator from the metadata"""
-    return int(metadata[47].split()[1].split(":")[1])
-
-
-def is_depolarizer_on(metadata: list) -> bool:
-    """Reads whether the depolarizer was active during the measurement"""
-    return metadata[46] == "on"
-
-
-def read_uv_monochromator_range(metadata: list) -> list:
-    """Reads the uv monochromator range from the metadata"""
-    monochromator_change = float(metadata[41])
-    return [MIN_WAVELENGTH, monochromator_change]
-
-
-def read_visir_monochromator_range(metadata: list) -> list:
-    """Reads the visir monochromator range from the metadata"""
-    monochromator_change = float(metadata[41])
-    return [monochromator_change, MAX_WAVELENGTH]
-
-
-def get_d2_range(metadata: list) -> list:
-    """Reads the D2 lamp range from the metadata"""
-    lamp_change = float(metadata[42])
-    return [MIN_WAVELENGTH, lamp_change]
-
-
-def get_halogen_range(metadata: list) -> list:
-    """Reads the halogen lamp range from the metadata"""
-    lamp_change = float(metadata[42])
-    return [lamp_change, MAX_WAVELENGTH]
diff --git a/pynxtools/dataconverter/readers/transmission/reader.py b/pynxtools/dataconverter/readers/transmission/reader.py
deleted file mode 100644
index 5863a406c..000000000
--- a/pynxtools/dataconverter/readers/transmission/reader.py
+++ /dev/null
@@ -1,256 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Perkin Ellmer transmission file reader implementation for the DataConverter."""
-from inspect import isfunction
-from typing import Callable, List, Any, Dict
-import pandas as pd
-
-from pynxtools.dataconverter.readers.json_yml.reader import YamlJsonReader
-import pynxtools.dataconverter.readers.transmission.metadata_parsers as mpars
-from pynxtools.dataconverter.readers.utils import parse_json, parse_yml, handle_objects
-
-
-# Dictionary mapping metadata in the asc file to the paths in the NeXus file.
-# The entry can either be a function with one list parameter
-# which is executed to fill the specific path or an
-# integer which is used to get the value at the index of the metadata.
-# If the value is a str this string gets inputed at the path.
-METADATA_MAP: Dict[str, Any] = {
-    "/ENTRY[entry]/SAMPLE[sample]/name": 8,
-    "/ENTRY[entry]/start_time": mpars.read_start_date,
-    "/ENTRY[entry]/instrument/sample_attenuator/attenuator_transmission": mpars.read_sample_attenuator,
-    "/ENTRY[entry]/instrument/ref_attenuator/attenuator_transmission": mpars.read_ref_attenuator,
-    "/ENTRY[entry]/instrument/common_beam_mask/y_gap": 45,
-    "/ENTRY[entry]/instrument/polarizer": 48,
-    "/ENTRY[entry]/instrument/common_beam_depolarizer": mpars.is_depolarizer_on,
-    "/ENTRY[entry]/instrument/spectrometer/GRATING[grating]/wavelength_range": mpars.read_uv_monochromator_range,
-    "/ENTRY[entry]/instrument/spectrometer/GRATING[grating1]/wavelength_range": mpars.read_visir_monochromator_range,
-    "/ENTRY[entry]/instrument/SOURCE[source]/type": "D2",
-    "/ENTRY[entry]/instrument/SOURCE[source]/wavelength_range": mpars.get_d2_range,
-    "/ENTRY[entry]/instrument/SOURCE[source1]/type": "halogen",
-    "/ENTRY[entry]/instrument/SOURCE[source1]/wavelength_range": mpars.get_halogen_range,
-}
-# Dictionary to map value during the yaml eln reading
-# This is typically a mapping from ELN signifier to NeXus path
-CONVERT_DICT: Dict[str, str] = {"Sample": "SAMPLE[sample]", "unit": "@units"}
-# Dictionary to map nested values during the yaml eln reading
-# This is typically a mapping from nested ELN signifiers to NeXus group
-REPLACE_NESTED: Dict[str, str] = {
-    "Sample[sample]/experiment_identifier": "experiment_identifier"
-}
-
-
-def data_to_template(data: pd.DataFrame) -> Dict[str, Any]:
-    """Builds the data entry dict from the data in a pandas dataframe
-
-    Args:
-        data (pd.DataFrame): The dataframe containing the data.
-
-    Returns:
-        Dict[str, Any]: The dict with the data paths inside NeXus.
-    """
-    template: Dict[str, Any] = {}
-    template["/ENTRY[entry]/data/@axes"] = "wavelength"
-    template["/ENTRY[entry]/data/type"] = "transmission"
-    template["/ENTRY[entry]/data/@signal"] = "transmission"
-    template["/ENTRY[entry]/data/wavelength"] = data.index.values
-    template["/ENTRY[entry]/instrument/spectrometer/wavelength"] = data.index.values
-    template["/ENTRY[entry]/data/wavelength/@units"] = "nm"
-    template["/ENTRY[entry]/data/transmission"] = data.values[:, 0]
-    template["/ENTRY[entry]/instrument/measured_data"] = data.values
-
-    return template
-
-
-def parse_detector_line(line: str, convert: Callable[[str], Any] = None) -> List[Any]:
-    """Parses a detector line from the asc file.
-
-    Args:
-        line (str): The line to parse.
-
-    Returns:
-        List[Any]: The list of detector settings.
-    """
-    if convert is None:
-
-        def convert(val):
-            return val
-
-    return [convert(s.split("/")[-1]) for s in line.split()]
-
-
-# pylint: disable=too-many-arguments
-def convert_detector_to_template(
-    det_type: str,
-    slit: str,
-    time: float,
-    gain: float,
-    det_idx: int,
-    wavelength_range: List[float],
-) -> Dict[str, Any]:
-    """Writes the detector settings to the template.
-
-    Args:
-        det_type (str): The detector type.
-        slit (float): The slit width.
-        time (float): The exposure time.
-        gain (str): The gain setting.
-
-    Returns:
-        Dict[str, Any]: The dictionary containing the data readout from the asc file.
-    """
-    if det_idx == 0:
-        path = "/ENTRY[entry]/instrument/DETECTOR[detector]"
-    else:
-        path = f"/ENTRY[entry]/instrument/DETECTOR[detector{det_idx}]"
-    template: Dict[str, Any] = {}
-    template[f"{path}/type"] = det_type
-    template[f"{path}/response_time"] = time
-    if gain is not None:
-        template[f"{path}/gain"] = gain
-
-    if slit == "servo":
-        template[f"{path}/slit/type"] = "servo"
-    else:
-        template[f"{path}/slit/type"] = "fixed"
-        template[f"{path}/slit/x_gap"] = float(slit)
-        template[f"{path}/slit/x_gap/@units"] = "nm"
-
-    template[f"{path}/wavelength_range"] = wavelength_range
-
-    return template
-
-
-def read_detectors(metadata: list) -> Dict[str, Any]:
-    """Reads detector values from the metadata and writes them into a template
-    with the appropriate NeXus path."""
-
-    template: Dict[str, Any] = {}
-    detector_slits = parse_detector_line(metadata[31])
-    detector_times = parse_detector_line(metadata[32], float)
-    detector_gains = parse_detector_line(metadata[35], float)
-    detector_changes = [float(x) for x in metadata[43].split()]
-    wavelength_ranges = (
-        [mpars.MIN_WAVELENGTH] + detector_changes[::-1] + [mpars.MAX_WAVELENGTH]
-    )
-
-    template.update(
-        convert_detector_to_template(
-            "PMT",
-            detector_slits[-1],
-            detector_times[-1],
-            None,
-            2,
-            [wavelength_ranges[0], wavelength_ranges[1]],
-        )
-    )
-
-    for name, idx, slit, time, gain in zip(
-        ["PbS", "InGaAs"],
-        [1, 0],
-        detector_slits[1:],
-        detector_times[1:],
-        detector_gains[1:],
-    ):
-        template.update(
-            convert_detector_to_template(
-                name,
-                slit,
-                time,
-                gain,
-                idx,
-                [wavelength_ranges[2 - idx], wavelength_ranges[3 - idx]],
-            )
-        )
-
-    return template
-
-
-def parse_asc(file_path: str) -> Dict[str, Any]:
-    """Parses a Perkin Ellmer asc file into metadata and data dictionary.
-
-    Args:
-        file_path (str): File path to the asc file.
-
-    Returns:
-        Dict[str, Any]: Dictionary containing the metadata and data from the asc file.
-    """
-    template: Dict[str, Any] = {}
-    data_start_ind = "#DATA"
-
-    with open(file_path, encoding="utf-8") as fobj:
-        metadata = []
-        for line in fobj:
-            if line.strip() == data_start_ind:
-                break
-            metadata.append(line.strip())
-
-        data = pd.read_csv(fobj, delim_whitespace=True, header=None, index_col=0)
-
-    for path, val in METADATA_MAP.items():
-        # If the dict value is an int just get the data with it's index
-        if isinstance(val, int):
-            template[path] = metadata[val]
-        elif isinstance(val, str):
-            template[path] = val
-        elif isfunction(val):
-            template[path] = val(metadata)
-        else:
-            print(
-                f"WARNING: "
-                f"Invalid type value {type(val)} of entry '{path}:{val}' in METADATA_MAP"
-            )
-
-    template.update(read_detectors(metadata))
-    template.update(data_to_template(data))
-
-    return template
-
-
-def add_def_info() -> Dict[str, str]:
-    """Creates a template with definition version information"""
-    template: Dict[str, Any] = {}
-    template["/@default"] = "entry"
-    template["/ENTRY[entry]/@default"] = "data"
-    template["/ENTRY[entry]/definition"] = "NXtransmission"
-    template["/ENTRY[entry]/definition/@version"] = "v2022.06"
-    template["/ENTRY[entry]/definition/@url"] = (
-        "https://fairmat-experimental.github.io/nexus-fairmat-proposal/"
-        + "50433d9039b3f33299bab338998acb5335cd8951/index.html"
-    )
-
-    return template
-
-
-# pylint: disable=too-few-public-methods
-class TransmissionReader(YamlJsonReader):
-    """TransmissionReader implementation for the DataConverter
-    to convert transmission data to Nexus."""
-
-    supported_nxdls = ["NXtransmission"]
-    extensions = {
-        ".asc": parse_asc,
-        ".json": parse_json,
-        ".yml": lambda fname: parse_yml(fname, CONVERT_DICT, REPLACE_NESTED),
-        ".yaml": lambda fname: parse_yml(fname, CONVERT_DICT, REPLACE_NESTED),
-        "default": lambda _: add_def_info(),
-        "objects": handle_objects,
-    }
-
-
-READER = TransmissionReader
diff --git a/pyproject.toml b/pyproject.toml
index b49502781..622712002 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -31,7 +31,6 @@ dependencies = [
     "numpy>=1.21.2",
     "pandas>=1.3.2",
     "ase>=3.19.0",
-    "pytz>=2021.1",
     "mergedeep",
     "importlib-metadata",
 ]
diff --git a/tests/data/dataconverter/readers/transmission/KTF-9_1_A.asc b/tests/data/dataconverter/readers/transmission/KTF-9_1_A.asc
deleted file mode 100644
index 878dc18c7..000000000
--- a/tests/data/dataconverter/readers/transmission/KTF-9_1_A.asc
+++ /dev/null
@@ -1,1246 +0,0 @@
-PE UV       SUBTECH     SPECTRUM    ASCII       PEDS        4.00        
-   -1
-KTF-9_1_A.asc
-19/06/25
-11:03:40.00
-19/06/25
-11:03:40.00
-Analyst
-
-190.000000
-1
-Lambda 1050
-1050L1611222
-PerkinElmer UV WinLab 6.3.2.0749 / 2.02.06 Lambda 900 UV/VIS/NIR, Jan 28 2016 16:58:34
-
-0
-0
-3350/servo 1800.8/servo 820.8/2
-0
-0
-UV/VIS
-1
-1
-1
-DoubleDePol,CommonBeamDepol,RBeamAtt,SBeamAtt,uv/vis/nir detector, TDS WB InGaAs Detector
-0
-0
-0
-0
-Program
-Program
-3350/servo 1800.8/servo 820.8/2
-3350/0.24 1800.8/0.24 820.8/0.2
-3350/0.24 1800.8/0.24 820.8/0.2
-0
-3350/1.00 1800.8/10.00
- 
- 
- 
-0
- 
-820.8
-319.2
-1800.8 820.8
-Front
-50
-on
-S:100 R:100
-0
-0
-0
-0
- 
-0
- 
- 
- 
-0
- 
- 
-0
-0
-0
-0
-0
- 
- 
- 
- 
-0
-0
-
-
-0
-0
-#HDR
--1
--1
-#GR
-nm
-%T
-1.0
-0.0
-2500.000000
--2.000000
-1156
-8
-92.078671
--0.008244
-#DATA
-2500.000000	74.863648
-2498.000000	74.658237
-2496.000000	74.402297
-2494.000000	74.203167
-2492.000000	73.881150
-2490.000000	73.666877
-2488.000000	73.319701
-2486.000000	73.080843
-2484.000000	72.767686
-2482.000000	72.375564
-2480.000000	72.080013
-2478.000000	71.669611
-2476.000000	71.280915
-2474.000000	70.881643
-2472.000000	70.351207
-2470.000000	69.848119
-2468.000000	69.316116
-2466.000000	68.643687
-2464.000000	68.082179
-2462.000000	67.324741
-2460.000000	66.508750
-2458.000000	65.627924
-2456.000000	64.629086
-2454.000000	63.542725
-2452.000000	62.390578
-2450.000000	61.075912
-2448.000000	59.727576
-2446.000000	58.308755
-2444.000000	56.856579
-2442.000000	55.405250
-2440.000000	53.896440
-2438.000000	52.480537
-2436.000000	50.939079
-2434.000000	49.468254
-2432.000000	48.030576
-2430.000000	46.465809
-2428.000000	44.944864
-2426.000000	43.461348
-2424.000000	42.077784
-2422.000000	40.780081
-2420.000000	39.585193
-2418.000000	38.575385
-2416.000000	37.739388
-2414.000000	37.070946
-2412.000000	36.531815
-2410.000000	36.129265
-2408.000000	35.791485
-2406.000000	35.551061
-2404.000000	35.297428
-2402.000000	35.003943
-2400.000000	34.738664
-2398.000000	34.374894
-2396.000000	33.889918
-2394.000000	33.287343
-2392.000000	32.633989
-2390.000000	31.842126
-2388.000000	30.991077
-2386.000000	30.016454
-2384.000000	29.007797
-2382.000000	27.966332
-2380.000000	26.978288
-2378.000000	26.057119
-2376.000000	25.331467
-2374.000000	24.768547
-2372.000000	24.476954
-2370.000000	24.458480
-2368.000000	24.737416
-2366.000000	25.251000
-2364.000000	25.969280
-2362.000000	26.789824
-2360.000000	27.628201
-2358.000000	28.400497
-2356.000000	29.076047
-2354.000000	29.609923
-2352.000000	30.022709
-2350.000000	30.372194
-2348.000000	30.709433
-2346.000000	31.018598
-2344.000000	31.402180
-2342.000000	31.842736
-2340.000000	32.323004
-2338.000000	32.773855
-2336.000000	33.200935
-2334.000000	33.501049
-2332.000000	33.636538
-2330.000000	33.576091
-2328.000000	33.265849
-2326.000000	32.727128
-2324.000000	31.951663
-2322.000000	31.001129
-2320.000000	29.916905
-2318.000000	28.758702
-2316.000000	27.579974
-2314.000000	26.417428
-2312.000000	25.312406
-2310.000000	24.285613
-2308.000000	23.292739
-2306.000000	22.311518
-2304.000000	21.336882
-2302.000000	20.380987
-2300.000000	19.403052
-2298.000000	18.401577
-2296.000000	17.468710
-2294.000000	16.595289
-2292.000000	15.840906
-2290.000000	15.313869
-2288.000000	14.998599
-2286.000000	14.943559
-2284.000000	15.143400
-2282.000000	15.557346
-2280.000000	16.140065
-2278.000000	16.831054
-2276.000000	17.549858
-2274.000000	18.267002
-2272.000000	18.938423
-2270.000000	19.545983
-2268.000000	20.161651
-2266.000000	20.767210
-2264.000000	21.427710
-2262.000000	22.209876
-2260.000000	23.093519
-2258.000000	24.099535
-2256.000000	25.185012
-2254.000000	26.296387
-2252.000000	27.361263
-2250.000000	28.333674
-2248.000000	29.160433
-2246.000000	29.750244
-2244.000000	30.048873
-2242.000000	30.091992
-2240.000000	29.883440
-2238.000000	29.499217
-2236.000000	29.004144
-2234.000000	28.495210
-2232.000000	28.023268
-2230.000000	27.620032
-2228.000000	27.344420
-2226.000000	27.178994
-2224.000000	27.056240
-2222.000000	26.905419
-2220.000000	26.695397
-2218.000000	26.480770
-2216.000000	26.354223
-2214.000000	26.362600
-2212.000000	26.621392
-2210.000000	27.185984
-2208.000000	28.098244
-2206.000000	29.383503
-2204.000000	30.947840
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diff --git a/tests/data/dataconverter/readers/transmission/metadata.json b/tests/data/dataconverter/readers/transmission/metadata.json
deleted file mode 100644
index f19455584..000000000
--- a/tests/data/dataconverter/readers/transmission/metadata.json
+++ /dev/null
@@ -1,8 +0,0 @@
-{
-    "/ENTRY[entry]/operator/name": "Test",
-    "/ENTRY[entry]/operator/affiliation": "Testinstitute",
-    "/ENTRY[entry]/operator/address": "My Address 1",
-    "/ENTRY[entry]/operator/email": "test@test.org",
-    "/ENTRY[entry]/SAMPLE[sample]/name": "KTF-9_1_A",
-    "/ENTRY[entry]/experiment_identifier": "Transmission of KTF-9_1_A"
-}
\ No newline at end of file
diff --git a/tests/dataconverter/test_convert.py b/tests/dataconverter/test_convert.py
index 1974856da..f72837313 100644
--- a/tests/dataconverter/test_convert.py
+++ b/tests/dataconverter/test_convert.py
@@ -208,26 +208,6 @@ def test_compression(tmp_path):
     restore_xarray_file_from_tmp(tmp_path)
 
 
-def test_eln_data_subsections(tmp_path):
-    """Check if the subsections in the eln_data.yml file work."""
-    dirpath = os.path.join(
-        os.path.dirname(__file__), "../data/dataconverter/readers/json_yml"
-    )
-    dataconverter.convert(
-        (
-            os.path.join(
-                dirpath,
-                "eln_data_w_subsections.yaml",
-            ),
-        ),
-        "hall",
-        "NXroot",
-        os.path.join(tmp_path, "hall.nxs"),
-        False,
-        False,
-    )
-
-
 def test_params_file():
     """Check if the parameters file is read correctly."""
     dirpath = Path(__file__).parent.parent / "data" / "dataconverter"
diff --git a/tests/dataconverter/test_readers.py b/tests/dataconverter/test_readers.py
index edbd1d50a..9ba17f4fb 100644
--- a/tests/dataconverter/test_readers.py
+++ b/tests/dataconverter/test_readers.py
@@ -94,6 +94,9 @@ def test_has_correct_read_func(reader):
             return
 
         input_files = sorted(glob.glob(os.path.join(reader_path, "*")))
+        if not reader.supported_nxdls:
+            # If there are no supported nxdls test against NXroot
+            reader.supported_nxdls = ["NXroot"]
         for supported_nxdl in reader.supported_nxdls:
             if supported_nxdl in ("NXtest", "*"):
                 nxdl_file = os.path.join(dataconverter_data_dir, "NXtest.nxdl.xml")

From 431352ea72a425dfba06138381c91adf23001daf Mon Sep 17 00:00:00 2001
From: RubelMozumder <32923026+RubelMozumder@users.noreply.github.com>
Date: Tue, 19 Mar 2024 10:13:02 +0100
Subject: [PATCH 25/58] removeing xrd folder. (#287)

* removeing xrd folder.

* Removing XRD test files.
---
 pynxtools/dataconverter/readers/xrd/README.md |  40 --
 .../dataconverter/readers/xrd/__init__.py     |  15 -
 pynxtools/dataconverter/readers/xrd/config.py | 168 -------
 pynxtools/dataconverter/readers/xrd/reader.py | 181 -------
 .../dataconverter/readers/xrd/xrd_helper.py   | 320 ------------
 .../dataconverter/readers/xrd/xrd_parser.py   | 475 ------------------
 .../readers/xrd/ACZCTS_5-60_181.xrdml         | 106 ----
 7 files changed, 1305 deletions(-)
 delete mode 100644 pynxtools/dataconverter/readers/xrd/README.md
 delete mode 100644 pynxtools/dataconverter/readers/xrd/__init__.py
 delete mode 100644 pynxtools/dataconverter/readers/xrd/config.py
 delete mode 100644 pynxtools/dataconverter/readers/xrd/reader.py
 delete mode 100644 pynxtools/dataconverter/readers/xrd/xrd_helper.py
 delete mode 100644 pynxtools/dataconverter/readers/xrd/xrd_parser.py
 delete mode 100644 tests/data/dataconverter/readers/xrd/ACZCTS_5-60_181.xrdml

diff --git a/pynxtools/dataconverter/readers/xrd/README.md b/pynxtools/dataconverter/readers/xrd/README.md
deleted file mode 100644
index 7ec09f543..000000000
--- a/pynxtools/dataconverter/readers/xrd/README.md
+++ /dev/null
@@ -1,40 +0,0 @@
-# XRD Reader
-With the XRD reader, data from X-ray diffraction experiment can be read and written into a NeXus file (h5 type file with extension .nxs) according to NXxrd_pan application definition in [NeXus](https://github.com/FAIRmat-NFDI/nexus_definitions). There are a few different methods of measuring XRD: 1. θ:2θ instruments (e.g. Rigaku H3R), and 2. θ:θ instrument (e.g. PANalytical X’Pert Pro). The goal with this reader is to support both of these methods.
-
-**NOTE: This reader is still under development. As of now, the reader can only handle files with the extension `.xrdml` , obtained with PANalytical X’Pert Pro version 1.5 (method 2 described above). Currently we are wtoking to include more file types and file versions.**
-
-## Contact Person in FAIRmat
-In principle, you can reach out to any member of Area B of the FAIRmat consortium, but Rubel Mozumder could be more reasonable for the early response.
-
-## Parsers
-Though, in computer science, parser is a process that reads code into smaller parts (called tocken) with relations among tockens in a tree diagram. The process helps compiler to understand the tocken relationship of the source code.
-
-The XRD reader calls a program or class (called parser) that reads the experimenal input file and re-organises the different physical/experiment concepts or properties in a certain structure which is defined by developer.
-
-### class pynxtools.dataconverter.readers.xrd.xrd_parser.XRDMLParser
-
-    **inputs:**
-        file_path: Full path of the input file.
-
-    **Important method:**
-        get_slash_separated_xrd_dict() -> dict
-
-        This method can be used to check if all the data from the input file have been read or not, it returns the slash separated dict as described.
-
-
-### Other Parsers
-    **Coming Soon!!**
-
-### How To
-The reader can be run from Jupyter-notebook or Jupyter-lab with the following command:
-
-```sh
- ! dataconverter \
---reader xrd \
---nxdl NXxrd_pan \
-$<xps-file location> \
-$<eln-file location> \
---output <output-file location>.nxs
-```
-
-An example file can be found here in GitLab in [nomad-remote-tools-hub](https://gitlab.mpcdf.mpg.de/nomad-lab/nomad-remote-tools-hub/-/tree/develop/docker/xrd) feel free to vist and try out the reader.
diff --git a/pynxtools/dataconverter/readers/xrd/__init__.py b/pynxtools/dataconverter/readers/xrd/__init__.py
deleted file mode 100644
index d4ec4a8cc..000000000
--- a/pynxtools/dataconverter/readers/xrd/__init__.py
+++ /dev/null
@@ -1,15 +0,0 @@
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
diff --git a/pynxtools/dataconverter/readers/xrd/config.py b/pynxtools/dataconverter/readers/xrd/config.py
deleted file mode 100644
index 10d5eddce..000000000
--- a/pynxtools/dataconverter/readers/xrd/config.py
+++ /dev/null
@@ -1,168 +0,0 @@
-"""This is config file that mainly maps nexus definition to data path in raw file."""
-
-# pylint: disable=C0301
-xrdml = {
-    "/ENTRY[entry]/2theta_plot/chi": {
-        "xrdml_1.5": {"value": "", "@units": "", "@chi_indices": 0},
-    },
-    "/ENTRY[entry]/2theta_plot/intensity": {
-        "xrdml_1.5": {
-            "value": "/xrdMeasurements/xrdMeasurement/scan/dataPoints/intensities",
-            "@units": "counts/s",
-        }
-    },
-    "/ENTRY[entry]/2theta_plot/omega": {
-        "xrdml_1.5": {"value": "", "@units": "", "@omega_indices": 1},
-    },
-    "/ENTRY[entry]/2theta_plot/title": "Intensity Vs. Two Theta (deg.)",
-    "/ENTRY[entry]/2theta_plot/phi": {
-        "xrdml_1.5": {"value": "", "@units": "", "@phi_indices": 0},
-    },
-    "/ENTRY[entry]/2theta_plot/two_theta": {
-        "xrdml_1.5": {"value": "", "@units": "deg", "@two_theta_indices": 0},
-    },
-    "/ENTRY[entry]/COLLECTION[collection]/beam_attenuation_factors": {
-        "xrdml_1.5": {"value": "/beamAttenuationFactors", "@units": ""},
-    },
-    "/ENTRY[entry]/COLLECTION[collection]/omega/start": {
-        "xrdml_1.5": {
-            "value": "/xrdMeasurements/xrdMeasurement/scan/dataPoints/positions_2/startPosition",
-            "@units": "/xrdMeasurements/xrdMeasurement/scan/dataPoints/positions_2/unit",
-        },
-    },
-    "/ENTRY[entry]/COLLECTION[collection]/omega/end": {
-        "xrdml_1.5": {
-            "value": "/xrdMeasurements/xrdMeasurement/scan/dataPoints/positions_2/endPosition",
-            "@units": "/xrdMeasurements/xrdMeasurement/scan/dataPoints/positions_2/unit",
-        },
-    },
-    "/ENTRY[entry]/COLLECTION[collection]/omega/step": {
-        "xrdml_1.5": {
-            "value": "/xrdMeasurements/comment/entry_2/MinimumstepsizeOmega",
-            "@units": "/xrdMeasurements/xrdMeasurement/scan/dataPoints/positions_2/unit",
-        },
-    },
-    "/ENTRY[entry]/COLLECTION[collection]/2theta/start": {
-        "xrdml_1.5": {
-            "value": "/xrdMeasurements/xrdMeasurement/scan/dataPoints/positions_1/startPosition",
-            "@units": "/xrdMeasurements/xrdMeasurement/scan/dataPoints/positions_1/unit",
-        },
-    },
-    "/ENTRY[entry]/COLLECTION[collection]/2theta/end": {
-        "xrdml_1.5": {
-            "value": "/xrdMeasurements/xrdMeasurement/scan/dataPoints/positions_1/endPosition",
-            "@units": "/xrdMeasurements/xrdMeasurement/scan/dataPoints/positions_1/unit",
-        },
-    },
-    "/ENTRY[entry]/COLLECTION[collection]/2theta/step": {
-        "xrdml_1.5": {
-            "value": "/xrdMeasurements/comment/entry_2/Minimumstepsize2Theta",
-            "@units": "/xrdMeasurements/xrdMeasurement/scan/dataPoints/positions_1/unit",
-        },
-    },
-    "/ENTRY[entry]/COLLECTION[collection]/count_time": {
-        "xrdml_1.5": {
-            "value": "/xrdMeasurements/xrdMeasurement/scan/dataPoints/commonCountingTime",
-            "@units": "/xrdMeasurements/xrdMeasurement/scan/dataPoints/commonCountingTime/unit",
-        },
-    },
-    "/ENTRY[entry]/COLLECTION[collection]/data_file": {"xrdml_1.5": {"value": ""}},
-    "/ENTRY[entry]/COLLECTION[collection]/goniometer_x": {
-        "xrdml_1.5": {"value": "/X", "@units": ""},
-    },
-    "/ENTRY[entry]/COLLECTION[collection]/goniometer_y": {
-        "xrdml_1.5": {"value": "/Y", "@units": ""},
-    },
-    "/ENTRY[entry]/COLLECTION[collection]/goniometer_z": {
-        "xrdml_1.5": {"value": "/Z", "@units": ""},
-    },
-    "/ENTRY[entry]/COLLECTION[collection]/measurement_type": {
-        "xrdml_1.5": {
-            "value": "/xrdMeasurements/xrdMeasurement/measurementType",
-            "@units": "",
-        },
-    },
-    "/ENTRY[entry]/INSTRUMENT[instrument]/DETECTOR[detector]/integration_time": {
-        "xrdml_1.5": {"value": "", "@units": ""},
-    },
-    "/ENTRY[entry]/INSTRUMENT[instrument]/DETECTOR[detector]/integration_time/@units": {
-        "xrdml_1.5": {"value": "", "@units": ""},
-    },
-    "/ENTRY[entry]/INSTRUMENT[instrument]/DETECTOR[detector]/scan_axis": {
-        "xrdml_1.5": {
-            "value": "/xrdMeasurements/xrdMeasurement/scan/scanAxis",
-            "@units": "",
-        },
-    },
-    "/ENTRY[entry]/INSTRUMENT[instrument]/DETECTOR[detector]/scan_mode": {
-        "xrdml_1.5": {
-            "value": "/xrdMeasurements/xrdMeasurement/scan/mode",
-            "@units": "",
-        },
-    },
-    "/ENTRY[entry]/INSTRUMENT[instrument]/SOURCE[source]/k_alpha_one": {
-        "xrdml_1.5": {
-            "value": "/xrdMeasurements/xrdMeasurement/usedWavelength/kAlpha1",
-            "@units": "/xrdMeasurements/xrdMeasurement/usedWavelength/kAlpha1/unit",
-        },
-    },
-    "/ENTRY[entry]/INSTRUMENT[instrument]/SOURCE[source]/k_alpha_two": {
-        "xrdml_1.5": {
-            "value": "/xrdMeasurements/xrdMeasurement/usedWavelength/kAlpha2",
-            "@units": "/xrdMeasurements/xrdMeasurement/usedWavelength/kAlpha2/unit",
-        },
-    },
-    "/ENTRY[entry]/INSTRUMENT[instrument]/SOURCE[source]/kbeta": {
-        "xrdml_1.5": {
-            "value": "/xrdMeasurements/xrdMeasurement/usedWavelength/kBeta",
-            "@units": "/xrdMeasurements/xrdMeasurement/usedWavelength/kBeta/unit",
-        },
-    },
-    "/ENTRY[entry]/INSTRUMENT[instrument]/SOURCE[source]/ratio_k_alphatwo_k_alphaone": {
-        "xrdml_1.5": {"value": "", "@units": ""}
-    },
-    "/ENTRY[entry]/INSTRUMENT[instrument]/SOURCE[source]/xray_tube_current": {
-        "xrdml_1.5": {
-            "value": "/xrdMeasurements/xrdMeasurement/incidentBeamPath/xRayTube/current",
-            "@units": "/xrdMeasurements/xrdMeasurement/incidentBeamPath/xRayTube/current/unit",
-        }
-    },
-    "/ENTRY[entry]/INSTRUMENT[instrument]/SOURCE[source]/source_peak_wavelength": {
-        "xrdml_1.5": {"value": "", "@units": ""}
-    },
-    "/ENTRY[entry]/INSTRUMENT[instrument]/SOURCE[source]/xray_tube_material": {
-        "xrdml_1.5": {
-            "value": "/xrdMeasurements/xrdMeasurement/incidentBeamPath/xRayTube/anodeMaterial",
-            "@units": "",
-        },
-    },
-    "/ENTRY[entry]/INSTRUMENT[instrument]/SOURCE[source]/xray_tube_voltage": {
-        "xrdml_1.5": {
-            "value": "/xrdMeasurements/xrdMeasurement/incidentBeamPath/xRayTube/tension",
-            "@units": "/xrdMeasurements/xrdMeasurement/incidentBeamPath/xRayTube/tension/unit",
-        }
-    },
-    "/ENTRY[entry]/SAMPLE[sample]/prepared_by": {"xrdml_1.5": {"value": ""}},
-    "/ENTRY[entry]/SAMPLE[sample]/sample_id": {
-        "xrdml_1.5": {"value": ""},
-    },
-    "/ENTRY[entry]/SAMPLE[sample]/sample_mode": {
-        "xrdml_1.5": {"value": ""},
-    },
-    "/ENTRY[entry]/SAMPLE[sample]/sample_name": {
-        "xrdml_1.5": {"value": ""},
-    },
-    "/ENTRY[entry]/definition": "NXxrd_pan",
-    "/ENTRY[entry]/method": "X-Ray Diffraction (XRD)",
-    "/ENTRY[entry]/q_plot/intensity": {
-        "xrdml_1.5": {
-            "value": "/xrdMeasurements/xrdMeasurement/scan/dataPoints/intensities",
-            "@units": "counts/s",
-        },
-    },
-    "/ENTRY[entry]/q_plot/q": {
-        "xrdml_1.5": {"value": "", "@units": ""},
-    },
-    "/@default": "entry",
-    "/ENTRY[entry]/@default": "2theta_plot",
-}
diff --git a/pynxtools/dataconverter/readers/xrd/reader.py b/pynxtools/dataconverter/readers/xrd/reader.py
deleted file mode 100644
index 246872a76..000000000
--- a/pynxtools/dataconverter/readers/xrd/reader.py
+++ /dev/null
@@ -1,181 +0,0 @@
-"""XRD reader."""
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-
-from typing import Tuple, Any, Dict, Union
-import json
-from pathlib import Path
-import xml.etree.ElementTree as ET
-
-import yaml
-
-from pynxtools.dataconverter.helpers import (
-    generate_template_from_nxdl,
-    validate_data_dict,
-)
-from pynxtools.dataconverter.template import Template
-from pynxtools.dataconverter.readers.xrd.xrd_parser import parse_and_fill_template
-from pynxtools.dataconverter.readers.utils import flatten_and_replace, FlattenSettings
-from pynxtools.dataconverter.readers.base.reader import BaseReader
-
-CONVERT_DICT: Dict[str, str] = {
-    "unit": "@units",
-    "Instrument": "INSTRUMENT[instrument]",
-    "Source": "SOURCE[source]",
-    "Detector": "DETECTOR[detector]",
-    "Collection": "COLLECTION[collection]",
-    "Sample": "SAMPLE[sample]",
-    "version": "@version",
-    "User": "USER[user]",
-}
-
-
-# Global var to collect the root from get_template_from_nxdl_name()
-# and use it in the the the varidate_data_dict()
-ROOT: ET.Element = None
-REPLACE_NESTED: Dict[str, Any] = {}
-XRD_FILE_EXTENSIONS = [".xrdml", "xrdml", ".udf", ".raw", ".xye"]
-
-
-def get_template_from_nxdl_name(nxdl_name):
-    """Generate template from nxdl name.
-
-    Example of nxdl name could be NXxrd_pan.
-    Parameters
-    ----------
-    nxdl_name : str
-        Name of nxdl file e.g. NXmpes
-
-    Returns
-    -------
-    Template
-        Empty template.
-
-    Raises
-    ------
-    ValueError
-        Error if nxdl file is not found.
-    """
-    nxdl_file = nxdl_name + ".nxdl.xml"
-    current_path = Path(__file__)
-    def_path = current_path.parent.parent.parent.parent / "definitions"
-    # Check contributed defintions
-    full_nxdl_path = Path(def_path, "contributed_definitions", nxdl_file)
-    root = None
-    if full_nxdl_path.exists():
-        root = ET.parse(full_nxdl_path).getroot()
-    else:
-        # Check application definition
-        full_nxdl_path = Path(def_path, "applications", nxdl_file)
-
-    if root is None and full_nxdl_path.exists():
-        root = ET.parse(full_nxdl_path).getroot()
-    else:
-        full_nxdl_path = Path(def_path, "base_classes", nxdl_file)
-
-    if root is None and full_nxdl_path.exists():
-        root = ET.parse(full_nxdl_path).getroot()
-    elif root is None:
-        raise ValueError("Need correct NXDL name")
-
-    template = Template()
-    generate_template_from_nxdl(root=root, template=template)
-    return template
-
-
-def get_template_from_xrd_reader(nxdl_name, file_paths):
-    """Get filled template from reader.
-
-    Parameters
-    ----------
-    nxdl_name : str
-        Name of nxdl definition
-    file_paths : Tuple[str]
-        Tuple of path of files.
-
-    Returns
-    -------
-    Template
-        Template which is a map from NeXus concept path to value.
-    """
-
-    template = get_template_from_nxdl_name(nxdl_name)
-
-    data = XRDReader().read(template=template, file_paths=file_paths)
-    validate_data_dict(template=template, data=data, nxdl_root=ROOT)
-    return data
-
-
-# pylint: disable=too-few-public-methods
-class XRDReader(BaseReader):
-    """Reader for XRD."""
-
-    supported_nxdls = ["NXxrd_pan"]
-
-    def read(
-        self,
-        template: dict = None,
-        file_paths: Tuple[str] = None,
-        objects: Tuple[Any] = None,
-    ):
-        """General read menthod to prepare the template."""
-
-        if not isinstance(file_paths, tuple) and not isinstance(file_paths, list):
-            file_paths = (file_paths,)
-        filled_template: Union[Dict, None] = Template()
-        eln_dict: Union[Dict[str, Any], None] = None
-        config_dict: Dict = {}
-        xrd_file: str = ""
-        xrd_file_ext: str = ""
-        for file in file_paths:
-            ext = "".join(Path(file).suffixes)
-            if ext == ".json":
-                with open(file, mode="r", encoding="utf-8") as fl_obj:
-                    config_dict = json.load(fl_obj)
-            elif ext in [".yaml", ".yml"]:
-                with open(file, mode="r", encoding="utf-8") as fl_obj:
-                    eln_dict = flatten_and_replace(
-                        FlattenSettings(
-                            yaml.safe_load(fl_obj), CONVERT_DICT, REPLACE_NESTED
-                        )
-                    )
-            elif ext in XRD_FILE_EXTENSIONS:
-                xrd_file_ext = ext
-                xrd_file = file
-        if xrd_file:
-            parse_and_fill_template(template, xrd_file, config_dict, eln_dict)
-        else:
-            raise ValueError(
-                f"Allowed XRD experimental with extenstion from"
-                f" {XRD_FILE_EXTENSIONS} found {xrd_file_ext}"
-            )
-
-        # Get rid of empty concept and cleaning up Template
-        for key, val in template.items():
-            if val is None:
-                del template[key]
-            else:
-                filled_template[key] = val
-        if not filled_template.keys():
-            raise ValueError(
-                "Reader could not read anything! Check for input files and the"
-                " corresponding extention."
-            )
-        return filled_template
-
-
-READER = XRDReader
diff --git a/pynxtools/dataconverter/readers/xrd/xrd_helper.py b/pynxtools/dataconverter/readers/xrd/xrd_helper.py
deleted file mode 100644
index 22b5ec3f8..000000000
--- a/pynxtools/dataconverter/readers/xrd/xrd_helper.py
+++ /dev/null
@@ -1,320 +0,0 @@
-"""XRD helper stuffs."""
-
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-import warnings
-import numpy as np
-from pynxtools.dataconverter.helpers import transform_to_intended_dt
-from pynxtools.dataconverter.template import Template
-
-
-class KeyValueNotFoundWaring(Warning):
-    """New Wanrning class"""
-
-
-def get_a_value_or_warn(
-    return_value="",
-    warning_catagory=KeyValueNotFoundWaring,
-    message="Key-value not found.",
-    stack_level=2,
-):
-    """It returns a value that and rase the warning massage."""
-
-    warnings.warn(f"\033[1;31m {message}:\033[0m]", warning_catagory, stack_level)
-    return return_value
-
-
-def check_unit(unit: str):
-    """Handle conflicted unit.
-    Some units comes with verdor file that do not follow correct format.
-    """
-    if unit is None:
-        return unit
-    unit_map = {
-        "Angstrom": "\u212B",
-    }
-    correct_unit = unit_map.get(unit, None)
-    if correct_unit is None:
-        return unit
-    return correct_unit
-
-
-# pylint: disable=too-many-statements
-def feed_xrdml_to_template(template, xrd_dict, eln_dict, file_term, config_dict=None):
-    """Fill template with data from xrdml type file.
-
-    Parameters
-    ----------
-    template : Dict
-        Template generated from nxdl definition file.
-    xrd_dict : dict
-        Just a dict mapping slash separated key to the data. The key is equivalent to the
-        path directing the location in data file.
-    eln_dict : dict
-        That brings the data from user especially using NeXus according to NeXus concept.
-    file_term : str
-        Terminological string to describe file ext. and version (e.g. xrdml_1.5) to find proper
-        dict from config file.
-    config_dict : Dict
-        Dictionary from config file that maps NeXus concept to data from different data file
-        versions. E.g.
-        {
-         "/ENTRY[entry]/2theta_plot/chi": {"file_exp": {"value": "",
-                                                        "@units": ""},},
-         "/ENTRY[entry]/2theta_plot/intensity": {"file_exp": {"value": "/detector",
-                                                              "@units": ""},}
-         }
-    """
-
-    def fill_template_from_config_data(
-        config_dict: dict, template: Template, xrd_dict: dict, file_term: str
-    ) -> None:
-        """
-        Parameters
-        ----------
-        config_dict : dict
-            Python dict that is nested dict for different file versions.
-            e.g.
-            {"/ENTRY[entry]/2theta_plot/chi": {"file_exp": {"value": "",
-                                                    "@units": ""},},
-            "/ENTRY[entry]/2theta_plot/intensity": {"file_exp": {"value": "/detector",
-                                                            "@units": ""},}
-            }
-        template : Template
-
-        Return
-        ------
-        None
-        """
-        for nx_key, val in config_dict.items():
-            if isinstance(val, dict):
-                raw_data_des: dict = val.get(file_term, None)
-                if raw_data_des is None:
-                    raise ValueError(
-                        f"conflict file config file does not have any data map"
-                        f" for file {file_term}"
-                    )
-                # the field does not have any value
-                if not raw_data_des.get("value", None):
-                    continue
-                # Note: path is the data path in raw file
-                for val_atr_key, path in raw_data_des.items():
-                    # data or field val
-                    if val_atr_key == "value":
-                        template[nx_key] = xrd_dict.get(path, None)
-                    elif path and val_atr_key == "@units":
-                        template[nx_key + "/" + val_atr_key] = check_unit(
-                            xrd_dict.get(path, None)
-                        )
-                    # attr e.g. @AXISNAME
-                    elif path and val_atr_key.startswith("@"):
-                        template[nx_key + "/" + val_atr_key] = xrd_dict.get(path, None)
-            if not isinstance(val, dict) and isinstance(val, str):
-                template[nx_key] = val
-
-    def two_theta_plot():
-        intesity = transform_to_intended_dt(
-            template.get("/ENTRY[entry]/2theta_plot/intensity", None)
-        )
-        if intesity is not None:
-            intsity_len = np.shape(intesity)[0]
-        else:
-            raise ValueError("No intensity is found")
-
-        two_theta_gr = "/ENTRY[entry]/2theta_plot/"
-        if template.get(f"{two_theta_gr}omega", None) is None:
-            omega_start = template.get(
-                "/ENTRY[entry]/COLLECTION[collection]/omega/start", None
-            )
-            omega_end = template.get(
-                "/ENTRY[entry]/COLLECTION[collection]/omega/end", None
-            )
-
-            template["/ENTRY[entry]/2theta_plot/omega"] = np.linspace(
-                float(omega_start), float(omega_end), intsity_len
-            )
-
-        if template.get(f"{two_theta_gr}two_theta", None) is None:
-            tw_theta_start = template.get(
-                "/ENTRY[entry]/COLLECTION[collection]/2theta/start", None
-            )
-            tw_theta_end = template.get(
-                "/ENTRY[entry]/COLLECTION[collection]/2theta/end", None
-            )
-            template[f"{two_theta_gr}two_theta"] = np.linspace(
-                float(tw_theta_start), float(tw_theta_end), intsity_len
-            )
-        template[two_theta_gr + "/" + "@axes"] = ["two_theta"]
-        template[two_theta_gr + "/" + "@signal"] = "intensity"
-
-    def q_plot():
-        q_plot_gr = "/ENTRY[entry]/q_plot"
-        alpha_2 = template.get(
-            "/ENTRY[entry]/INSTRUMENT[instrument]/SOURCE[source]/k_alpha_two", None
-        )
-        alpha_1 = template.get(
-            "/ENTRY[entry]/INSTRUMENT[instrument]/SOURCE[source]/k_alpha_one", None
-        )
-        two_theta: np.ndarray = template.get(
-            "/ENTRY[entry]/2theta_plot/two_theta", None
-        )
-        if two_theta is None:
-            raise ValueError("Two-theta data is not found")
-        if isinstance(two_theta, np.ndarray):
-            theta: np.ndarray = two_theta / 2
-        ratio_k = "/ENTRY[entry]/INSTRUMENT[instrument]/SOURCE[source]/ratio_k_alphatwo_k_alphaone"
-        if alpha_1 and alpha_2:
-            ratio = alpha_2 / alpha_1
-            template[ratio_k] = ratio
-            lamda = ratio * alpha_1 + (1 - ratio) * alpha_2
-            q_vec = (4 * np.pi / lamda) * np.sin(np.deg2rad(theta))
-            template[q_plot_gr + "/" + "q_vec"] = q_vec
-            template[q_plot_gr + "/" + "@q_vec_indicies"] = 0
-            template[q_plot_gr + "/" + "@axes"] = ["q_vec"]
-
-        template[q_plot_gr + "/" + "@signal"] = "intensity"
-
-    def handle_special_fields():
-        """Some fields need special treatment."""
-
-        key = "/ENTRY[entry]/COLLECTION[collection]/goniometer_x"
-        gonio_x = template.get(key, None)
-
-        template[key] = (
-            gonio_x[0]
-            if (isinstance(gonio_x, np.ndarray) and gonio_x.shape == (1,))
-            else gonio_x
-        )
-
-        key = "/ENTRY[entry]/COLLECTION[collection]/goniometer_y"
-        gonio_y = template.get(key, None)
-
-        template[key] = (
-            gonio_y[0]
-            if (isinstance(gonio_y, np.ndarray) and gonio_y.shape == (1,))
-            else gonio_y
-        )
-
-        key = "/ENTRY[entry]/COLLECTION[collection]/goniometer_z"
-        gonio_z = template.get(key, None)
-
-        template[key] = (
-            gonio_z[0]
-            if (isinstance(gonio_z, np.ndarray) and gonio_z.shape == (1,))
-            else gonio_z
-        )
-
-        key = "/ENTRY[entry]/COLLECTION[collection]/count_time"
-        count_time = template.get(key, None)
-
-        template[key] = (
-            count_time[0]
-            if (isinstance(count_time, np.ndarray) and count_time.shape == (1,))
-            else count_time
-        )
-
-    fill_template_from_config_data(config_dict, template, xrd_dict, file_term)
-    two_theta_plot()
-    q_plot()
-    handle_special_fields()
-
-    fill_template_from_eln_data(eln_dict, template)
-
-
-# pylint: disable=unused-argument
-def feed_udf_to_template(template, xrd_dict, eln_dict, config_dict):
-    """_summary_
-
-    Parameters
-    ----------
-    template : _type_
-        _description_
-    xrd_dict : _type_
-        _description_
-    eln_dict : _type_
-        _description_
-    config_dict : _type_
-        _description_
-    """
-
-
-def feed_raw_to_template(template, xrd_dict, eln_dict, config_dict):
-    """_summary_
-
-    Parameters
-    ----------
-    template : _type_
-        _description_
-    xrd_dict : _type_
-        _description_
-    eln_dict : _type_
-        _description_
-    config_dict : _type_
-        _description_
-    """
-
-
-def feed_xye_to_template(template, xrd_dict, eln_dict, config_dict):
-    """_summary_
-
-    Parameters
-    ----------
-    template : _type_
-        _description_
-    xrd_dict : _type_
-        _description_
-    eln_dict : _type_
-        _description_
-    config_dict : _type_
-        _description_
-    """
-
-
-def fill_template_from_eln_data(eln_data_dict, template):
-    """Fill out the template from dict that generated from eln yaml file.
-    Parameters:
-    -----------
-    eln_data_dict : dict[str, Any]
-        Python dictionary from eln file.
-    template : dict[str, Any]
-    Return:
-    -------
-    None
-    """
-
-    if eln_data_dict is None:
-        return
-    for e_key, e_val in eln_data_dict.items():
-        template[e_key] = transform_to_intended_dt(e_val)
-
-
-def fill_nxdata_from_xrdml(
-    template, xrd_flattend_dict, dt_nevigator_from_config_file, data_group_concept
-):
-    """_summary_
-
-    Parameters
-    ----------
-    template : _type_
-        _description_
-    xrd_flattend_dict : _type_
-        _description_
-    dt_nevigator_from_config_file : _type_
-        _description_
-    data_group_concept : _type_
-        _description_
-    """
diff --git a/pynxtools/dataconverter/readers/xrd/xrd_parser.py b/pynxtools/dataconverter/readers/xrd/xrd_parser.py
deleted file mode 100644
index 2dba3927e..000000000
--- a/pynxtools/dataconverter/readers/xrd/xrd_parser.py
+++ /dev/null
@@ -1,475 +0,0 @@
-"""
-XRD file parser collection.
-"""
-
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-from typing import Dict, Tuple, Optional, List
-
-from pathlib import Path
-import warnings
-import xml.etree.ElementTree as ET  # for XML parsing
-from pynxtools.dataconverter.helpers import (
-    transform_to_intended_dt,
-    remove_namespace_from_tag,
-)
-from pynxtools.dataconverter.readers.xrd.xrd_helper import feed_xrdml_to_template
-
-
-def fill_slash_sep_dict_from_nested_dict(
-    parent_path: str, nested_dict: dict, slash_sep_dict: dict
-):
-    """Convert a nested dict into slash separated dict.
-
-    Extend slash_sep_dict by key (slash separated key) from nested dict.
-
-    Parameters
-    ----------
-    parent_path : str
-        Parent path to be appended at the starting of slash separated key.
-    nested_dict : dict
-        Dict nesting other dict.
-    slash_sep_dict : dict
-        Plain dict to be extended by key value generated from nested_dict.
-    """
-    for key, val in nested_dict.items():
-        slash_sep_path = parent_path + key
-        if isinstance(val, dict):
-            fill_slash_sep_dict_from_nested_dict(slash_sep_path, val, slash_sep_dict)
-        else:
-            slash_sep_dict[slash_sep_path] = val
-
-
-class IgnoreNodeTextWarning(Warning):
-    """Special class to warn node text skip."""
-
-
-class XRDMLParser:
-    """Parser for xrdml file with the help of other XRD library e.g. panalytical_xml."""
-
-    def __init__(self, file_path):
-        """Construct XRDMLParser obj.
-
-        Parameters
-        ----------
-        file_path : str
-            Path of the file.
-        """
-        # In future it can be utilised later it different versions of file
-        # self.__version = None
-        self.__xrd_dict = {}
-        self.__file_path = file_path
-        self.xrdml_version: str = ""
-        self.xml_root = ET.parse(self.__file_path).getroot()
-        self.find_version()
-        # Important note for key-val pair separator list: preceding elements have precedence on the
-        # on the following elements
-        self.key_val_pair_sprtr = (";", ",")
-        # Important note for key-val separator list: preceding elements have precedence on the
-        # on the following elements
-        self.key_val_sprtr = ("=", ":")
-
-    def find_version(self):
-        """To find xrdml file version."""
-        schema_loc = "{http://www.w3.org/2001/XMLSchema-instance}schemaLocation"
-        # str: 'http://www.xrdml.com/XRDMeasurement/1.5
-        version = self.xml_root.get(schema_loc).split(" ")[0]
-        self.xrdml_version = version.split("/")[-1]
-
-    def get_slash_separated_xrd_dict(self):
-        """Return a dict with slash separated key and value from xrd file.
-
-        The key is the slash separated string path for nested xml elements.
-
-        Returns
-        -------
-        dict:
-            Dictionary where key maps xml nested elements by slash separated str.
-        """
-        # To navigate different functions in future according to some parameters
-        # such as version, and data analysis module from panalytical_xml
-        self.handle_with_panalytical_module()
-        return self.__xrd_dict
-
-    def handle_with_panalytical_module(self):
-        """Handeling XRDml file by parsing xml file and Pnanalytical_xml parser
-
-        Panalytical module extends and constructs some array data from experiment settings
-        comes with xml file.
-        """
-        self.parse_each_elm(parent_path="/", xml_node=self.xml_root)
-        nested_data_dict: Dict[str, any] = {}
-        # Note: To use panalytical lib
-        # Extract other numerical data e.g. 'hkl', 'Omega', '2Theta', CountTime etc
-        # using panalytical_xml module
-        # parsed_data = XRDMLFile(self.__file_path)
-        # nested_data_dict = parsed_data.scan.ddict
-        fill_slash_sep_dict_from_nested_dict("/", nested_data_dict, self.__xrd_dict)
-
-    def process_node_text(self, parent_path, node_txt) -> None:
-        """Processing text of node
-
-        Parameters
-        ----------
-        parent_path : str
-            Starting str of the key when forming a string key.
-        node_txt : str
-            text from node.
-
-        Returns
-        ------
-        None
-        """
-        key_val_pairs = []
-        # get key-val pair
-        for sep in self.key_val_pair_sprtr:
-            if sep in node_txt:
-                key_val_pairs.extend(node_txt.split(sep))
-                break
-        # Separate key-val, build full path and
-        # store them in dict
-        if key_val_pairs:
-            for key_val in key_val_pairs:
-                for k_v_sep in self.key_val_sprtr:
-                    if k_v_sep in key_val:
-                        key, val = key_val.split(k_v_sep)
-                        key = key.replace(" ", "")
-                        self.__xrd_dict["/".join([parent_path, key])] = val
-                        break
-        # Handling array data comes as node text
-        else:
-            try:
-                self.__xrd_dict[parent_path] = transform_to_intended_dt(node_txt)
-            except ValueError:
-                warnings.warn(
-                    f"Element text {node_txt} is ignored from parseing!",
-                    IgnoreNodeTextWarning,
-                )
-
-    def parse_each_elm(
-        self,
-        parent_path,
-        xml_node,
-        multi_childs_tag: str = "",
-        tag_extensions: Optional[List[int]] = None,
-    ):
-        """Check each xml element and send the element to intended function.
-
-        Parameters
-        ----------
-        parent_path : str
-            Path to be in the starting of the key composing from element e.g. '/'.
-        xml_node : XML.Element
-            Any element except process instruction nodes.
-        multi_childs_tag : str
-            Tag that is available on several child nodes.
-        tag_extension : List[int]
-            List of extension of the child tag if there are several childs having the same
-            tag.
-
-        Returns
-        ------
-        None
-        """
-
-        tag = remove_namespace_from_tag(xml_node.tag)
-        # Take care of special node of 'entry' tag
-        if tag == "entry":
-            parent_path = self.parse_entry_elm(
-                parent_path, xml_node, multi_childs_tag, tag_extensions
-            )
-        else:
-            parent_path = self.parse_general_elm(
-                parent_path, xml_node, multi_childs_tag, tag_extensions
-            )
-
-        _, multi_childs_tag = self.has_multi_childs_with_same_tag(xml_node)
-        # List of tag extensions for child nodes which have the same tag.
-        tag_extensions = [0]
-        for child in iter(xml_node):
-            if child is not None:
-                self.parse_each_elm(
-                    parent_path, child, multi_childs_tag, tag_extensions
-                )
-
-    def has_multi_childs_with_same_tag(
-        self, parent_node: ET.Element
-    ) -> Tuple[bool, str]:
-        """Check for multiple childs that have the same tag.
-
-        Parameter:
-        ----------
-        parent_node : ET.Element
-            Parent node that might has multiple childs with the same tag.
-
-        Returns:
-        --------
-        Tuple[bool, str]
-            (true if multiple childs with the same tag, tag).
-        """
-        tag: str = None
-        for child in iter(parent_node):
-            temp_tag = remove_namespace_from_tag(child.tag)
-            if tag is None:
-                tag = temp_tag
-            else:
-                if tag == temp_tag:
-                    return (True, tag)
-
-        return (False, "")
-
-    def parse_general_elm(
-        self, parent_path, xml_node, multi_childs_tag, tag_extensions: List[int]
-    ):
-        """Handle general element except entry element.
-        Parameters
-        ----------
-        parent_path : str
-            Path to be in the starting of the key composing from element e.g. '/'.
-        xml_node : XML.Element
-            Any element except process instruction and entry nodes.
-        multi_childs_tag : str
-            Tag that is available on several siblings.
-        tag_extension : List[int]
-            List of extension of the shiblings tag if there are several shiblings having
-            the same tag.
-
-        Returns
-        -------
-        None
-        """
-
-        tag = remove_namespace_from_tag(xml_node.tag)
-        if tag == multi_childs_tag:
-            new_ext = tag_extensions[-1] + 1
-            tag = tag + "_" + str(new_ext)
-            tag_extensions.append(new_ext)
-
-        if parent_path == "/":
-            parent_path = parent_path + tag
-        else:
-            # New parent path ends with element tag
-            parent_path = "/".join([parent_path, tag])
-
-        node_attr = xml_node.attrib
-        if node_attr:
-            for key, val in node_attr.items():
-                # Some attr has namespace
-                key = remove_namespace_from_tag(key)
-                key = key.replace(" ", "_")
-                path_extend = "/".join([parent_path, key])
-                self.__xrd_dict[path_extend] = val
-
-        node_txt = xml_node.text
-        if node_txt:
-            self.process_node_text(parent_path, node_txt)
-
-        return parent_path
-
-    def parse_entry_elm(
-        self,
-        parent_path: str,
-        xml_node: ET.Element,
-        multi_childs_tag: str,
-        tag_extensions: List[int],
-    ):
-        """Handle entry element.
-
-        Parameters
-        ----------
-        parent_path : str
-            Path to be in the starting of the key composing from element e.g. '/'.
-        xml_node : XML.Element
-            Any entry node.
-        multi_childs_tag : str
-            Tag that is available on several siblings.
-        tag_extension : List[int]
-            List of extension of the shiblings tag if there are several shiblings having
-            the same tag.
-
-        Returns
-        -------
-        str:
-            Parent path.
-        """
-
-        tag = remove_namespace_from_tag(xml_node.tag)
-
-        if tag == multi_childs_tag:
-            new_ext = tag_extensions[-1] + 1
-            tag_extensions.append(new_ext)
-            tag = tag + "_" + str(new_ext)
-
-        if parent_path == "/":
-            parent_path = "/" + tag
-        else:
-            # Parent path ends with element tag
-            parent_path = "/".join([parent_path, tag])
-
-        node_attr = xml_node.attrib
-        if node_attr:
-            for key, val in node_attr.items():
-                # Some attributes have namespace
-                key = remove_namespace_from_tag(key)
-                path_extend = "/".join([parent_path, key])
-                self.__xrd_dict[path_extend] = val
-
-        # In entry element text must get special care on it
-        node_txt = xml_node.text
-        if node_txt:
-            self.process_node_text(parent_path, node_txt)
-
-        return parent_path
-
-
-class FormatParser:
-    """A class to identify and parse different file formats."""
-
-    def __init__(self, file_path):
-        """Construct FormatParser obj.
-
-        Parameters
-        ----------
-        file_path : str
-            XRD file to be parsed.
-
-        Returns
-        -------
-        None
-        """
-        self.file_path = file_path
-        self.file_parser = XRDMLParser(self.file_path)
-        # termilnological name of file to read config file
-        self.file_term = "xrdml_" + self.file_parser.xrdml_version
-
-    def get_file_format(self):
-        """Identifies the format of a given file.
-
-        Returns:
-        --------
-        str:
-            The file extension of the file.
-        """
-        file_extension = "".join(Path(self.file_path).suffixes)
-        return file_extension
-
-    def parse_xrdml(self):
-        """Parses a Panalytical XRDML file.
-
-        Returns
-        -------
-        dict
-            A dictionary containing the parsed XRDML data.
-        """
-        return self.file_parser.get_slash_separated_xrd_dict()
-
-    def parse_panalytical_udf(self):
-        """Parse the Panalytical .udf file.
-
-        Returns
-        -------
-        None
-            Placeholder for parsing .udf files.
-        """
-
-    def parse_bruker_raw(self):
-        """Parse the Bruker .raw file.
-
-        Returns
-        None
-        """
-
-    def parse_bruker_xye(self):
-        """Parse the Bruker .xye file.
-
-        Returns
-        None
-        """
-
-    # pylint: disable=import-outside-toplevel
-    def parse_and_populate_template(self, template, config_dict, eln_dict):
-        """Parse xrd file into dict and fill the template.
-
-        Parameters
-        ----------
-        template : Template
-            NeXus template generated from NeXus application definitions.
-        xrd_file : str
-            Name of the xrd file.
-        config_dict : dict
-            A dict geenerated from python
-        eln_dict : dict
-            A dict generatd from eln yaml file.
-        Returns:
-        None
-        """
-
-        xrd_dict = self.parse()
-        if len(config_dict) == 0 and self.file_parser.xrdml_version == "1.5":
-            from pynxtools.dataconverter.readers.xrd.config import xrdml
-
-            config_dict = xrdml
-        feed_xrdml_to_template(
-            template,
-            xrd_dict,
-            eln_dict,
-            file_term=self.file_term,
-            config_dict=config_dict,
-        )
-
-    def parse(self):
-        """Parses the file based on its format.
-
-        Returns:
-        dict
-            A dictionary containing the parsed data.
-
-        Raises:
-            ValueError: If the file format is unsupported.
-        """
-        file_format = self.get_file_format()
-        slash_sep_dict = {}
-        if file_format == ".xrdml":
-            slash_sep_dict = self.parse_xrdml()
-        # elif file_format == ".udf":
-        #     return self.parse_panalytical_udf()
-        # elif file_format == ".raw":
-        #     return self.parse_bruker_raw()
-        # elif file_format == ".xye":
-        #     return self.parse_bruker_xye()
-        # else:
-        #     raise ValueError(f"Unsupported file format: {file_format}")
-        return slash_sep_dict
-
-
-def parse_and_fill_template(template, xrd_file, config_dict, eln_dict):
-    """Parse xrd file and fill the template with data from that file.
-
-    Parameters
-    ----------
-    template : Template[dict]
-        Template gnenerated from nxdl definition.
-    xrd_file : str
-        Name of the xrd file with extension
-    config_dict : Dict
-        Dictionary from config.json or similar file.
-    eln_dict : Dict
-        Plain and '/' separated dictionary from yaml for ELN.
-    """
-
-    format_parser = FormatParser(xrd_file)
-    format_parser.parse_and_populate_template(template, config_dict, eln_dict)
diff --git a/tests/data/dataconverter/readers/xrd/ACZCTS_5-60_181.xrdml b/tests/data/dataconverter/readers/xrd/ACZCTS_5-60_181.xrdml
deleted file mode 100644
index 5af61b718..000000000
--- a/tests/data/dataconverter/readers/xrd/ACZCTS_5-60_181.xrdml
+++ /dev/null
@@ -1,106 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<xrdMeasurements xmlns="http://www.xrdml.com/XRDMeasurement/1.5" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.xrdml.com/XRDMeasurement/1.5 http://www.xrdml.com/XRDMeasurement/1.5/XRDMeasurement.xsd" status="Completed">
-	<comment>
-		<entry>Configuration=XYZ Stage, Owner=User-1, Creation date=02-Nov-17 2:08:05 PM</entry>
-		<entry>Goniometer=PW3050/60 (Theta/Theta); Minimum step size 2Theta:0.001; Minimum step size Omega:0.001</entry>
-		<entry>Sample stage=Programmable x,y,z stage; Minimum step size X:0.01; Minimum step size Y:0.01; Minimum step size Z:0.001</entry>
-		<entry>Diffractometer system=XPERT-PRO</entry>
-		<entry>Measurement program=D:\user\Pepe\program_files\BB_10-80_18min.xrdmp, Identifier={5202C7B3-EFFD-43D7-83CA-1A77018B086F}</entry>
-		<entry>Batch program=D:\user\Pepe\program_files\batch_5samples.xrdmp, Identifier={49B9A751-97B5-49F0-9CAA-E07AE5E71B6A}</entry>
-	</comment>
-	<sample type="To be analyzed">
-		<id></id>
-		<name></name>
-		<preparedBy></preparedBy>
-	</sample>
-	<xrdMeasurement measurementType="Scan" status="Completed" sampleMode="Reflection">
-		<comment>
-			<entry>PHD Lower Level = 4.02 (keV), PHD Upper Level = 11.26 (keV)</entry>
-		</comment>
-		<usedWavelength intended="K-Alpha">
-			<kAlpha1 unit="Angstrom">1.5405980</kAlpha1>
-			<kAlpha2 unit="Angstrom">1.5444260</kAlpha2>
-			<kBeta unit="Angstrom">1.3922500</kBeta>
-			<ratioKAlpha2KAlpha1>0.5000</ratioKAlpha2KAlpha1>
-		</usedWavelength>
-		<incidentBeamPath>
-			<radius unit="mm">240.00</radius>
-			<xRayTube id="1010048" name="Empyrean Cu LFF HR (9430 033 7310x) DK415251">
-				<tension unit="kV">40</tension>
-				<current unit="mA">40</current>
-				<anodeMaterial>Cu</anodeMaterial>
-				<focus type="Line">
-					<length unit="mm">12.0</length>
-					<width unit="mm">0.4</width>
-					<takeOffAngle unit="deg">6.0</takeOffAngle>
-				</focus>
-			</xRayTube>
-			<sollerSlit id="21010002" name="Soller slits 0.04 rad.">
-				<opening unit="rad">0.0400</opening>
-			</sollerSlit>
-			<mask id="22080003" name="Fixed incident beam mask 15 mm">
-				<width unit="mm">11.60</width>
-			</mask>
-			<divergenceSlit id="22010005" name="Fixed slit 1/4°" xsi:type="fixedDivergenceSlitType">
-				<distanceToSample unit="mm">140.00</distanceToSample>
-				<height unit="mm">0.38</height>
-			</divergenceSlit>
-		</incidentBeamPath>
-		<diffractedBeamPath>
-			<radius unit="mm">240.00</radius>
-			<antiScatterSlit id="22090010" name="AS slit 8.0 mm (PIXcel)" xsi:type="fixedAntiScatterSlitType">
-				<height unit="mm">8.00</height>
-			</antiScatterSlit>
-			<sollerSlit id="21010002" name="Soller slits 0.04 rad.">
-				<opening unit="rad">0.0400</opening>
-			</sollerSlit>
-			<filter id="20030001" name="Large beta-filter Nickel">
-				<material>Ni</material>
-				<thickness unit="mm">0.020</thickness>
-			</filter>
-			<detector id="7010015" name="PIXcel1D detector" xsi:type="rtmsDetectorType">
-				<phd>
-					<lowerLevel unit="%">25.0</lowerLevel>
-					<upperLevel unit="%">70.0</upperLevel>
-				</phd>
-				<mode>Scanning</mode>
-				<activeLength unit="deg">3.347</activeLength>
-			</detector>
-		</diffractedBeamPath>
-		<scan appendNumber="0" mode="Continuous" scanAxis="Gonio" status="Completed">
-			<header>
-				<startTimeStamp>2018-06-12T18:34:49+02:00</startTimeStamp>
-				<endTimeStamp>2018-06-12T18:53:34+02:00</endTimeStamp>
-				<author>
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467 454 461 459 466 477 440 448 480 468 422 404 464 418 493 464 453 472 460 501 461 447 462 466 432 453 419 412 450 427 415 470 450 454 458 413 411 477 476 470 465 497 437 437 498 472 492 435 494 458 453 473 459 443 436 467 438 392 419 445 448 435 436 453 406 502 486 503 427 432 482 425 451 433 432 446 461 421 451 413 479 446 419 457 429 458 450 449 434 433 491 481 450 465 428 447 465 464 458 426 416 484 479 435 438 425 454 431 483 455 460 451 462 441 443 460 443 430 444 457 444 432 471 436 414 474 452 437 462 457 406 459 465 449 450 452 441 442 456 479 412 440 474 424 435 432 429 429 449 450 456 439 456 464 431 458 460 409 434 443 451 442 438 426 476 448 409 435 445 415 422 434 398 479 465 477 425 442 460 441 423 447 405 477 406 443 414 440 474 450 461 440 440 479 418 474 511 465 472 460 458 454 472 466 513 520 498 511 501 576 509 532 473 479 487 517 499 452 493 487 474 513 444 493 478 485 484 472 484 483 461 497 494 460 424 467 460 425 448 473 413 430 426 440 417 463 444 445 421 473 423 421 449 433 485 441 455 424 460 460 399 424 455 446 455 437 444 406 453 443 456 429 436 459 443 453 438 469 452 432 420 462 403 471 504 465 440 493 478 469 454 475 446 446 466 526 481 436 422 446 508 456 429 471 425 450 405 431 446 469 460 459 455 425 486 465 510 438 405 430 460 445 423 413 434 443 430 439 417 394 471 472 458 449 445 428 431 457 406 458 452 434 431 432 426 446 445 478 439 399 439 434 418 381 423 441 470 431 421 459 412 427 440 463 392 419 431 407 437 457 431 407 412 430 423 439 459 454 419 451 430 465 452 445 422 435 404 441 416 448 420 442 464 419 431 431 439 443 439 457 423 467 420 413 395 421 386 456 418 434 438 424 424 442 446 448 426 425 436 464 433 419 464 416 440 418 440 444 399 433 456 504 446 477 459 451 461 451 426 437 472 434 449 445 453 430 425 428 450 453 461 481 423 442 453 433 445 430 403 413 454 439 414 465 397 416 430 423 404 379 419 424 413 428 400 408 429 475 431 425 399 453 409 353 421 417 423 402 425 401 439 383 405 412 417 410 409 420 425 462 430 423 489 435 420 422 420 412 430 393 420 414 390 409 454 402 422 392 419 385 433 428 438 401 419 441 402 405 417 444 438 417 395 428 380 450 415 403 437 425 406 409 444 405 398 387 427 387 396 379 436 422 428 441 422 416 403 438 443 419 425 438 428 397 427 428 408 424 428 415 429 374 474 439 449 427 415 428 419 407 432 419 431 455 439 446 426 438 449 446 473 430 419 451 417 404 469 453 491 457 456 472 481 482 460 492 488 480 464 507 471 508 511 530 534 531 538 553 569 545 546 578 597 602 588 606 592 650 655 658 642 687 679 727 676 676 706 753 753 737 759 716 696 754 790 771 778 797 807 757 734 805 724 691 764 721 767 794 746 678 754 723 717 662 691 675 634 616 655 638 651 633 676 614 537 578 565 569 537 606 554 533 565 520 568 535 461 517 482 538 473 487 529 490 474 461 440 451 478 455 419 438 434 420 445 460 430 425 440 488 455 457 487 423 422 464 425 448 441 429 405 435 457 436 455 446 400 412 440 426 498 413 428 393 423 401 412 379 435 449 494 475 423 444 440 487 488 526 522 487 506 532 497 467 465 472 470 455 469 409 484 503 469 437 459 483 461 467 481 491 473 517 441 419 458 469 480 460 473 426 466 487 491 506 511 543 602 662 651 651 563 558 506 503 507 461 427 474 462 512 463 522 498 481 532 534 493 472 454 456 426 446 440 452 394 410 412 434 423 416 361 378 390 416 391 390 391 384 366 394 401 360 393 424 408 346 384 404 381 397 383 385 398 415 392 390 388 405 395 383 399 397 385 398 386 371 386 386 378 356 369 392 351 411 383 468 365 416 392 374 420 380 395 370 403 349 378 371 410 380 357 387 393 374 405 398 388 398 376 384 401 356 381 400 389 384 395 344 397 406 370 402 400 433 430 376 369 403 399 384 382 379 389 430 370 402 372 406 424 374 401 424 466 365 412 415 403 409 412 414 384 393 388 390 407 398 425 415 414 424 401 369 422 384 392 396 373 355 380 421 359 356 408 443 369 428 423 389 370 372 367 371 400 372 402 382 363 357 360 428 391 357 379 382 392 365 380 366 392 385 366 389 430 376 402 389 390 413 363 375 414 358 382 392 363 393 423 395 439 412 373 364 392 402 351 379 424 410 370 356 378 372 369 369 405 393 419 367 404 383 387 387 376 375 390 343 382 364 411 362 372 388 345 351 392 396 388 349 372 391 396 388 347 375 350 379 375 381 373 397 379 392 342 373 378 325 400 352 388 349 364 389 345 358 382 360 379 355 359 348 369 412 374 348 429 361 399 353 391 368 385 357 376 358 355 383 354 346 351 373 402 364 361 435 375 405 391 423 381 359 351 378 362 406 368 335 404 334 384 380 356 359 365 397 398 348 342 396 365 357 354 365 388 365 342 404 378 372 333 344 362 397 393 346 333 384 387 365 357 394 347</intensities>
-			</dataPoints>
-		</scan>
-	</xrdMeasurement>
-</xrdMeasurements>

From 8f691e76474ff033bf0aee01007f37b090c0df4c Mon Sep 17 00:00:00 2001
From: mkuehbach <markus.kuehbach@physik.hu-berlin.de>
Date: Mon, 18 Mar 2024 19:03:00 +0100
Subject: [PATCH 26/58] Inform users where to go during the plugin-creation,
 migration phase for em and apm

---
 README.md | 5 +++++
 1 file changed, 5 insertions(+)

diff --git a/README.md b/README.md
index d499accde..1cbead3d5 100644
--- a/README.md
+++ b/README.md
@@ -58,6 +58,11 @@ There are a number of plugins available for pynxtools. These are extensions of p
 - [**pynxtools-stm**](https://github.com/FAIRmat-NFDI/pynxtools-stm): A reader for scanning tunneling microscopy (SPM) and spectroscopy (STS) data.
 - [**pynxtools-xps**](https://github.com/FAIRmat-NFDI/pynxtools-xps): A reader for X-ray photoelectron spectroscopy (XPS) data.
 
+Respective readers for the research fields of electron microscopy and atom probe are currently refactored into pynxtools plugins.
+Until this refactoring will have become completed, users are advised to use the apm and em readers via pynxtools<=0.1.1.
+- [**pynxtools-apm**](https://github.com/FAIRmat-NFDI/pynxtools-apm): A reader for atom probe as well as related field ion microscopy data.
+- [**pynxtools-em**](https://github.com/FAIRmat-NFDI/pynxtools-em): A reader for electron microscopy data.
+
 You can install each of the plugins together with `pynxtools` by passing the name of the plugin as an extra to the pip install call. For example, for the `pynxtools-mpes` plugin:
 ```shell
 pip install pynxtools[mpes]

From 965aee72af95e1d316414d53fb564834e49acf7b Mon Sep 17 00:00:00 2001
From: mkuehbach <markus.kuehbach@physik.hu-berlin.de>
Date: Mon, 18 Mar 2024 19:20:17 +0100
Subject: [PATCH 27/58] Remove em-specific dataconverters as their
 functionality is superseeded by the pynxtools-em plugin, implementing a
 contribution for #283

---
 dev-requirements.txt                          |  368 +-----
 examples/em_nion/README.md                    |   24 -
 .../em_nion/Write.NXem_nion.Example.1.ipynb   |  287 -----
 examples/em_nion/eln_data_em_nion.yaml        |   63 -
 examples/em_om/README.md                      |   37 -
 .../em_om/Write.NXem_ebsd.Example.1.ipynb     |  377 ------
 examples/em_om/eln_data_em_om.yaml            |   65 -
 examples/em_spctrscpy/README.md               |   24 -
 .../em_spctrscpy/Write.NXem.Example.1.ipynb   |  349 ------
 .../em_spctrscpy/eln_data_em_spctrscpy.yaml   |   64 -
 .../dataconverter/readers/em_nion/README.md   |   41 -
 .../dataconverter/readers/em_nion/__init__.py |    0
 .../readers/em_nion/map_concepts/README.md    |   12 -
 .../map_concepts/swift_display_items_to_nx.py |  107 --
 .../map_concepts/swift_eln_to_nx_map.py       |  214 ----
 .../swift_to_nx_image_ang_space.py            |  152 ---
 .../swift_to_nx_image_real_space.py           |  492 --------
 .../map_concepts/swift_to_nx_spectrum_eels.py |  654 ----------
 .../dataconverter/readers/em_nion/reader.py   |  115 --
 .../em_nion/utils/em_nion_versioning.py       |   34 -
 .../em_nion/utils/swift_define_io_cases.py    |   84 --
 .../utils/swift_generate_dimscale_axes.py     |   65 -
 .../em_nion/utils/swift_load_generic_eln.py   |  177 ---
 .../em_nion/utils/swift_uuid_to_file_name.py  |   40 -
 .../utils/swift_zipped_project_parser.py      |  411 ------
 .../dataconverter/readers/em_om/README.md     |   11 -
 .../dataconverter/readers/em_om/__init__.py   |    0
 .../dataconverter/readers/em_om/reader.py     |  152 ---
 .../readers/em_om/utils/__init__.py           |    0
 .../em_om/utils/dream3d_ebsd_parser.py        |  404 ------
 .../em_om/utils/dream3d_filter_class.py       |   60 -
 .../dream3d_v65163_color_keys/Cubic_High.png  |  Bin 495242 -> 0 bytes
 .../dream3d_v65163_color_keys/Cubic_low.png   |  Bin 93674 -> 0 bytes
 .../dream3d_v65163_color_keys/Hex_high.png    |  Bin 329677 -> 0 bytes
 .../dream3d_v65163_color_keys/Hex_low.png     |  Bin 546945 -> 0 bytes
 .../dream3d_v65163_color_keys/Monoclinic.png  |  Bin 436161 -> 0 bytes
 .../Orthorhombic.png                          |  Bin 608879 -> 0 bytes
 .../Tetragonal_High.png                       |  Bin 435789 -> 0 bytes
 .../Tetragonal_Low.png                        |  Bin 604210 -> 0 bytes
 .../dream3d_v65163_color_keys/Triclinic.png   |  Bin 808316 -> 0 bytes
 .../Trigonal_Low.png                          |  Bin 345510 -> 0 bytes
 .../trigonal_HIgh.png                         |  Bin 509068 -> 0 bytes
 .../readers/em_om/utils/em_nexus_plots.py     |  125 --
 .../em_om/utils/euler_angle_convention.py     |   65 -
 .../readers/em_om/utils/generic_eln_io.py     |  366 ------
 .../readers/em_om/utils/handed_cartesian.py   |  749 -----------
 .../readers/em_om/utils/image_transform.py    |   51 -
 .../readers/em_om/utils/msmse_convention.py   |   49 -
 .../readers/em_om/utils/mtex_ebsd_parser.py   |  320 -----
 .../readers/em_om/utils/orix_ebsd_parser.py   |  565 ---------
 .../readers/em_om/utils/use_case_selector.py  |  171 ---
 .../readers/em_om/utils/versioning.py         |   31 -
 .../readers/em_om/utils/zip_ebsd_parser.py    |  221 ----
 .../readers/em_spctrscpy/README.md            |  194 ---
 .../readers/em_spctrscpy/__init__.py          |    0
 .../readers/em_spctrscpy/reader.py            |  145 ---
 .../readers/em_spctrscpy/utils/__init__.py    |    0
 .../em_spctrscpy/utils/em_event_data.py       |  147 ---
 .../em_spctrscpy/utils/em_example_data.py     |  525 --------
 .../em_spctrscpy/utils/em_generic_eln_io.py   |  414 ------
 .../utils/em_nexus_base_classes.py            |  181 ---
 .../em_spctrscpy/utils/em_nexus_plots.py      |  193 ---
 .../utils/em_use_case_selector.py             |   93 --
 .../em_spctrscpy/utils/em_versioning.py       |   31 -
 .../em_spctrscpy/utils/hspy/em_hspy_adf.py    |  258 ----
 .../utils/hspy/em_hspy_comments.py            |   90 --
 .../em_spctrscpy/utils/hspy/em_hspy_eels.py   |  357 ------
 .../em_spctrscpy/utils/hspy/em_hspy_xray.py   |  494 --------
 .../em_spctrscpy/utils/oina/em_oina_xray.py   |   22 -
 pyproject.toml                                |   16 +-
 .../dataconverter/readers/em_nion/README.md   |    2 -
 .../nxem.schema.archive.yaml                  |  503 --------
 .../dataconverter/readers/em_om/README.md     |    2 -
 .../nxem_ebsd.schema.archive.yaml             | 1105 -----------------
 .../readers/em_spctrscpy/README.md            |    2 -
 .../nxem.schema.archive.yaml                  |  507 --------
 76 files changed, 15 insertions(+), 12862 deletions(-)
 delete mode 100644 examples/em_nion/README.md
 delete mode 100644 examples/em_nion/Write.NXem_nion.Example.1.ipynb
 delete mode 100644 examples/em_nion/eln_data_em_nion.yaml
 delete mode 100644 examples/em_om/README.md
 delete mode 100644 examples/em_om/Write.NXem_ebsd.Example.1.ipynb
 delete mode 100644 examples/em_om/eln_data_em_om.yaml
 delete mode 100644 examples/em_spctrscpy/README.md
 delete mode 100644 examples/em_spctrscpy/Write.NXem.Example.1.ipynb
 delete mode 100644 examples/em_spctrscpy/eln_data_em_spctrscpy.yaml
 delete mode 100644 pynxtools/dataconverter/readers/em_nion/README.md
 delete mode 100644 pynxtools/dataconverter/readers/em_nion/__init__.py
 delete mode 100644 pynxtools/dataconverter/readers/em_nion/map_concepts/README.md
 delete mode 100644 pynxtools/dataconverter/readers/em_nion/map_concepts/swift_display_items_to_nx.py
 delete mode 100644 pynxtools/dataconverter/readers/em_nion/map_concepts/swift_eln_to_nx_map.py
 delete mode 100644 pynxtools/dataconverter/readers/em_nion/map_concepts/swift_to_nx_image_ang_space.py
 delete mode 100644 pynxtools/dataconverter/readers/em_nion/map_concepts/swift_to_nx_image_real_space.py
 delete mode 100644 pynxtools/dataconverter/readers/em_nion/map_concepts/swift_to_nx_spectrum_eels.py
 delete mode 100644 pynxtools/dataconverter/readers/em_nion/reader.py
 delete mode 100644 pynxtools/dataconverter/readers/em_nion/utils/em_nion_versioning.py
 delete mode 100644 pynxtools/dataconverter/readers/em_nion/utils/swift_define_io_cases.py
 delete mode 100644 pynxtools/dataconverter/readers/em_nion/utils/swift_generate_dimscale_axes.py
 delete mode 100644 pynxtools/dataconverter/readers/em_nion/utils/swift_load_generic_eln.py
 delete mode 100644 pynxtools/dataconverter/readers/em_nion/utils/swift_uuid_to_file_name.py
 delete mode 100644 pynxtools/dataconverter/readers/em_nion/utils/swift_zipped_project_parser.py
 delete mode 100644 pynxtools/dataconverter/readers/em_om/README.md
 delete mode 100644 pynxtools/dataconverter/readers/em_om/__init__.py
 delete mode 100644 pynxtools/dataconverter/readers/em_om/reader.py
 delete mode 100644 pynxtools/dataconverter/readers/em_om/utils/__init__.py
 delete mode 100644 pynxtools/dataconverter/readers/em_om/utils/dream3d_ebsd_parser.py
 delete mode 100644 pynxtools/dataconverter/readers/em_om/utils/dream3d_filter_class.py
 delete mode 100644 pynxtools/dataconverter/readers/em_om/utils/dream3d_v65163_color_keys/Cubic_High.png
 delete mode 100644 pynxtools/dataconverter/readers/em_om/utils/dream3d_v65163_color_keys/Cubic_low.png
 delete mode 100644 pynxtools/dataconverter/readers/em_om/utils/dream3d_v65163_color_keys/Hex_high.png
 delete mode 100644 pynxtools/dataconverter/readers/em_om/utils/dream3d_v65163_color_keys/Hex_low.png
 delete mode 100644 pynxtools/dataconverter/readers/em_om/utils/dream3d_v65163_color_keys/Monoclinic.png
 delete mode 100644 pynxtools/dataconverter/readers/em_om/utils/dream3d_v65163_color_keys/Orthorhombic.png
 delete mode 100644 pynxtools/dataconverter/readers/em_om/utils/dream3d_v65163_color_keys/Tetragonal_High.png
 delete mode 100644 pynxtools/dataconverter/readers/em_om/utils/dream3d_v65163_color_keys/Tetragonal_Low.png
 delete mode 100644 pynxtools/dataconverter/readers/em_om/utils/dream3d_v65163_color_keys/Triclinic.png
 delete mode 100644 pynxtools/dataconverter/readers/em_om/utils/dream3d_v65163_color_keys/Trigonal_Low.png
 delete mode 100644 pynxtools/dataconverter/readers/em_om/utils/dream3d_v65163_color_keys/trigonal_HIgh.png
 delete mode 100644 pynxtools/dataconverter/readers/em_om/utils/em_nexus_plots.py
 delete mode 100644 pynxtools/dataconverter/readers/em_om/utils/euler_angle_convention.py
 delete mode 100644 pynxtools/dataconverter/readers/em_om/utils/generic_eln_io.py
 delete mode 100644 pynxtools/dataconverter/readers/em_om/utils/handed_cartesian.py
 delete mode 100644 pynxtools/dataconverter/readers/em_om/utils/image_transform.py
 delete mode 100644 pynxtools/dataconverter/readers/em_om/utils/msmse_convention.py
 delete mode 100644 pynxtools/dataconverter/readers/em_om/utils/mtex_ebsd_parser.py
 delete mode 100644 pynxtools/dataconverter/readers/em_om/utils/orix_ebsd_parser.py
 delete mode 100644 pynxtools/dataconverter/readers/em_om/utils/use_case_selector.py
 delete mode 100644 pynxtools/dataconverter/readers/em_om/utils/versioning.py
 delete mode 100644 pynxtools/dataconverter/readers/em_om/utils/zip_ebsd_parser.py
 delete mode 100644 pynxtools/dataconverter/readers/em_spctrscpy/README.md
 delete mode 100644 pynxtools/dataconverter/readers/em_spctrscpy/__init__.py
 delete mode 100644 pynxtools/dataconverter/readers/em_spctrscpy/reader.py
 delete mode 100644 pynxtools/dataconverter/readers/em_spctrscpy/utils/__init__.py
 delete mode 100644 pynxtools/dataconverter/readers/em_spctrscpy/utils/em_event_data.py
 delete mode 100644 pynxtools/dataconverter/readers/em_spctrscpy/utils/em_example_data.py
 delete mode 100644 pynxtools/dataconverter/readers/em_spctrscpy/utils/em_generic_eln_io.py
 delete mode 100644 pynxtools/dataconverter/readers/em_spctrscpy/utils/em_nexus_base_classes.py
 delete mode 100644 pynxtools/dataconverter/readers/em_spctrscpy/utils/em_nexus_plots.py
 delete mode 100644 pynxtools/dataconverter/readers/em_spctrscpy/utils/em_use_case_selector.py
 delete mode 100644 pynxtools/dataconverter/readers/em_spctrscpy/utils/em_versioning.py
 delete mode 100644 pynxtools/dataconverter/readers/em_spctrscpy/utils/hspy/em_hspy_adf.py
 delete mode 100644 pynxtools/dataconverter/readers/em_spctrscpy/utils/hspy/em_hspy_comments.py
 delete mode 100644 pynxtools/dataconverter/readers/em_spctrscpy/utils/hspy/em_hspy_eels.py
 delete mode 100644 pynxtools/dataconverter/readers/em_spctrscpy/utils/hspy/em_hspy_xray.py
 delete mode 100644 pynxtools/dataconverter/readers/em_spctrscpy/utils/oina/em_oina_xray.py
 delete mode 100644 tests/data/dataconverter/readers/em_nion/README.md
 delete mode 100644 tests/data/dataconverter/readers/em_nion/nomad_oasis_eln_schema_for_nx_em/nxem.schema.archive.yaml
 delete mode 100644 tests/data/dataconverter/readers/em_om/README.md
 delete mode 100644 tests/data/dataconverter/readers/em_om/nomad_oasis_eln_schema_for_nx_em_ebsd/nxem_ebsd.schema.archive.yaml
 delete mode 100644 tests/data/dataconverter/readers/em_spctrscpy/README.md
 delete mode 100644 tests/data/dataconverter/readers/em_spctrscpy/nomad_oasis_eln_schema_for_nx_em/nxem.schema.archive.yaml

diff --git a/dev-requirements.txt b/dev-requirements.txt
index b101a3ae8..485b31252 100644
--- a/dev-requirements.txt
+++ b/dev-requirements.txt
@@ -4,18 +4,10 @@
 #
 #    pip-compile --extra=dev --extra=docs --output-file=dev-requirements.txt pyproject.toml
 #
-asciitree==0.3.3
-    # via zarr
 ase==3.22.1
     # via pynxtools (pyproject.toml)
-asteval==0.9.31
-    # via lmfit
-asttokens==2.4.1
-    # via stack-data
 babel==2.14.0
     # via mkdocs-material
-backcall==0.2.0
-    # via ipython
 build==1.0.3
     # via pip-tools
 certifi==2023.11.17
@@ -27,18 +19,13 @@ charset-normalizer==3.3.2
 click==8.1.7
     # via
     #   click-default-group
-    #   dask
     #   mkdocs
     #   pip-tools
     #   pynxtools (pyproject.toml)
 click-default-group==1.2.4
     # via pynxtools (pyproject.toml)
-cloudpickle==3.0.0
-    # via dask
 colorama==0.4.6
     # via mkdocs-material
-comm==0.2.0
-    # via ipykernel
 contourpy==1.1.1
     # via matplotlib
 coverage[toml]==7.3.2
@@ -47,56 +34,16 @@ coverage[toml]==7.3.2
     #   pytest-cov
 cycler==0.12.1
     # via matplotlib
-dask[array]==2023.5.0
-    # via
-    #   dask
-    #   hyperspy
-    #   kikuchipy
-    #   orix
-    #   pyxem
-debugpy==1.8.0
-    # via ipykernel
-decorator==5.1.1
-    # via
-    #   ipyparallel
-    #   ipython
-diffpy-structure==3.1.0
-    # via
-    #   diffsims
-    #   kikuchipy
-    #   orix
-diffsims==0.5.2
-    # via
-    #   kikuchipy
-    #   pyxem
-dill==0.3.7
-    # via hyperspy
 distlib==0.3.7
     # via virtualenv
-entrypoints==0.4
-    # via ipyparallel
 exceptiongroup==1.2.0
     # via pytest
-executing==2.0.1
-    # via stack-data
-fabio==2023.10.0
-    # via
-    #   pyfai
-    #   silx
-fasteners==0.19
-    # via zarr
 filelock==3.13.1
     # via virtualenv
 flatdict==4.0.1
     # via pynxtools (pyproject.toml)
 fonttools==4.45.1
     # via matplotlib
-fsspec==2023.10.0
-    # via
-    #   dask
-    #   hyperspy
-future==0.18.3
-    # via uncertainties
 ghp-import==2.1.0
     # via mkdocs
 gitdb==4.0.11
@@ -104,84 +51,22 @@ gitdb==4.0.11
 gitpython==3.1.40
     # via pynxtools (pyproject.toml)
 h5py==3.10.0
-    # via
-    #   fabio
-    #   hdf5plugin
-    #   hyperspy
-    #   kikuchipy
-    #   nionswift
-    #   orix
-    #   pyfai
-    #   pynxtools (pyproject.toml)
-    #   pyxem
-    #   silx
-hdf5plugin==4.3.0
-    # via fabio
-hyperspy==1.7.6
-    # via
-    #   kikuchipy
-    #   pynxtools (pyproject.toml)
-    #   pyxem
+    # via pynxtools (pyproject.toml)
 identify==2.5.33
     # via pre-commit
 idna==3.6
     # via requests
-imageio==2.27.0
-    # via
-    #   hyperspy
-    #   kikuchipy
-    #   nionswift
-    #   nionswift-io
-    #   nionui
-    #   scikit-image
 importlib-metadata==6.8.0
-    # via
-    #   dask
-    #   hyperspy
-    #   pynxtools (pyproject.toml)
+    # via pynxtools (pyproject.toml)
 iniconfig==2.0.0
     # via pytest
-ipykernel==6.27.1
-    # via ipyparallel
-ipyparallel==8.6.1
-    # via hyperspy
-ipython==8.12.3
-    # via
-    #   hyperspy
-    #   ipykernel
-    #   ipyparallel
-jedi==0.19.1
-    # via ipython
 jinja2==3.1.2
     # via
-    #   hyperspy
     #   mkdocs
     #   mkdocs-macros-plugin
     #   mkdocs-material
-joblib==1.3.2
-    # via scikit-learn
-jupyter-client==8.6.0
-    # via
-    #   ipykernel
-    #   ipyparallel
-jupyter-core==5.5.0
-    # via
-    #   ipykernel
-    #   jupyter-client
-kikuchipy==0.9.0
-    # via pynxtools (pyproject.toml)
 kiwisolver==1.4.5
     # via matplotlib
-lazy-loader==0.3
-    # via scikit-image
-llvmlite==0.41.1
-    # via numba
-lmfit==1.2.2
-    # via pyxem
-locket==1.0.0
-    # via partd
-lxml==4.9.3
-    # via fabio
 markdown==3.5.2
     # via
     #   mkdocs
@@ -192,21 +77,7 @@ markupsafe==2.1.3
     #   jinja2
     #   mkdocs
 matplotlib==3.7.4
-    # via
-    #   ase
-    #   diffsims
-    #   hyperspy
-    #   kikuchipy
-    #   matplotlib-scalebar
-    #   orix
-    #   pyfai
-    #   pyxem
-matplotlib-inline==0.1.6
-    # via
-    #   ipykernel
-    #   ipython
-matplotlib-scalebar==0.8.1
-    # via orix
+    # via ase
 mergedeep==1.3.4
     # via
     #   mkdocs
@@ -224,105 +95,28 @@ mkdocs-material-extensions==1.3.1
     # via
     #   mkdocs-material
     #   pynxtools (pyproject.toml)
-mpmath==1.3.0
-    # via sympy
 mypy==1.7.1
     # via pynxtools (pyproject.toml)
 mypy-extensions==1.0.0
     # via mypy
-natsort==8.4.0
-    # via hyperspy
-nest-asyncio==1.5.8
-    # via ipykernel
-networkx==3.1
-    # via scikit-image
-niondata==0.15.3
-    # via
-    #   nionswift
-    #   nionswift-io
-nionswift==0.16.8
-    # via pynxtools (pyproject.toml)
-nionswift-io==0.15.1
-    # via nionswift
-nionui==0.6.10
-    # via nionswift
-nionutils==0.4.6
-    # via
-    #   niondata
-    #   nionswift
-    #   nionswift-io
-    #   nionui
 nodeenv==1.8.0
     # via pre-commit
-numba==0.58.1
-    # via
-    #   diffsims
-    #   hyperspy
-    #   kikuchipy
-    #   orix
-    #   pyxem
-    #   sparse
-numcodecs==0.12.1
-    # via zarr
-numexpr==2.8.5
-    # via
-    #   hyperspy
-    #   pyfai
-    #   pyxem
 numpy==1.24.4
     # via
     #   ase
     #   contourpy
-    #   dask
-    #   diffsims
-    #   fabio
     #   h5py
-    #   hyperspy
-    #   imageio
-    #   kikuchipy
-    #   lmfit
     #   matplotlib
-    #   niondata
-    #   nionswift
-    #   nionswift-io
-    #   nionui
-    #   numba
-    #   numcodecs
-    #   numexpr
-    #   numpy-quaternion
-    #   orix
     #   pandas
-    #   pycifrw
-    #   pyfai
     #   pynxtools (pyproject.toml)
-    #   pywavelets
-    #   pyxem
-    #   scikit-image
-    #   scikit-learn
     #   scipy
-    #   silx
-    #   sparse
-    #   tifffile
     #   xarray
-    #   zarr
-numpy-quaternion==2022.4.3
-    # via orix
-orix==0.11.1
-    # via
-    #   diffsims
-    #   kikuchipy
-    #   pyxem
 packaging==23.2
     # via
     #   build
-    #   dask
-    #   hyperspy
-    #   ipykernel
     #   matplotlib
     #   mkdocs
-    #   pooch
     #   pytest
-    #   scikit-image
     #   xarray
 paginate==0.5.6
     # via mkdocs-material
@@ -330,66 +124,22 @@ pandas==2.0.3
     # via
     #   pynxtools (pyproject.toml)
     #   xarray
-parso==0.8.3
-    # via jedi
-partd==1.4.1
-    # via dask
 pathspec==0.12.1
     # via mkdocs
-pexpect==4.9.0
-    # via ipython
-pickleshare==0.7.5
-    # via ipython
 pillow==10.0.1
-    # via
-    #   fabio
-    #   hyperspy
-    #   imageio
-    #   matplotlib
-    #   nionswift
-    #   scikit-image
-pint==0.21.1
-    # via hyperspy
+    # via matplotlib
 pip-tools==7.3.0
     # via pynxtools (pyproject.toml)
 platformdirs==4.0.0
     # via
-    #   jupyter-core
     #   mkdocs
-    #   pooch
     #   virtualenv
 pluggy==1.3.0
     # via pytest
-ply==3.11
-    # via pycifrw
-pooch==1.8.0
-    # via
-    #   kikuchipy
-    #   orix
 pre-commit==3.5.0
     # via pynxtools (pyproject.toml)
-prettytable==3.9.0
-    # via hyperspy
-prompt-toolkit==3.0.41
-    # via ipython
-psutil==5.9.6
-    # via
-    #   diffsims
-    #   ipykernel
-    #   ipyparallel
-    #   pyxem
-ptyprocess==0.7.0
-    # via pexpect
-pure-eval==0.2.2
-    # via stack-data
-pycifrw==4.4.6
-    # via diffpy-structure
-pyfai==2023.9.0
-    # via pyxem
 pygments==2.17.2
-    # via
-    #   ipython
-    #   mkdocs-material
+    # via mkdocs-material
 pymdown-extensions==10.7
     # via mkdocs-material
 pyparsing==3.1.1
@@ -408,28 +158,17 @@ pytest-timeout==2.2.0
 python-dateutil==2.8.2
     # via
     #   ghp-import
-    #   hyperspy
-    #   ipyparallel
-    #   jupyter-client
     #   matplotlib
     #   mkdocs-macros-plugin
     #   pandas
 pytz==2023.3.post1
     # via
-    #   nionswift
     #   pandas
     #   pynxtools (pyproject.toml)
 pytz-deprecation-shim==0.1.0.post0
     # via tzlocal
-pywavelets==1.4.1
-    # via scikit-image
-pyxem==0.16.0
-    # via pynxtools (pyproject.toml)
 pyyaml==6.0.1
     # via
-    #   dask
-    #   hyperspy
-    #   kikuchipy
     #   mkdocs
     #   mkdocs-macros-plugin
     #   pre-commit
@@ -438,70 +177,24 @@ pyyaml==6.0.1
     #   pyyaml-env-tag
 pyyaml-env-tag==0.1
     # via mkdocs
-pyzmq==25.1.1
-    # via
-    #   ipykernel
-    #   ipyparallel
-    #   jupyter-client
 regex==2023.12.25
     # via mkdocs-material
 requests==2.31.0
-    # via
-    #   hyperspy
-    #   mkdocs-material
-    #   pooch
+    # via mkdocs-material
 ruff==0.1.7
     # via pynxtools (pyproject.toml)
-scikit-image==0.20.0
-    # via
-    #   hyperspy
-    #   kikuchipy
-    #   pyxem
-scikit-learn==1.3.2
-    # via
-    #   kikuchipy
-    #   pyxem
 scipy==1.9.1
     # via
     #   ase
-    #   diffsims
-    #   hyperspy
-    #   kikuchipy
-    #   lmfit
-    #   niondata
-    #   nionswift
-    #   orix
-    #   pyfai
     #   pynxtools (pyproject.toml)
-    #   pyxem
-    #   scikit-image
-    #   scikit-learn
-    #   sparse
-silx==1.1.2
-    # via pyfai
 six==1.16.0
-    # via
-    #   asttokens
-    #   diffpy-structure
-    #   python-dateutil
+    # via python-dateutil
 smmap==5.0.1
     # via gitdb
-sparse==0.14.0
-    # via hyperspy
-stack-data==0.6.3
-    # via ipython
 structlog==23.2.0
     # via pynxtools (pyproject.toml)
-sympy==1.12
-    # via hyperspy
 termcolor==2.4.0
     # via mkdocs-macros-plugin
-threadpoolctl==3.2.0
-    # via scikit-learn
-tifffile==2023.7.10
-    # via
-    #   hyperspy
-    #   scikit-image
 tomli==2.0.1
     # via
     #   build
@@ -510,41 +203,6 @@ tomli==2.0.1
     #   pip-tools
     #   pyproject-hooks
     #   pytest
-toolz==0.12.0
-    # via
-    #   dask
-    #   hyperspy
-    #   partd
-tornado==6.3.3
-    # via
-    #   ipykernel
-    #   ipyparallel
-    #   jupyter-client
-tqdm==4.66.1
-    # via
-    #   diffsims
-    #   hyperspy
-    #   ipyparallel
-    #   kikuchipy
-    #   orix
-    #   pyxem
-traitlets==5.14.0
-    # via
-    #   comm
-    #   ipykernel
-    #   ipyparallel
-    #   ipython
-    #   jupyter-client
-    #   jupyter-core
-    #   matplotlib-inline
-traits==6.4.3
-    # via
-    #   hyperspy
-    #   pyxem
-transforms3d==0.4.1
-    # via
-    #   diffsims
-    #   pyxem
 types-pytz==2023.3.1.1
     # via pynxtools (pyproject.toml)
 types-pyyaml==6.0.12.12
@@ -558,11 +216,7 @@ tzdata==2023.3
     #   pandas
     #   pytz-deprecation-shim
 tzlocal==4.3
-    # via
-    #   nionswift
-    #   pynxtools (pyproject.toml)
-uncertainties==3.1.7
-    # via lmfit
+    # via pynxtools (pyproject.toml)
 urllib3==2.1.0
     # via
     #   requests
@@ -571,16 +225,10 @@ virtualenv==20.25.0
     # via pre-commit
 watchdog==4.0.0
     # via mkdocs
-wcwidth==0.2.12
-    # via
-    #   prettytable
-    #   prompt-toolkit
 wheel==0.42.0
     # via pip-tools
 xarray==2023.1.0
     # via pynxtools (pyproject.toml)
-zarr==2.16.1
-    # via hyperspy
 zipfile37==0.1.3
     # via pynxtools (pyproject.toml)
 zipp==3.17.0
diff --git a/examples/em_nion/README.md b/examples/em_nion/README.md
deleted file mode 100644
index 324fd50c8..000000000
--- a/examples/em_nion/README.md
+++ /dev/null
@@ -1,24 +0,0 @@
-## em_nion reader
-
-This is an example how the em_nion parser/reader/data extractor can be used as a standalone
-tool to convert data and metadata from a compressed nionswift project into an NXem-formatted
-NeXus/HDF5 file. Further details to the functionalities of the parser are documented
-in the parsers sub-directory:
-
-```
-pynxtools/pynxtools/dataconverter/readers/em_nion
-```
-
-**Write.NXem_nion.Example.1.ipynb** is the Jupyter notebook which exemplies
-how the parser can be used as a standalone version, i.e. without NOMAD.
-
-**eln_data_em_nion.yaml** is a YAML/text file which contains relevant data which are not
-contained typically in files from technology partners. These data have been collected
-either by editing the file manually or by using an electronic lab notebook (ELN),
-such as the NOMAD ELN.
-A few example files from real atom probe reconstructions and ranging definitions are
-offered as downloads to run the example with the above-mentioned Juypter notebook.
-
-Every other ELN can be used with this parser provided that this ELN writes its data
-into a YAML file with the same keywords and structure as is exemplified in the
-above-mentioned YAML file.
\ No newline at end of file
diff --git a/examples/em_nion/Write.NXem_nion.Example.1.ipynb b/examples/em_nion/Write.NXem_nion.Example.1.ipynb
deleted file mode 100644
index 708a2e420..000000000
--- a/examples/em_nion/Write.NXem_nion.Example.1.ipynb
+++ /dev/null
@@ -1,287 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Using dataconverter/em_nion for mapping content of a nionswift project to NeXus/HDF5/NXem"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "### **Step 1:** Check that packages are installed and working in your local Python environment."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Check the result of the query below specifically that `jupyterlab_h5web` and `pynxtools` are installed in your environment.<br>\n",
-    "Note that next to the name pynxtools you should see the directory in which it is installed. Otherwise, make sure that you follow<br>\n",
-    "the instructions in the `README` files:  \n",
-    "- How to set up a development environment as in the main README  \n",
-    "- Lauch the jupyter lab from this environement as in the README of folder `examples`"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "! pip list | grep \"h5py\\|nexus\\|jupyter\" && jupyter serverextension list && jupyter labextension list && python -V"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Set the pynxtools directory and start H5Web for interactive exploring of HDF5 files."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import os\n",
-    "from jupyterlab_h5web import H5Web\n",
-    "print(f\"Current working directory: {os.getcwd()}\")\n",
-    "print(f\"So-called base, home, or root directory of the pynxtools: {os.getcwd().replace('/examples/em_nion', '')}\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### **Step 2:** Download Nionswift-specific example data or try out with one of your own datasets."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "Example data can be found on Zenodo http://dx.doi.org/10.5281/zenodo.7986279."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "import zipfile as zp"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "! wget https://www.zenodo.org/record/7986279/files/ger_berlin_haas_nionswift_multimodal.zip"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "zp.ZipFile(\"ger_berlin_haas_nionswift_multimodal.zip\").extractall(path=\"\", members=None, pwd=None)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "These files should serve exclusively as examples. <font color=\"orange\">The dataconverter em_nion for nionswift project always requires a pair of files</font>:\n",
-    "* A **YAML file with metadata** (either edited manually/or generated via an ELN).<br>\n",
-    "  The eln_data_apm.yaml file in the example can be edited with a text editor.<br>\n",
-    "* A **compressed zip.nionswift file** with the mime type/file name ending \\*.nionswift suffix.<br>\n",
-    "  This includes the *.nsproj file and a directory or directory nest with *.ndata and *.h5 files<br>\n",
-    "  which were generated from nionswift.<br>"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<div class=\"alert alert-block alert-info\">\n",
-    "For GUI-based editing, a NOMAD OASIS instance is needed.<br>\n",
-    "</div>"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<div class=\"alert alert-block alert-danger\">\n",
-    "Please note that the metadata inside the provided eln_data_em_nion.yaml file contains example values.<br>\n",
-    "These reflect not necessarily the conditions when the raw data for the example were collected!<br>\n",
-    "The file is meant to be edited by you if you work with datasets others than the here provided!<br>\n",
-    "</div>"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "### **Step 3:** Run the nionswift-specific dataconverter on the example data."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now we run our parser. The --reader flag takes the em_nion reader (em_nion), the --nxdl flag takes the application definition for this technique which is currently NXem.<br> "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### **Step 3a:** Optionally see the command line help of the dataconverter."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "! dataconverter --help"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### **Step 3b:** Optionally explore all paths which NXapm provides."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "# to inspect what can/should all be in the NeXus file\n",
-    "! dataconverter --nxdl NXem --generate-template"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### **Step 3c**: Convert the files in the example into an NXapm-compliant NeXus/HDF5 file."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "#parser-nexus/tests/data/tools/dataconverter/readers/em_om/\n",
-    "eln_data_file_name = [\"eln_data_em_nion.yaml\"]\n",
-    "swift_proj_file_name = [\"2022-02-18_Metadata_Kuehbach.zip.nionswift\"]\n",
-    "output_file_name = [\"nion.case1.nxs\"]\n",
-    "for case_id in [0]:\n",
-    "    ELN = eln_data_file_name[0]\n",
-    "    SWIFT = swift_proj_file_name[case_id]\n",
-    "    OUTPUT = output_file_name[case_id]\n",
-    "\n",
-    "    ! dataconverter --reader em_nion --nxdl NXem $ELN $SWIFT --output $OUTPUT"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The key take home message is that the command above-specified triggers the automatic creation of the HDF5 file. This *.nxs file, is an HDF5 file."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "### **Step 4:** Inspect the NeXus/HDF5 file using H5Web."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# H5Web(OUTPUT)\n",
-    "H5Web(\"nion.case1.nxs\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "You can also visualize the .nxs file by double clicking on it in the file explorer panel to the left side of your jupyter lab screen in the browser."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Contact person for the em_nion reader and related examples in FAIRmat:\n",
-    "Markus Kühbach, 2023/08/31<br>\n",
-    "\n",
-    "### Funding\n",
-    "<a href=\"https://www.fairmat-nfdi.eu/fairmat\">FAIRmat</a> is a consortium on research data management which is part of the German NFDI.<br>\n",
-    "The project is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – project 460197019."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.10.12"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/examples/em_nion/eln_data_em_nion.yaml b/examples/em_nion/eln_data_em_nion.yaml
deleted file mode 100644
index 455816c26..000000000
--- a/examples/em_nion/eln_data_em_nion.yaml
+++ /dev/null
@@ -1,63 +0,0 @@
-em_lab:
-  detector:
-  - local_name: Should better be inferred in the future from a Nion microscope instance description instead of having to add it every time manually.
-  ebeam_column:
-    aberration_correction:
-      applied: true
-    aperture_em:
-    - name: C1
-      value: 4
-    electron_source:
-      emitter_type: field_emission
-      voltage:
-        unit: V
-        value: 200000
-  fabrication:
-    capabilities: '---'
-    identifier: ChristophKochGroupsNionMicroscope
-    model: NionHermes200
-    vendor: Nion Co.
-  instrument_name: Nion Hermes 200kV
-  location: Berlin
-  optical_system_em:
-    beam_current:
-      unit: A
-      value: 1.2e-11
-    beam_current_description: estimated
-    magnification: 610000
-    semi_convergence_angle:
-      unit: rad
-      value: 0.2
-  stage_lab:
-    description: double tilt
-    name: nothing
-entry:
-  attr_version: nexus-fairmat-proposal successor of 9636feecb79bb32b828b1a9804269573256d7696
-  definition: NXem
-  end_time: '2023-05-25T14:44:00+01:00'
-  experiment_description: BenediktHaas_MultiModal_ImagingMode_TestDataSet
-  experiment_identifier: 2022-04-18-BenediktHaas
-  program: nionswift
-  program__attr_version: 0.16.8, this is what Markus used for implementing the nionswift project file reader but was it also the version used by Benedikt?
-  start_time: '2023-05-25T14:44:00+01:00'
-sample:
-  atom_types:
-  - Cu
-  description: test
-  method: experiment
-  name: Cu
-  preparation_date: '2023-05-25T14:44:00+01:00'
-  sample_history: unknown
-  short_title: Cu
-  thickness:
-    unit: m
-    value: 2.0e-08
-user:
-- name: MarkusK
-  orcid: '0000'
-- email: '----'
-  name: Benedikt
-- name: Sherjeel
-  affiliation: HU Berlin
-- name: Christoph
-  role: B1 task leader
diff --git a/examples/em_om/README.md b/examples/em_om/README.md
deleted file mode 100644
index eb665bf93..000000000
--- a/examples/em_om/README.md
+++ /dev/null
@@ -1,37 +0,0 @@
-## em_om reader
-
-This is an example how the em_om parser/reader/data extractor can be used as a
-standalone tool to convert data and metadata from different sources into an
-NXem_ebsd-formatted NeXus/HDF5 file. Further details to the functionalities of the
-parser are documented in the parsers sub-directory:
-
-```
-pynxtools/pynxtools/dataconverter/readers/em_om
-```
-
-**Write.NXem_ebsd.Example.1.ipynb** is the Jupyter notebook which exemplies
-how the parser can be used as a standalone version, i.e. without NOMAD.
-
-**eln_data_em_om.yaml** is a YAML/text file which contains relevant data which are not
-contained typically in files from technology partners. These data have been collected
-either by editing the file manually or by using an electronic lab notebook (ELN),
-such as the NOMAD ELN.
-A few example files from real electron backscatter diffraction measurements are
-offered as downloads to run the example with the above-mentioned Juypter notebook.
-
-Every other ELN can be used with this parser provided that this ELN writes its data
-into a YAML file with the same keywords and structure as is exemplified in the
-above-mentioned YAML file.
-
-### Map data from Matlab/MTex to NXem_ebsd
-The download material includes several \*.mtex files. These reflect that the
-em_om parser can handle data which have been generated with the Matlab/MTex
-texture tool box. These \*.mtex files are currently an exchange file format
-to map data from the MTex internal representation to something which the em_om
-parser understands and can map to NXem_ebsd. You are very much invited to test this
-feature. The feature requires, though, a specific extension of the MTex toolbox,
-which is an MTex/Matlab script surplus a wrapper for the HDF5 library to enable
-writing HDF5 files with more flexible data structures and attributes.
-We tested this extension with Matlab>=2021 and MTex>=5.8.2.
-Please contact Markus Kühbach directly if you are interested in testing this feature
-and contribute thereby to make EBSD data more interoperable.
\ No newline at end of file
diff --git a/examples/em_om/Write.NXem_ebsd.Example.1.ipynb b/examples/em_om/Write.NXem_ebsd.Example.1.ipynb
deleted file mode 100644
index 6e948a942..000000000
--- a/examples/em_om/Write.NXem_ebsd.Example.1.ipynb
+++ /dev/null
@@ -1,377 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Using dataconverter/em_om for mapping EBSD/Orientation Microscopy to NeXus/HDF5/NXem_ebsd"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "### **Step 1:** Check that packages are installed and working in your local Python environment."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Check the result of the query below specifically that `jupyterlab_h5web` and `pynxtools` are installed in your environment.<br>\n",
-    "Note that next to the name pynxtools you should see the directory in which it is installed. Otherwise, make sure that you follow<br>\n",
-    "the instructions in the `README` files:  \n",
-    "- How to set up a development environment as in the main README  \n",
-    "- Lauch the jupyter lab from this environement as in the README of folder `examples`"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "! pip list | grep \"h5py\\|nexus\\|jupyter\" && jupyter serverextension list && jupyter labextension list && python -V"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Set the pynxtools directory and start H5Web for interactive exploring of HDF5 files."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import os\n",
-    "from jupyterlab_h5web import H5Web\n",
-    "print(f\"Current working directory: {os.getcwd()}\")\n",
-    "print(f\"So-called base, home, or root directory of the pynxtools: {os.getcwd().replace('/examples/em_om', '')}\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### **Step 2:** Download EM-OM-specific example data or use your own datasets."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "Example data can be found on Zenodo https://dx.doi.org/10.5281/zenodo.7885531."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import zipfile as zp"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "! curl --output em_om_sprint14_01.zip https://zenodo.org/record/7885531/files/em_om_sprint14_01.zip\n",
-    "! curl --output em_om_sprint14_02.zip https://zenodo.org/record/7885531/files/em_om_sprint14_02.zip"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "zp.ZipFile(\"em_om_sprint14_01.zip\").extractall(path=\"\", members=None, pwd=None)\n",
-    "zp.ZipFile(\"em_om_sprint14_02.zip\").extractall(path=\"\", members=None, pwd=None)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "These files should serve exclusively as examples. <font color=\"orange\">The dataconverter for EM-OM always requires at least one file</font>:\n",
-    "\n",
-    "**When you only would like to store conventions**:<br>\n",
-    "* **YAML file with metadata** (either edited manually or via an ELN).<br>\n",
-    "  The eln_data_em_om.yaml file in the example can be edited with a text editor.\n",
-    "\n",
-    "**When you would like to store conventions surplus stack of simulated Kikuchi images**:<br>\n",
-    "* **YAML file with metadata**<br>\n",
-    "* **ZIP archive with images all using the same format, rectangular dimensions, and file type**<br>\n",
-    "\n",
-    "**When you would like to store conventions surplus H5OINA EBSD mapping**:<br>\n",
-    "* **YAML file with metadata**<br>\n",
-    "* **H5OINA file as obtained from Oxford Instrument AZTec (>=5.0)**<br>\n",
-    "\n",
-    "**When you would like to store conventions surplus have transcoded EBSD results from MTex**:<br>\n",
-    "* **YAML file with metadata**<br>\n",
-    "* **\\*.mtex file as obtained by running the specific MTex to NeXus transcoder** (see second info box below for details)<br>"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<div class=\"alert alert-block alert-info\">\n",
-    "For GUI-based editing, a NOMAD OASIS instance is needed.<br>\n",
-    "</div>"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<div class=\"alert alert-block alert-danger\">\n",
-    "Please note that the metadata inside the provided eln_data_em_om.yaml file are example values.<br>\n",
-    "These reflect not necessarily the conditions when the raw data for the example were collected!<br>\n",
-    "The file is meant to be edited by you if you work with datasets others than the here provided!<br>\n",
-    "</div>"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<div class=\"alert alert-block alert-info\">\n",
-    "Feel free to contact the maintainer of this example to learn more about the parsing capabilities of SEM/EBSD data in NOMAD.<br>\n",
-    "We have also a draft version which supports importing results from MatLab/MTex and DREAM.3D. We would like to get in contact<br>\n",
-    "to document and develop these further, ideally using as diverse examples as possible, maybe also including one of your examples?<br>\n",
-    "</div>"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "### **Step 3:** Run the EBSD-specific dataconverter on the example data."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now we run our parser. The --reader flag takes the em_om reader, the --nxdl flag takes the application definition for this technique NXem_ebsd."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### **Step 3a:** Optionally see the command line help of the dataconverter."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "! dataconverter --help"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### **Step 3b:** Optionally explore all paths which NXem provides."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "! dataconverter --nxdl NXem_ebsd --reader em_om --generate-template"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### **Step 3c**: Convert the files in the example into an NXem_ebsd-compliant NeXus/HDF5 file."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<div class=\"alert alert-block alert-info\">\n",
-    "In what follows we will show several of the examples that have been implemented for SEM/EBSD.<br>\n",
-    "</div>"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "#### Only conventions:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "# parser-nexus/tests/data/tools/dataconverter/readers/em/\n",
-    "output_file_name = [\"em_om.case0.nxs\"]\n",
-    "! dataconverter \\\n",
-    "--reader em_om \\\n",
-    "--nxdl NXem_ebsd \\\n",
-    "eln_data_em_om.yaml \\\n",
-    "--output \"em_om.case0.nxs\""
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "#### Conventions and different data sources:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "scrolled": true,
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "#parser-nexus/tests/data/tools/dataconverter/readers/em_om/\n",
-    "import numpy as np\n",
-    "eln_data_file_name = [\"eln_data_em_om.yaml\"]\n",
-    "input_data_file_name = [\"PrcShanghaiShi.EBSPs70deg.zip\",\n",
-    "                        \"H5OINA_examples_Specimen_1_Map_EDS_+_EBSD_Map_Data_2.h5oina\",\n",
-    "                        \"Forsterite.ctf.mtex\",\n",
-    "                        \"SmallIN100_Final.dream3d\"]\n",
-    "output_file_name = [\"em_om.case1.nxs\",\n",
-    "                    \"em_om.case2.nxs\",\n",
-    "                    \"em_om.case3e.nxs\",\n",
-    "                    \"em_om.case4.nxs\"]\n",
-    "for case_id in np.arange(0, 3 + 1):\n",
-    "    ELN = eln_data_file_name[0]\n",
-    "    INPUT = input_data_file_name[case_id]\n",
-    "    OUTPUT = output_file_name[case_id]\n",
-    "\n",
-    "    ! dataconverter --reader em_om --nxdl NXem_ebsd $ELN $INPUT --output $OUTPUT"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The key take home message is that the command above-specified triggers the automatic creation of the HDF5 file. This *.nxs file, is an HDF5 file."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "### **Step 4:** Inspect the HDF5/NeXus file using H5Web"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# H5Web(OUTPUT)\n",
-    "H5Web(\"em_om.case0.nxs\")\n",
-    "# H5Web(\"em_om.case1.nxs\")\n",
-    "# H5Web(\"em_om.case2.nxs\")\n",
-    "# H5Web(\"em_om.case3e.nxs\")\n",
-    "# H5Web(\"em_om.case4.nxs\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Here is where the general template ends. Continue with filling in the notebook with your own post-processing of this *.nxs file."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "***"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Contact person for this example in FAIRmat:\n",
-    "Markus Kühbach"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Contact person for the apm reader and related examples in FAIRmat:\n",
-    "Markus Kühbach, 2023/08/31<br>\n",
-    "\n",
-    "### Funding\n",
-    "<a href=\"https://www.fairmat-nfdi.eu/fairmat\">FAIRmat</a> is a consortium on research data management which is part of the German NFDI.<br>\n",
-    "The project is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – project 460197019."
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.10.12"
-  },
-  "vscode": {
-   "interpreter": {
-    "hash": "fb9c1bd38c7663f011bf442e740f4844d912585f80182885cfafffa0a1ff37a6"
-   }
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/examples/em_om/eln_data_em_om.yaml b/examples/em_om/eln_data_em_om.yaml
deleted file mode 100644
index 383d15d2a..000000000
--- a/examples/em_om/eln_data_em_om.yaml
+++ /dev/null
@@ -1,65 +0,0 @@
-entry:
-  attr_version: nexus-fairmat-proposal successor of 9636feecb79bb32b828b1a9804269573256d7696
-  definition: NXem_ebsd
-  workflow_identifier: test_id
-  workflow_description: test_description
-  start_time: 2023-02-04T14:43:00.000Z
-  end_time: 2023-02-04T14:43:00.000Z
-  program: nexusutils/dataconverter/readers/em_om.py
-  program__attr_version: undefined
-user:
-- name: Markus Kühbach
-commercial_on_the_fly_indexing:
-  program: TSL EDAX
-  program__attr_version: v6.0
-  results_file: test.ang
-  results_file__attr_version: n/a
-measurement:
-  origin: undefined
-  origin__attr_version: should be collected if possible automatically by parser or RDMS
-  path: undefined
-calibration:
-  origin: undefined
-  origin__attr_version: should be collected if possible automatically by parser or RDMS
-  path: undefined
-rotation_conventions:
-  three_dimensional_rotation_handedness: counter_clockwise
-  rotation_convention: passive
-  euler_angle_convention: zxz
-  axis_angle_convention: rotation_angle_on_interval_zero_to_pi
-  sign_convention: p_minus_one
-processing_reference_frame:
-  reference_frame_type: right_handed_cartesian
-  xaxis_direction: east
-  xaxis_alias: rolling direction (RD)
-  yaxis_direction: south
-  yaxis_alias: transverse direction (TD)
-  zaxis_direction: undefined
-  zaxis_alias: normal direction (ND)
-  origin: front_top_left
-sample_reference_frame:
-  reference_frame_type: right_handed_cartesian
-  xaxis_direction: east
-  yaxis_direction: south
-  zaxis_direction: undefined
-  origin: front_top_left
-detector_reference_frame:
-  reference_frame_type: right_handed_cartesian
-  xaxis_direction: east
-  yaxis_direction: south
-  zaxis_direction: undefined
-  origin: front_top_left
-gnomonic_projection:
-  gnomonic_projection_reference_frame:
-    reference_frame_type: right_handed_cartesian
-    xaxis_direction: east
-    yaxis_direction: south
-    zaxis_direction: undefined
-    origin: in_the_pattern_centre
-  pattern_centre:
-    xaxis_boundary_convention: top
-    xaxis_normalization_direction: east
-    yaxis_boundary_convention: top
-    yaxis_normalization_direction: south
-indexing:
-  method: hough_transform
diff --git a/examples/em_spctrscpy/README.md b/examples/em_spctrscpy/README.md
deleted file mode 100644
index 7b9a31cbd..000000000
--- a/examples/em_spctrscpy/README.md
+++ /dev/null
@@ -1,24 +0,0 @@
-## em_spctrscpy reader
-
-This is an example how the em_spctrscpy parser/reader/data extractor can be used as a
-standalone tool to convert data and metadata from different sources into an NXem-formatted
-NeXus/HDF5 file. Further details to the functionalities of the parser are documented
-in the parsers sub-directory:
-
-```
-pynxtools/pynxtools/dataconverter/readers/em_spctrscpy
-```
-
-**Write.NXem.Example.1.ipynb** is the Jupyter notebook which exemplies
-how the parser can be used as a standalone version, i.e. without NOMAD.
-
-**eln_data_em_spctrscpy.yaml** is a YAML/text file which contains relevant data which are not
-contained typically in files from technology partners. These data have been collected
-either by editing the file manually or by using an electronic lab notebook (ELN),
-such as the NOMAD ELN.
-A few example files from real electron microscopy measurements are offered as downloads
-to run the example with the above-mentioned Juypter notebook.
-
-Every other ELN can be used with this parser provided that this ELN writes its data
-into a YAML file with the same keywords and structure as is exemplified in the
-above-mentioned YAML file.
\ No newline at end of file
diff --git a/examples/em_spctrscpy/Write.NXem.Example.1.ipynb b/examples/em_spctrscpy/Write.NXem.Example.1.ipynb
deleted file mode 100644
index 0c50f173f..000000000
--- a/examples/em_spctrscpy/Write.NXem.Example.1.ipynb
+++ /dev/null
@@ -1,349 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Using dataconverter/em_spctrscpy for mapping EDX(S) and EELS spectroscopy as well as electron microscopy images to NeXus/HDF5/NXem"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "### **Step 1:** Check that packages are installed and working in your local Python environment."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Check the result of the query below specifically that `jupyterlab_h5web` and `pynxtools` are installed in your environment.<br>\n",
-    "Note that next to the name pynxtools you should see the directory in which it is installed. Otherwise, make sure that you follow<br>\n",
-    "the instructions in the `README` files:  \n",
-    "- How to set up a development environment as in the main README  \n",
-    "- Lauch the jupyter lab from this environement as in the README of folder `examples`"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "! pip list | grep \"h5py\\|nexus\\|jupyter\" && jupyter serverextension list && jupyter labextension list && python -V"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Set the pynxtools directory and start H5Web for interactive exploring of HDF5 files."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import os\n",
-    "from jupyterlab_h5web import H5Web\n",
-    "print(f\"Current working directory: {os.getcwd()}\")\n",
-    "print(f\"So-called base, home, or root directory of the pynxtools: {os.getcwd().replace('/examples/em_spctrscpy', '')}\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### **Step 2:** Download EM-SPCTRSCPY-specific example data or use your own dataset."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "Example data can be found on Zenodo https://zenodo.org/record/7908429."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "import zipfile as zp"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "! curl --output EM.Various.Datasets.1.zip https://zenodo.org/record/7908429/files/EM.Various.Datasets.1.zip"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "zp.ZipFile(\"EM.Various.Datasets.1.zip\").extractall(path=\"\", members=None, pwd=None)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "These files should serve exclusively as examples. <font color=\"orange\">The dataconverter for EM-SPCTRSCPY always requires a pair of files</font>:\n",
-    "* A **YAML file with metadata** (either edited manually or via an ELN).<br>\n",
-    "  The eln_data_em_spctrscpy.yaml file in the example can be edited with a text editor.<br>\n",
-    "* A **community or technology partner / vendor file** with the data from the microscope session.<br>\n",
-    "  Hyperspy is used for parsing, tests were performed for DM3, BCF, and Velox EMD files.<br>"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<div class=\"alert alert-block alert-info\">\n",
-    "For GUI-based editing, a NOMAD OASIS instance is needed.<br>\n",
-    "</div>"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<div class=\"alert alert-block alert-danger\">\n",
-    "Please note that the metadata inside the provided eln_data_em_spctrscpy.yaml file contains example values.<br>\n",
-    "These reflect not necessarily the conditions when the raw data for the example were collected!<br>\n",
-    "The file is meant to be edited by you if you work with datasets others than the here provided!<br>\n",
-    "</div>"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "### **Step 3:** Run the EM-spectroscopy-specific dataconverter on the example data."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now we run our parser. The --reader flag takes the em_spctrscpy reader, the --nxdl flag takes the application definition for this technique NXem.<br>"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### **Step 3a:** Optionally see the command line help of the dataconverter."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "! dataconverter --help"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### **Step 3b:** Optionally explore all paths which NXem provides."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "! dataconverter --nxdl NXem --reader em_spctrscpy --generate-template"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### **Step 3c**: Convert the files in the example into an NXem-compliant NeXus/HDF5 file."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "#parser-nexus/tests/data/tools/dataconverter/readers/em_spctrscpy/\n",
-    "eln_data_file_name = [\"eln_data_em_spctrscpy.yaml\"]\n",
-    "input_data_file_name = [\"46_ES-LP_L1_brg.bcf\",\n",
-    "                        \"1613_Si_HAADF_610_kx.emd\",\n",
-    "                        \"EELS_map_2_ROI_1_location_4.dm3\"]\n",
-    "output_file_name = [\"em_sp.case1.nxs\",\n",
-    "                    \"em_sp.case2.nxs\",\n",
-    "                    \"em_sp.case3.nxs\"]\n",
-    "for case_id in [0, 1, 2]:\n",
-    "    ELN = eln_data_file_name[0]\n",
-    "    INPUT = input_data_file_name[case_id]\n",
-    "    OUTPUT = output_file_name[case_id]\n",
-    "\n",
-    "    ! dataconverter --reader em_spctrscpy --nxdl NXem $ELN $INPUT --output $OUTPUT"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The key take home message is that the command above-specified triggers the automatic creation of the HDF5 file. This *.nxs file, is an HDF5 file."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "### **Step 4:** Inspect the NeXus/HDF5 file using H5Web"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# H5Web(OUTPUT)\n",
-    "H5Web(\"em_sp.case1.nxs\")\n",
-    "# H5Web(\"em_sp.case2.nxs\")\n",
-    "# H5Web(\"em_sp.case3.nxs\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### **Optional:** Generate synthetic data for testing and development purposes"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The apm reader has a functionality to generate synthetic dataset which are meant for pursuing code development."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "! dataconverter --reader em_spctrscpy --nxdl NXem synthesize1 --output em_sp.case0.nxs"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "H5Web(\"em_sp.case0.nxs\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Here is where the general template ends. Continue with filling in the notebook with your own post-processing of this *.nxs file."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "***"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Contact person for this example in FAIRmat:\n",
-    "Markus Kühbach"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Contact person for the apm reader and related examples in FAIRmat:\n",
-    "Markus Kühbach, 2023/08/31<br>\n",
-    "\n",
-    "### Funding\n",
-    "<a href=\"https://www.fairmat-nfdi.eu/fairmat\">FAIRmat</a> is a consortium on research data management which is part of the German NFDI.<br>\n",
-    "The project is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – project 460197019."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.10.12"
-  },
-  "vscode": {
-   "interpreter": {
-    "hash": "fb9c1bd38c7663f011bf442e740f4844d912585f80182885cfafffa0a1ff37a6"
-   }
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/examples/em_spctrscpy/eln_data_em_spctrscpy.yaml b/examples/em_spctrscpy/eln_data_em_spctrscpy.yaml
deleted file mode 100644
index 68d5d3730..000000000
--- a/examples/em_spctrscpy/eln_data_em_spctrscpy.yaml
+++ /dev/null
@@ -1,64 +0,0 @@
-em_lab:
-  detector:
-  - local_name: EDS detector
-  ebeam_column:
-    aperture_em:
-    - name: condensed
-      value: 4
-    aberration_correction:
-      applied: true
-    electron_source:
-      emitter_type: field_emission
-      # cold_cathode_
-      name: some
-      voltage:
-        unit: V
-        value: 200000
-  instrument_name: TALOS
-  location: EPFL
-  fabrication:
-    capabilities: many
-    identifier: undisclosed
-    model: unknown
-    vendor: TALOS
-  optical_system_em:
-    beam_current:
-      unit: A
-      value: 1.2e-11
-    beam_current_description: estimated
-    magnification: 610000
-    semi_convergence_angle:
-      unit: rad
-      value: 0.2
-  stage_lab:
-    description: nothing
-    name: double tilt
-entry:
-  attr_version: nexus-fairmat-proposal successor of 9636feecb79bb32b828b1a9804269573256d7696
-  definition: NXem
-  end_time: '2022-08-11T14:23:00+00:00'
-  experiment_description: '1613'
-  experiment_identifier: '1613'
-  program: Velox
-  program__attr_version: v6.8
-  start_time: '2022-08-03T14:23:00+00:00'
-sample:
-  atom_types:
-  - Al
-  - Nd
-  - O
-  description: test
-  method: experiment
-  name: 1613_Si
-  preparation_date: '2022-08-11T14:25:00+00:00'
-  sample_history: unknown
-  short_title: '1613'
-  thickness:
-    unit: m
-    value: 2.0e-08
-user:
-- name: MarkusK
-  orcid: '0000'
-  orcid_platform: orcid
-- email: '-----'
-  name: MarkusS
diff --git a/pynxtools/dataconverter/readers/em_nion/README.md b/pynxtools/dataconverter/readers/em_nion/README.md
deleted file mode 100644
index 648e1d919..000000000
--- a/pynxtools/dataconverter/readers/em_nion/README.md
+++ /dev/null
@@ -1,41 +0,0 @@
-# em_nion reader
-
-## Purpose
-Parse convertable content from data and metadata inside an nionswift project to NXem.
-
-## Input required
-* eln_data.yaml file, contextualizing information entered via ELN (user, sample)
-* *.nszip, rename *.zip file with the nionswift *.nsproj project file and its data objects
-  renamed from zip to nszip to avoid that it gets unpacked during the upload
-
-## Configuration files
-For nionswift most data objects are not necessarily linked to concepts available in NeXus.
-Internally, nionswift organizes data and metadata as so-called display_items. These can be
-thought of as smart objects which have their data and metadata surplus a uuid, a creation
-time and a (last) modification time whereby the place in the object hierarchy documented by
-the nsproj tree is defined.
-These display_items can be images captured during a microscope session, they can be processed
-data within nionswift, images, spectra, or even higher-dimensional objects which wrap
-n-dimensional numpy arrays.
-There is no direct conceptualization in nionswift what an object bests represents as a
-concept, is the object representing an image with metadata or an EELS spectrum, or an
-omega-q mapping.
-Therefore, we use configuration files whereby the rules are implemented how the
-em_nion parsers decides which metadata have to be offered in a particular formatted way
-by the object so that it qualifies to represent an instance of a respective NeXus concept
-offered via NXem, e.g. NXimage_set, NXspectrum_set, NXhyperstack_set.
-The configuration files are used to reduce the amount of hard-coded information transfer
-to a minimum. But given that different concepts demand different types of e.g. dimension
-scale axes to resolve to useful/sensible instance of such concept some concept-specific
-parts of the reader are hardcoded.
-
-## Output
-The em_nion reader returns an instance of an NXem NeXus HDF5 file where data for
-recognized concepts are mapped with the data and some of their metadata.
-
-## TODO
-* Add example and describe
-* Remove the focus of the README.md on the NOMAD OASIS product
-
-## Contact person for this reader
-Markus Kühbach
\ No newline at end of file
diff --git a/pynxtools/dataconverter/readers/em_nion/__init__.py b/pynxtools/dataconverter/readers/em_nion/__init__.py
deleted file mode 100644
index e69de29bb..000000000
diff --git a/pynxtools/dataconverter/readers/em_nion/map_concepts/README.md b/pynxtools/dataconverter/readers/em_nion/map_concepts/README.md
deleted file mode 100644
index 113f7d7e7..000000000
--- a/pynxtools/dataconverter/readers/em_nion/map_concepts/README.md
+++ /dev/null
@@ -1,12 +0,0 @@
-## Scope
-
-Here we store the json dictionaries whereby the parser identifies if a certain
-nionswift display_item can be mapped to an available logical NeXus concept.
-
-The dictionary is very similar to the approach taken by the jsonmap_reader.
-However the order of the dictionary is reversed. Namely, the keys of the dictionary
-identify specific names in the json metadata dictionary representation of nionswift.
-The left (value) part of the dictionary is a tuple of a string giving the corresponding
-variadic (template) path in NXem onto which a value is mapped, the second value in the
-tuple is numpy.dtype, if that value is str only then there is a third entry
-in the tuple which identifies the expected dimensionality of the data.
diff --git a/pynxtools/dataconverter/readers/em_nion/map_concepts/swift_display_items_to_nx.py b/pynxtools/dataconverter/readers/em_nion/map_concepts/swift_display_items_to_nx.py
deleted file mode 100644
index 0fc2675de..000000000
--- a/pynxtools/dataconverter/readers/em_nion/map_concepts/swift_display_items_to_nx.py
+++ /dev/null
@@ -1,107 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Utility for analyzing swift data/metadata of display_items to identify NeXus concepts."""
-
-# pylint: disable=no-member
-
-import flatdict as fd
-
-
-metadata_constraints = {
-    "type": str,
-    "uuid": str,
-    "created": str,
-    "data_shape": list,
-    "data_dtype": str,
-    "is_sequence": bool,
-    "dimensional_calibrations": list,
-    "data_modified": str,
-    "timezone": str,
-    "timezone_offset": str,
-    "metadata/hardware_source/hardware_source_id": str,
-    "version": int,
-    "modified": str,
-}
-
-nexus_concept_dict = {
-    "ITULL": "NxImageSetRealSpace",
-    "IFLL": "NxImageSetRealSpace",
-    "IFL": None,
-    "ITUL": None,
-    "STUUE": "NxSpectrumSetEelsOmegaQ",
-    "STULLE": "NxSpectrumSetEels",
-    "STULLUE": "NxSpectrumSetOmegaQ",
-    "SFLLUE": "NxSpectrumSetOmegaQ",
-    "SFLLE": "NxSpectrumSetEels",
-    "SFUE": "NxSpectrumSetEelsOmegaQ",
-    "RFAA": "NxImageAngSpace",
-    "RTUAA": "NxImageAngSpace",
-}
-
-
-def check_existence_of_required_fields(dct: dict, constraint_dct: dict) -> bool:
-    """Checks if given dictionary has fields with values which match constraints."""
-    flat_dct = fd.FlatDict(dct, delimiter="/")
-    for keyword, dtyp in constraint_dct.items():
-        if keyword not in flat_dct.keys():
-            print(f"-->{keyword} not keyword")
-            return False
-        if not isinstance(flat_dct[keyword], dtyp):
-            print(f"-->{keyword} not instance")
-            return False
-    return True
-
-
-def identify_nexus_concept_key(dct: dict) -> str:
-    """Identifies best candidate to map data/metadata on a NeXus concept."""
-    # ##MK::imporve that we work ideally always with the flattened dictionary
-    nexus_concept_key = "UNKNOWN"
-    if check_existence_of_required_fields(dct, metadata_constraints) is False:
-        return nexus_concept_key
-    lst_unit_catg = []
-    for axis_dict in dct["dimensional_calibrations"]:  # inspect axes in sequence
-        if isinstance(axis_dict, dict):
-            if set(axis_dict.keys()) == set(["offset", "scale", "units"]):
-                unit_arg = axis_dict["units"].lower()
-                if unit_arg == "":
-                    lst_unit_catg.append("U")
-                elif unit_arg in ["nm"]:  # replace by pint to pick up on any length
-                    lst_unit_catg.append("L")
-                elif unit_arg in ["ev"]:  # replace by pint to pick up on any enery
-                    lst_unit_catg.append("E")
-                elif unit_arg in ["rad"]:  # replace by pint to pick up on angle unit
-                    lst_unit_catg.append("A")
-                else:
-                    return nexus_concept_key
-        set_unit_catg = set(lst_unit_catg)
-
-        if "A" in set_unit_catg:
-            nexus_concept_key = (
-                f"R{str(dct['is_sequence']).upper()[0:1]}{''.join(lst_unit_catg)}"
-            )
-        elif "E" in set_unit_catg:
-            nexus_concept_key = (
-                f"S{str(dct['is_sequence']).upper()[0:1]}{''.join(lst_unit_catg)}"
-            )
-        elif "E" not in set_unit_catg:
-            nexus_concept_key = (
-                f"I{str(dct['is_sequence']).upper()[0:1]}{''.join(lst_unit_catg)}"
-            )
-        else:
-            return nexus_concept_key
-    return nexus_concept_key
diff --git a/pynxtools/dataconverter/readers/em_nion/map_concepts/swift_eln_to_nx_map.py b/pynxtools/dataconverter/readers/em_nion/map_concepts/swift_eln_to_nx_map.py
deleted file mode 100644
index f7d7e8566..000000000
--- a/pynxtools/dataconverter/readers/em_nion/map_concepts/swift_eln_to_nx_map.py
+++ /dev/null
@@ -1,214 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Dict mapping custom schema instances from eln_data.yaml file on concepts in NXem."""
-
-# pylint: disable=no-member,line-too-long
-
-# releasing line-too-long restriction to avoid having line breaks in the mapping table
-# made the experience that when having a widescreen working with the mapping table
-# as single-line instructions is more convenient to read and parsable by human eye
-
-# there are several issues with the current design of how data from the eln_data.yaml are passed
-# some quantities from a custom schema instance end up as list of dictionaries, like here
-# aperture and user, however in this mapping approach they would demand concept-specific
-# modifiers to be picked up by, currently the em_spctrscpy, em_om, apm examples individually
-# parse relevant quantities for each section which makes the code difficult to read and
-# unnecessarily lengthy, with em_nion we would like to test if instead we can use
-# a set of mapping tables whereby to read content from a custom schema instance eln_data.yaml
-# results file directly into the template which the em_nion reader has to fill and pass
-# then to the data converter
-
-NxEmElnInput = {
-    "IGNORE": {"fun": "load_from_dict_list", "terms": "em_lab/detector"},
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "em_lab/ebeam_column/aberration_correction/applied",
-    },
-    "IGNORE": {
-        "fun": "load_from_dict_list",
-        "terms": "em_lab/ebeam_column/aperture_em",
-    },
-    "/ENTRY[entry*]/em_lab/EBEAM_COLUMN[ebeam_column]/electron_source/emitter_type": {
-        "fun": "load_from",
-        "terms": "em_lab/ebeam_column/electron_source/emitter_type",
-    },
-    "/ENTRY[entry*]/em_lab/EBEAM_COLUMN[ebeam_column]/electron_source/voltage/@units": {
-        "fun": "load_from",
-        "terms": "em_lab/ebeam_column/electron_source/voltage/unit",
-    },
-    "/ENTRY[entry*]/em_lab/EBEAM_COLUMN[ebeam_column]/electron_source/voltage": {
-        "fun": "load_from",
-        "terms": "em_lab/ebeam_column/electron_source/voltage/value",
-    },
-    "/ENTRY[entry*]/em_lab/FABRICATION[fabrication]/capabilities": {
-        "fun": "load_from",
-        "terms": "em_lab/fabrication/capabilities",
-    },
-    "/ENTRY[entry*]/em_lab/FABRICATION[fabrication]/identifier": {
-        "fun": "load_from",
-        "terms": "em_lab/fabrication/identifier",
-    },
-    "/ENTRY[entry*]/em_lab/FABRICATION[fabrication]/model": {
-        "fun": "load_from",
-        "terms": "em_lab/fabrication/model",
-    },
-    "/ENTRY[entry*]/em_lab/FABRICATION[fabrication]/vendor": {
-        "fun": "load_from",
-        "terms": "em_lab/fabrication/vendor",
-    },
-    "/ENTRY[entry*]/em_lab/instrument_name": {
-        "fun": "load_from",
-        "terms": "em_lab/instrument_name",
-    },
-    "/ENTRY[entry*]/em_lab/location": {"fun": "load_from", "terms": "em_lab/location"},
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "em_lab/optical_system_em/beam_current/unit",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "em_lab/optical_system_em/beam_current/value",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "em_lab/optical_system_em/beam_current_description",
-    },
-    "IGNORE": {"fun": "load_from", "terms": "em_lab/optical_system_em/magnification"},
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "em_lab/optical_system_em/semi_convergence_angle/unit",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "em_lab/optical_system_em/semi_convergence_angle/value",
-    },
-    "/ENTRY[entry*]/em_lab/stage_lab/description": {
-        "fun": "load_from",
-        "terms": "em_lab/stage_lab/description",
-    },
-    "/ENTRY[entry*]/em_lab/stage_lab/name": {
-        "fun": "load_from",
-        "terms": "em_lab/stage_lab/name",
-    },
-    "/ENTRY[entry*]/@version": {"fun": "load_from", "terms": "entry/attr_version"},
-    "/ENTRY[entry*]/definition": {"fun": "load_from", "terms": "entry/definition"},
-    "/ENTRY[entry*]/end_time": {"fun": "load_from", "terms": "entry/end_time"},
-    "/ENTRY[entry*]/experiment_description": {
-        "fun": "load_from",
-        "terms": "entry/experiment_description",
-    },
-    "/ENTRY[entry*]/experiment_identifier": {
-        "fun": "load_from",
-        "terms": "entry/experiment_identifier",
-    },
-    "/ENTRY[entry*]/PROGRAM[program*]/program": {
-        "fun": "load_from",
-        "terms": "entry/program",
-    },
-    "/ENTRY[entry*]/PROGRAM[program*]/program/@version": {
-        "fun": "load_from",
-        "terms": "entry/program__attr_version",
-    },
-    "/ENTRY[entry*]/start_time": {"fun": "load_from", "terms": "entry/start_time"},
-    "IGNORE": {"fun": "load_from_list_of_dict", "terms": "user"},
-}
-
-# NeXus concept specific mapping tables which require special treatment as the current
-# NOMAD OASIS custom schema implementation delivers them as a list of dictionaries instead
-# of a directly flattenable list of keyword, value pairs
-
-NxApertureEmFromListOfDict = {
-    "/ENTRY[entry*]/em_lab/EBEAM_COLUMN[ebeam_column]/APERTURE_EM[aperture_em*]/name": {
-        "fun": "load_from",
-        "terms": "name",
-    },
-    "/ENTRY[entry*]/em_lab/EBEAM_COLUMN[ebeam_column]/APERTURE_EM[aperture_em*]/value": {
-        "fun": "load_from",
-        "terms": "value",
-    },
-}
-
-NxUserFromListOfDict = {
-    "/ENTRY[entry*]/USER[user*]/name": {"fun": "load_from", "terms": "name"},
-    "/ENTRY[entry*]/USER[user*]/affiliation": {
-        "fun": "load_from",
-        "terms": "affiliation",
-    },
-    "/ENTRY[entry*]/USER[user*]/address": {"fun": "load_from", "terms": "address"},
-    "/ENTRY[entry*]/USER[user*]/email": {"fun": "load_from", "terms": "email"},
-    "/ENTRY[entry*]/USER[user*]/orcid": {"fun": "load_from", "terms": "orcid"},
-    "/ENTRY[entry*]/USER[user*]/orcid_platform": {
-        "fun": "load_from",
-        "terms": "orcid_platform",
-    },
-    "/ENTRY[entry*]/USER[user*]/telephone_number": {
-        "fun": "load_from",
-        "terms": "telephone_number",
-    },
-    "/ENTRY[entry*]/USER[user*]/role": {"fun": "load_from", "terms": "role"},
-    "/ENTRY[entry*]/USER[user*]/social_media_name": {
-        "fun": "load_from",
-        "terms": "social_media_name",
-    },
-    "/ENTRY[entry*]/USER[user*]/social_media_platform": {
-        "fun": "load_from",
-        "terms": "social_media_platform",
-    },
-}
-
-NxDetectorListOfDict = {
-    "/ENTRY[entry*]/em_lab/DETECTOR[detector*]/local_name": {
-        "fun": "load_from",
-        "terms": "local_name",
-    }
-}
-
-# atom_types is a good example for specific cases where one cannot just blindly map
-# the list that comes from the custom schema ELN instance, because
-# people may enter invalid types of atoms (which would generate problems in NOMAD OASIS)
-# and for NeXus we would like to have a "string of a comma-separated list of element names"
-
-NxSample = {
-    "IGNORE": {"fun": "load_from", "terms": "sample/atom_types"},
-    "/ENTRY[entry*]/sample/description": {
-        "fun": "load_from",
-        "terms": "sample/description",
-    },
-    "/ENTRY[entry*]/sample/method": {"fun": "load_from", "terms": "sample/method"},
-    "/ENTRY[entry*]/sample/name": {"fun": "load_from", "terms": "sample/name"},
-    "/ENTRY[entry*]/sample/preparation_date": {
-        "fun": "load_from",
-        "terms": "sample/preparation_date",
-    },
-    "/ENTRY[entry*]/sample/sample_history": {
-        "fun": "load_from",
-        "terms": "sample/sample_history",
-    },
-    "/ENTRY[entry*]/sample/short_title": {
-        "fun": "load_from",
-        "terms": "sample/short_title",
-    },
-    "/ENTRY[entry*]/sample/thickness": {
-        "fun": "load_from",
-        "terms": "sample/thickness/value",
-    },
-    "/ENTRY[entry*]/sample/thickness/@units": {
-        "fun": "load_from",
-        "terms": "sample/thickness/unit",
-    },
-}
diff --git a/pynxtools/dataconverter/readers/em_nion/map_concepts/swift_to_nx_image_ang_space.py b/pynxtools/dataconverter/readers/em_nion/map_concepts/swift_to_nx_image_ang_space.py
deleted file mode 100644
index 3b6aa9b22..000000000
--- a/pynxtools/dataconverter/readers/em_nion/map_concepts/swift_to_nx_image_ang_space.py
+++ /dev/null
@@ -1,152 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""The constraints defining if a swift display_item is assumed a NxImageAngSpace concept."""
-
-# pylint: disable=no-member,line-too-long
-
-# AngSpace, i.e. AngularSpace is not Reciprocal space, recall the following
-# RealSpace unit category for dimension scale axes is (NX_)LENGTH
-# AngSpace unit category for dimension scale axes is (NX_)ANGLE
-# ReciSpace unit category for dimension scale axis is ONE_OVER_LENGTH (not in NeXus yet...)
-
-# releasing line-too-long restriction to avoid having line breaks in the mapping table
-# made the experience that when having a widescreen working with the mapping table
-# as single-line instructions is more convenient to read and parsable by human eye
-
-
-NxImageAngSpaceDict = {
-    "IGNORE": {"fun": "load_from", "terms": "type"},
-    "IGNORE": {"fun": "load_from", "terms": "uuid"},
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/start_time": {
-        "fun": "convert_iso8601",
-        "terms": ["created", "timezone"],
-    },
-    "IGNORE": {"fun": "load_from", "terms": "is_sequence"},
-    "IGNORE": {"fun": "load_from", "terms": "intensity_calibration/offset"},
-    "IGNORE": {"fun": "load_from", "terms": "intensity_calibration/scale"},
-    "IGNORE": {"fun": "load_from", "terms": "intensity_calibration/units"},
-    "IGNORE": {"fun": "load_from", "terms": "dimensional_calibrations"},
-    "IGNORE": {"fun": "load_from", "terms": "timezone_offset"},
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/IMAGE[ronchicam]/PROCESS[process]/binning": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/autostem/Acquisition:Binning",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/IMAGE[ronchicam]/PROCESS[process]/dark_mode": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/autostem/Acquisition:DarkMode",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/IMAGE[ronchicam]/PROCESS[process]/exposure_time": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/autostem/Acquisition:ExposureTime(s)",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/IMAGE[ronchicam]/PROCESS[process]/exposure_time": "s",
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/IMAGE[ronchicam]/PROCESS[process]/gain_mode": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/autostem/Acquisition:GainMode",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/IMAGE[ronchicam]/PROCESS[process]/flipped": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/autostem/Acquisition:IsFlipped",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/IMAGE[ronchicam]/PROCESS[process]/readout_tlbr": {
-        "fun": "load_from",
-        "terms": [
-            "metadata/hardware_source/autostem/Acquisition:ReadOutTop",
-            "metadata/hardware_source/autostem/Acquisition:ReadOutLeft",
-            "metadata/hardware_source/autostem/Acquisition:ReadOutBottom",
-            "metadata/hardware_source/autostem/Acquisition:ReadOutRight",
-        ],
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/IMAGE[ronchicam]/PROCESS[process]/normalization": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/autostem/Acquisition:ValueNormalization",
-    },
-    "IGNORE": {"fun": "load_from", "terms": "metadata/hardware_source/source"},
-    "IGNORE": {"fun": "load_from", "terms": "metadata/hardware_source/timestamp"},
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/sensor_dimensions_hw",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/sensor_readout_area_tlbr",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/is_flipped_horizontally",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/is_gain_corrected",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/is_dark_subtracted",
-    },
-    "IGNORE": {"fun": "load_from", "terms": "metadata/hardware_source/frame_number"},
-    "IGNORE": {"fun": "load_from", "terms": "metadata/hardware_source/time_point_ns"},
-    "IGNORE": "ns",
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/integration_count",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/counts_per_electron",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/IMAGE[ronchicam]/detector_identifier": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/hardware_source_id",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/hardware_source_name",
-    },
-    "IGNORE": {"fun": "load_from", "terms": "metadata/hardware_source/exposure"},
-    "IGNORE": {"fun": "load_from", "terms": "metadata/hardware_source/binning"},
-    "IGNORE": {"fun": "load_from", "terms": "metadata/hardware_source/signal_type"},
-    "IGNORE": {"fun": "load_from", "terms": "metadata/hardware_source/valid_rows"},
-    "IGNORE": {"fun": "load_from", "terms": "metadata/hardware_source/frame_index"},
-    "IGNORE": {"fun": "load_from", "terms": "metadata/hardware_source/channel_index"},
-    "IGNORE": {"fun": "load_from", "terms": "metadata/hardware_source/reference_key"},
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_COLUMN[ebeam_column]/electron_source/voltage": {
-        "fun": "load_from",
-        "terms": "metadata/instrument/high_tension",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_COLUMN[ebeam_column]/electron_source/voltage/@units": "V",
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/OPTICAL_SYSTEM_EM[optical_system_em]/defocus": {
-        "fun": "load_from",
-        "terms": "metadata/instrument/defocus",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/OPTICAL_SYSTEM_EM[optical_system_em]/defocus": "m",
-    "IGNORE": {"fun": "load_from", "terms": "title"},
-    "IGNORE": {"fun": "load_from", "terms": "session_id"},
-    "IGNORE": {"fun": "load_from", "terms": "session"},
-    "IGNORE": {"fun": "load_from", "terms": "category"},
-    "IGNORE": {"fun": "load_from", "terms": "version"},
-    "IGNORE": {"fun": "load_from", "terms": "modified"},
-    "IGNORE": {"fun": "load_from", "terms": "data_shape"},
-    "IGNORE": {"fun": "load_from", "terms": "data_dtype"},
-    "IGNORE": {"fun": "load_from", "terms": "collection_dimension_count"},
-    "IGNORE": {"fun": "load_from", "terms": "datum_dimension_count"},
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/end_time": {
-        "fun": "convert_iso8601",
-        "terms": ["data_modified", "timezone"],
-    },
-    "IGNORE": {"fun": "load_from", "terms": "__large_format"},
-}
diff --git a/pynxtools/dataconverter/readers/em_nion/map_concepts/swift_to_nx_image_real_space.py b/pynxtools/dataconverter/readers/em_nion/map_concepts/swift_to_nx_image_real_space.py
deleted file mode 100644
index b8f670ced..000000000
--- a/pynxtools/dataconverter/readers/em_nion/map_concepts/swift_to_nx_image_real_space.py
+++ /dev/null
@@ -1,492 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""The constraints defining if a swift display_item is assumed a NxImageRealSpace concept."""
-
-# pylint: disable=no-member,line-too-long
-
-# releasing line-too-long restriction to avoid having line breaks in the mapping table
-# made the experience that when having a widescreen working with the mapping table
-# as single-line instructions is more convenient to read and parsable by human eye
-
-# current issues:
-# hard-coding currently the ebeam deflector is problematic as it is
-# to just make the name variadic but then assume there is always only one
-# in the specific case of a Nion microscope and which information is available typically
-# via swift there one would get information about the scanbox for which the closest
-# match is NXebeam_deflector and there is only one scanbox at an Nion Hermes 200
-# but one could customize this implementation here and instead resolve how the scanbox
-# is composed of individual groups of deflection coils in which case one could also
-# think about using one NXebeam_deflector for every single coil...
-
-NxImageRealSpaceDict = {
-    "IGNORE": {"fun": "load_from", "terms": "type"},
-    "IGNORE": {"fun": "load_from", "terms": "uuid"},
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/start_time": {
-        "fun": "convert_iso8601",
-        "terms": ["created", "timezone"],
-    },
-    "IGNORE": {"fun": "load_from", "terms": "is_sequence"},
-    "IGNORE": {"fun": "load_from", "terms": "intensity_calibration/offset"},
-    "IGNORE": {"fun": "load_from", "terms": "intensity_calibration/scale"},
-    "IGNORE": {"fun": "load_from", "terms": "intensity_calibration/units"},
-    "IGNORE": {"fun": "load_from", "terms": "dimensional_calibrations"},
-    "IGNORE": {"fun": "load_from", "terms": "timezone"},
-    "IGNORE": {"fun": "load_from", "terms": "timezone_offset"},
-    "IGNORE": {"fun": "load_from", "terms": "metadata/instrument/high_tension"},
-    "IGNORE": {"fun": "load_from", "terms": "metadata/instrument/defocus"},
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_COLUMN[ebeam_column]/electron_source/voltage": {
-        "fun": "load_from",
-        "terms": "metadata/instrument/ImageScanned/EHT",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_COLUMN[ebeam_column]/electron_source/voltage/@units": "V",
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/instrument/ImageScanned/PMTBF_gain",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/instrument/ImageScanned/PMTDF_gain",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/STAGE_LAB[stage_lab]/tilt1": {
-        "fun": "load_from",
-        "terms": "metadata/instrument/ImageScanned/StageOutA",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/STAGE_LAB[stage_lab]/tilt1/@units": "deg",
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/STAGE_LAB[stage_lab]/tilt2": {
-        "fun": "load_from",
-        "terms": "metadata/instrument/ImageScanned/StageOutB",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/STAGE_LAB[stage_lab]/tilt2/@units": "deg",
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/STAGE_LAB[stage_lab]/position": {
-        "fun": "load_from",
-        "terms": [
-            "metadata/instrument/ImageScanned/StageOutX",
-            "metadata/instrument/ImageScanned/StageOutY",
-            "metadata/instrument/ImageScanned/StageOutZ",
-        ],
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/STAGE_LAB[stage_lab]/position/@units": "m",
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_COLUMN[ebeam_column]/aberration_correction/ZEMLIN_TABLEAU/PROCESS[process]/nion/c_1_0/magnitude": {
-        "fun": "load_from",
-        "terms": "metadata/instrument/ImageScanned/C10",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_COLUMN[ebeam_column]/aberration_correction/ZEMLIN_TABLEAU/PROCESS[process]/nion/c_1_0/magnitude/@units": "m",
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_COLUMN[ebeam_column]/aberration_correction/ZEMLIN_TABLEAU/PROCESS[process]/nion/c_1_2_a/magnitude": {
-        "fun": "load_from",
-        "terms": "metadata/instrument/ImageScanned/C12.a",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_COLUMN[ebeam_column]/aberration_correction/ZEMLIN_TABLEAU/PROCESS[process]/nion/c_1_2_a/magnitude/@units": "m",
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_COLUMN[ebeam_column]/aberration_correction/ZEMLIN_TABLEAU/PROCESS[process]/nion/c_1_2_b/magnitude": {
-        "fun": "load_from",
-        "terms": "metadata/instrument/ImageScanned/C12.b",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_COLUMN[ebeam_column]/aberration_correction/ZEMLIN_TABLEAU/PROCESS[process]/nion/c_1_2_b/magnitude/@units": "m",
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_COLUMN[ebeam_column]/aberration_correction/ZEMLIN_TABLEAU/PROCESS[process]/nion/c_2_1_a/magnitude": {
-        "fun": "load_from",
-        "terms": "metadata/instrument/ImageScanned/C21.a",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_COLUMN[ebeam_column]/aberration_correction/ZEMLIN_TABLEAU/PROCESS[process]/nion/c_2_1_a/magnitude/@units": "m",
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_COLUMN[ebeam_column]/aberration_correction/ZEMLIN_TABLEAU/PROCESS[process]/nion/c_2_1_b/magnitude": {
-        "fun": "load_from",
-        "terms": "metadata/instrument/ImageScanned/C21.b",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_COLUMN[ebeam_column]/aberration_correction/ZEMLIN_TABLEAU/PROCESS[process]/nion/c_2_1_b/magnitude/@units": "m",
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_COLUMN[ebeam_column]/aberration_correction/ZEMLIN_TABLEAU/PROCESS[process]/nion/c_2_3_a/magnitude": {
-        "fun": "load_from",
-        "terms": "metadata/instrument/ImageScanned/C23.a",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_COLUMN[ebeam_column]/aberration_correction/ZEMLIN_TABLEAU/PROCESS[process]/nion/c_2_3_a/magnitude/@units": "m",
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_COLUMN[ebeam_column]/aberration_correction/ZEMLIN_TABLEAU/PROCESS[process]/nion/c_2_3_b/magnitude": {
-        "fun": "load_from",
-        "terms": "metadata/instrument/ImageScanned/C23.b",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_COLUMN[ebeam_column]/aberration_correction/ZEMLIN_TABLEAU/PROCESS[process]/nion/c_2_3_b/magnitude/@units": "m",
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_COLUMN[ebeam_column]/aberration_correction/ZEMLIN_TABLEAU/PROCESS[process]/nion/c_3_0/magnitude": {
-        "fun": "load_from",
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-        "fun": "load_from",
-        "terms": "metadata/instrument/ImageScanned/C1 ConstW",
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-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_COLUMN[ebeam_column]/LENS_EM[lens_em1]/name": "C1",
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-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_COLUMN[ebeam_column]/LENS_EM[lens_em3]/value": {
-        "fun": "load_from",
-        "terms": "metadata/instrument/ImageScanned/C3 ConstW",
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-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_COLUMN[ebeam_column]/LENS_EM[lens_em3]/name": "C3",
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-        "fun": "load_from",
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-        "fun": "load_from",
-        "terms": "metadata/instrument/ImageScanned/SuperFEG.^EmissionCurrent",
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-        "fun": "load_from",
-        "terms": "metadata/instrument/ImageScanned/probe_ha",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/OPTICAL_SYSTEM_EM[optical_system_em]/semi_convergence_angle/@units": "mrad",
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/IMAGE_SET[image_set*]/inner_half_angle": {
-        "fun": "load_from",
-        "terms": "metadata/instrument/ImageScanned/HAADF_Inner_ha",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/IMAGE_SET[image_set*]/inner_half_angle/@units": "mrad",
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/IMAGE_SET[image_set*]/outer_half_angle": {
-        "fun": "load_from",
-        "terms": "metadata/instrument/ImageScanned/HAADF_Outer_ha",
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-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/IMAGE_SET[image_set*]/outer_half_angle/@units": "mrad",
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-        "fun": "load_from",
-        "terms": "metadata/instrument/ImageScanned/GeometricProbeSize",
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-    "IGNORE": {"fun": "load_from", "terms": "metadata/scan/hardware_source_name"},
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-        "fun": "load_from",
-        "terms": ["metadata/scan/center_x_nm", "metadata/scan/center_y_nm"],
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-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_DEFLECTOR[ebeam_deflector1]/center/@units": "nm",
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/OPTICAL_SYSTEM_EM[optical_system_em]/field_of_view": {
-        "fun": "load_from",
-        "terms": "metadata/scan/fov_nm",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/OPTICAL_SYSTEM_EM[optical_system_em]/field_of_view/@units": "nm",
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_DEFLECTOR[ebeam_deflector1]/rotation": {
-        "fun": "load_from",
-        "terms": "metadata/scan/rotation",
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-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_DEFLECTOR[ebeam_deflector1]/rotation/@units": "deg",
-    "IGNORE": {"fun": "load_from", "terms": "metadata/scan/rotation_deg"},
-    "IGNORE": {"fun": "load_from", "terms": "metadata/scan/scan_context_size"},
-    "UNCLEAR": {"fun": "load_from", "terms": "metadata/scan/subscan_fractional_size"},
-    "IGNORE": {"fun": "load_from", "terms": "metadata/scan/scan_size"},
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-        "fun": "load_from",
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-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_DEFLECTOR[ebeam_deflector1]/external_clock_wait_time": {
-        "fun": "load_from",
-        "terms": "metadata/scan/scan_device_parameters/external_clock_wait_time_ms",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_DEFLECTOR[ebeam_deflector1]/external_clock_wait_time": "ms",
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_DEFLECTOR[ebeam_deflector1]/external_clock_mode": {
-        "fun": "load_from",
-        "terms": "metadata/scan/scan_device_parameters/external_clock_mode",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_DEFLECTOR[ebeam_deflector1]/external_scan_mode": {
-        "fun": "load_from",
-        "terms": "metadata/scan/scan_device_parameters/external_scan_mode",
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-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_DEFLECTOR[ebeam_deflector1]/external_scan_ratio": {
-        "fun": "load_from",
-        "terms": "metadata/scan/scan_device_parameters/external_scan_ratio",
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-        "fun": "load_from",
-        "terms": "metadata/scan/scan_device_parameters/ac_line_sync",
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-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_DEFLECTOR[ebeam_deflector1]/ac_frame_sync": {
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-        "fun": "load_from",
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-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_DEFLECTOR[ebeam_deflector1]/ac_line_sync": {
-        "fun": "load_from",
-        "terms": "metadata/scan/scan_device_properties/ac_line_sync",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_DEFLECTOR[ebeam_deflector1]/calibration_style": {
-        "fun": "load_from",
-        "terms": "metadata/scan/scan_device_properties/calibration_style",
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-        "fun": "load_from",
-        "terms": "metadata/scan/scan_device_properties/center_x_nm",
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-        "fun": "load_from",
-        "terms": "metadata/scan/scan_device_properties/center_y_nm",
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-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_DEFLECTOR[ebeam_deflector1]/flyback_time": {
-        "fun": "load_from",
-        "terms": "metadata/scan/scan_device_properties/flyback_time_us",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_DEFLECTOR[ebeam_deflector1]/flyback_time/@units": "µs",
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-        "fun": "load_from",
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-        "fun": "load_from",
-        "terms": "metadata/scan/scan_device_properties/line_time_us",
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-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_DEFLECTOR[ebeam_deflector1]/line_time/@units": "µs",
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-        "fun": "load_from",
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-        "fun": "load_from",
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-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_DEFLECTOR[ebeam_deflector1]/pixel_time_target": {
-        "fun": "load_from",
-        "terms": "metadata/scan/scan_device_properties/requested_pixel_time_us",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_DEFLECTOR[ebeam_deflector1]/pixel_time_target/@units": "µs",
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/scan/scan_device_properties/rotation_deg",
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-        "fun": "load_from",
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-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_DEFLECTOR[ebeam_deflector1]/CIRCUIT_BOARD[mag_board1]/DAC[dac1]/value": {
-        "fun": "load_from",
-        "terms": "metadata/scan/scan_device_properties/mag_boards/MagBoard 0 DAC 0",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_DEFLECTOR[ebeam_deflector1]/CIRCUIT_BOARD[mag_board1]/DAC[dac2]/value": {
-        "fun": "load_from",
-        "terms": "metadata/scan/scan_device_properties/mag_boards/MagBoard 0 DAC 1",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_DEFLECTOR[ebeam_deflector1]/CIRCUIT_BOARD[mag_board1]/DAC[dac3]/value": {
-        "fun": "load_from",
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-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_DEFLECTOR[ebeam_deflector1]/CIRCUIT_BOARD[mag_board1]/DAC[dac4]/value": {
-        "fun": "load_from",
-        "terms": "metadata/scan/scan_device_properties/mag_boards/MagBoard 0 DAC 3",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_DEFLECTOR[ebeam_deflector1]/CIRCUIT_BOARD[mag_board1]/DAC[dac5]/value": {
-        "fun": "load_from",
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-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_DEFLECTOR[ebeam_deflector1]/CIRCUIT_BOARD[mag_board1]/DAC[dac6]/value": {
-        "fun": "load_from",
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-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_DEFLECTOR[ebeam_deflector1]/CIRCUIT_BOARD[mag_board1]/DAC[dac7]/value": {
-        "fun": "load_from",
-        "terms": "metadata/scan/scan_device_properties/mag_boards/MagBoard 0 DAC 6",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_DEFLECTOR[ebeam_deflector1]/CIRCUIT_BOARD[mag_board1]/DAC[dac8]/value": {
-        "fun": "load_from",
-        "terms": "metadata/scan/scan_device_properties/mag_boards/MagBoard 0 DAC 7",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_DEFLECTOR[ebeam_deflector1]/CIRCUIT_BOARD[mag_board1]/DAC[dac9]/value": {
-        "fun": "load_from",
-        "terms": "metadata/scan/scan_device_properties/mag_boards/MagBoard 0 DAC 8",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_DEFLECTOR[ebeam_deflector1]/CIRCUIT_BOARD[mag_board1]/DAC[dac10]/value": {
-        "fun": "load_from",
-        "terms": "metadata/scan/scan_device_properties/mag_boards/MagBoard 0 DAC 9",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_DEFLECTOR[ebeam_deflector1]/CIRCUIT_BOARD[mag_board1]/DAC[dac11]/value": {
-        "fun": "load_from",
-        "terms": "metadata/scan/scan_device_properties/mag_boards/MagBoard 0 DAC 10",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_DEFLECTOR[ebeam_deflector1]/CIRCUIT_BOARD[mag_board1]/DAC[dac12]/value": {
-        "fun": "load_from",
-        "terms": "metadata/scan/scan_device_properties/mag_boards/MagBoard 0 DAC 11",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_DEFLECTOR[ebeam_deflector1]/CIRCUIT_BOARD[mag_board1]/relay": {
-        "fun": "load_from",
-        "terms": "metadata/scan/scan_device_properties/mag_boards/MagBoard 0 Relay",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_DEFLECTOR[ebeam_deflector1]/CIRCUIT_BOARD[mag_board2]/DAC[dac1]/value": {
-        "fun": "load_from",
-        "terms": "metadata/scan/scan_device_properties/mag_boards/MagBoard 1 DAC 0",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_DEFLECTOR[ebeam_deflector1]/CIRCUIT_BOARD[mag_board2]/DAC[dac2]/value": {
-        "fun": "load_from",
-        "terms": "metadata/scan/scan_device_properties/mag_boards/MagBoard 1 DAC 1",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_DEFLECTOR[ebeam_deflector1]/CIRCUIT_BOARD[mag_board2]/DAC[dac3]/value": {
-        "fun": "load_from",
-        "terms": "metadata/scan/scan_device_properties/mag_boards/MagBoard 1 DAC 2",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_DEFLECTOR[ebeam_deflector1]/CIRCUIT_BOARD[mag_board2]/DAC[dac4]/value": {
-        "fun": "load_from",
-        "terms": "metadata/scan/scan_device_properties/mag_boards/MagBoard 1 DAC 3",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_DEFLECTOR[ebeam_deflector1]/CIRCUIT_BOARD[mag_board2]/DAC[dac5]/value": {
-        "fun": "load_from",
-        "terms": "metadata/scan/scan_device_properties/mag_boards/MagBoard 1 DAC 4",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_DEFLECTOR[ebeam_deflector1]/CIRCUIT_BOARD[mag_board2]/DAC[dac6]/value": {
-        "fun": "load_from",
-        "terms": "metadata/scan/scan_device_properties/mag_boards/MagBoard 1 DAC 5",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_DEFLECTOR[ebeam_deflector1]/CIRCUIT_BOARD[mag_board2]/DAC[dac7]/value": {
-        "fun": "load_from",
-        "terms": "metadata/scan/scan_device_properties/mag_boards/MagBoard 1 DAC 6",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_DEFLECTOR[ebeam_deflector1]/CIRCUIT_BOARD[mag_board2]/DAC[dac8]/value": {
-        "fun": "load_from",
-        "terms": "metadata/scan/scan_device_properties/mag_boards/MagBoard 1 DAC 7",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_DEFLECTOR[ebeam_deflector1]/CIRCUIT_BOARD[mag_board2]/DAC[dac9]/value": {
-        "fun": "load_from",
-        "terms": "metadata/scan/scan_device_properties/mag_boards/MagBoard 1 DAC 8",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_DEFLECTOR[ebeam_deflector1]/CIRCUIT_BOARD[mag_board2]/DAC[dac10]/value": {
-        "fun": "load_from",
-        "terms": "metadata/scan/scan_device_properties/mag_boards/MagBoard 1 DAC 9",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_DEFLECTOR[ebeam_deflector1]/CIRCUIT_BOARD[mag_board2]/DAC[dac11]/value": {
-        "fun": "load_from",
-        "terms": "metadata/scan/scan_device_properties/mag_boards/MagBoard 1 DAC 10",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_DEFLECTOR[ebeam_deflector1]/CIRCUIT_BOARD[mag_board2]/DAC[dac12]/value": {
-        "fun": "load_from",
-        "terms": "metadata/scan/scan_device_properties/mag_boards/MagBoard 1 DAC 11",
-    },
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/em_lab/EBEAM_DEFLECTOR[ebeam_deflector1]/CIRCUIT_BOARD[mag_board2]/relay": {
-        "fun": "load_from",
-        "terms": "metadata/scan/scan_device_properties/mag_boards/MagBoard 1 Relay",
-    },
-    "UNCLEAR": {"fun": "load_from", "terms": "metadata/scan/valid_rows"},
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/IMAGE_SET[image_set*]/detector_identifier": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/hardware_source_id",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/hardware_source_name",
-    },
-    "IGNORE": {"fun": "load_from", "terms": "metadata/hardware_source/exposure"},
-    "UNCLEAR": {"fun": "load_from", "terms": "metadata/hardware_source/frame_index"},
-    "IGNORE": {"fun": "load_from", "terms": "metadata/hardware_source/channel_id"},
-    "IGNORE": {"fun": "load_from", "terms": "metadata/hardware_source/channel_name"},
-    "IGNORE": {"fun": "load_from", "terms": "metadata/hardware_source/pixel_time_us"},
-    "IGNORE": {"fun": "load_from", "terms": "metadata/hardware_source/line_time_us"},
-    "UNCLEAR": {"fun": "load_from", "terms": "metadata/hardware_source/valid_rows"},
-    "UNCLEAR": {"fun": "load_from", "terms": "metadata/hardware_source/channel_index"},
-    "UNCLEAR": {"fun": "load_from", "terms": "metadata/hardware_source/reference_key"},
-    "UNCLEAR": {"fun": "load_from", "terms": "metadata/hardware_source/view_id"},
-    "IGNORE": {"fun": "load_from", "terms": "title"},
-    "IGNORE": {"fun": "load_from", "terms": "session_id"},
-    "IGNORE": {"fun": "load_from", "terms": "session"},
-    "IGNORE": {"fun": "load_from", "terms": "category"},
-    "IGNORE": {"fun": "load_from", "terms": "version"},
-    "IGNORE": {"fun": "load_from", "terms": "modified"},
-    "IGNORE": {"fun": "load_from", "terms": "data_shape"},
-    "IGNORE": {"fun": "load_from", "terms": "data_dtype"},
-    "IGNORE": {"fun": "load_from", "terms": "collection_dimension_count"},
-    "IGNORE": {"fun": "load_from", "terms": "datum_dimension_count"},
-    "/ENTRY[entry*]/measurement/EVENT_DATA_EM[event_data_em*]/end_time": {
-        "fun": "convert_iso8601",
-        "terms": ["data_modified", "timezone"],
-    },
-}
diff --git a/pynxtools/dataconverter/readers/em_nion/map_concepts/swift_to_nx_spectrum_eels.py b/pynxtools/dataconverter/readers/em_nion/map_concepts/swift_to_nx_spectrum_eels.py
deleted file mode 100644
index 1ec51c571..000000000
--- a/pynxtools/dataconverter/readers/em_nion/map_concepts/swift_to_nx_spectrum_eels.py
+++ /dev/null
@@ -1,654 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""The constraints defining if a swift display_item is assumed a NxSpectrumSetEels concept."""
-
-# pylint: disable=no-member,line-too-long
-
-# releasing line-too-long restriction to avoid having line breaks in the mapping table
-# made the experience that when having a widescreen working with the mapping table
-# as single-line instructions is more convenient to read and parsable by human eye
-
-
-NxSpectrumEels = {
-    "IGNORE": {"fun": "load_from", "terms": "type"},
-    "IGNORE": {"fun": "load_from", "terms": "uuid"},
-    "IGNORE": {"fun": "convert_iso8601", "terms": ["created", "timezone"]},
-    "IGNORE": {"fun": "load_from", "terms": "is_sequence"},
-    "IGNORE": {"fun": "load_from", "terms": "intensity_calibration/offset"},
-    "IGNORE": {"fun": "load_from", "terms": "intensity_calibration/scale"},
-    "IGNORE": {"fun": "load_from", "terms": "intensity_calibration/units"},
-    "IGNORE": {"fun": "load_from", "terms": "dimensional_calibrations"},
-    "IGNORE": {"fun": "load_from", "terms": "timezone_offset"},
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/header_info/header_detail",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/header_info/htype",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/header_info/series",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/auto_summation",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/beam_center_x",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/beam_center_y",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/bit_depth_image",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/bit_depth_readout",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/chi_increment",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/chi_start",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/compression",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/count_time",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/countrate_correction_applied",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/countrate_correction_count_cutoff",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/data_collection_date",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/description",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/detector_distance",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/detector_number",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/detector_readout_time",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/detector_translation",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/eiger_fw_version",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/element",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/flatfield_correction_applied",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/frame_count_time",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/frame_period",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/frame_time",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/kappa_increment",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/kappa_start",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/nimages",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/ntrigger",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/number_of_excluded_pixels",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/omega_increment",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/omega_start",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/phi_increment",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/phi_start",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/photon_energy",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/pixel_mask_applied",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/roi_mode",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/sensor_material",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/sensor_thickness",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/software_version",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/threshold_energy",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/trigger_mode",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/two_theta_increment",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/two_theta_start",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/virtual_pixel_correction_applied",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/wavelength",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/x_pixel_size",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/x_pixels_in_detector",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/y_pixel_size",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/detector_configuration/y_pixels_in_detector",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/camera_processing_parameters/bad_pixels",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/camera_processing_parameters/processing",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/camera_processing_parameters/flip_l_r",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/camera_processing_parameters/binning",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/camera_processing_parameters/chip_size",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/camera_processing_parameters/sensor_dimensions",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/camera_processing_parameters/readout_area",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/camera_processing_parameters/countrate_correction_cutoff",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/camera_processing_parameters/interpolate_racetracks",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/camera_processing_parameters/mark_saturated_pixels",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/camera_processing_parameters/apply_countrate_correction",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/camera_processing_parameters/countrate_correction_factor",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/camera_processing_parameters/apply_gain_correction",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/camera_processing_parameters/always_interpolate_racetracks",
-    },
-    "IGNORE": {"fun": "load_from", "terms": "metadata/hardware_source/high_tension"},
-    "IGNORE": {"fun": "load_from", "terms": "metadata/hardware_source/defocus"},
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/ImageRonchigram/EHT",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/ImageRonchigram/MajorOL",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/ImageRonchigram/StageOutA",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/ImageRonchigram/StageOutB",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/ImageRonchigram/StageOutX",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/ImageRonchigram/StageOutY",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/ImageRonchigram/StageOutZ",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/ImageRonchigram/probe_ha",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/ImageRonchigram/SuperFEG.^EmissionCurrent",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/ImageRonchigram/LastTuneCurrent",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/ImageRonchigram/C10",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/ImageRonchigram/C12.a",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/ImageRonchigram/C12.b",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/ImageRonchigram/C21.a",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/ImageRonchigram/C21.b",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/ImageRonchigram/C23.a",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/ImageRonchigram/C23.b",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/ImageRonchigram/C30",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/ImageRonchigram/C32.a",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/ImageRonchigram/C32.b",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/ImageRonchigram/C34.a",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/ImageRonchigram/C34.b",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/ImageRonchigram/C50",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/hardware_source_id",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/hardware_source/hardware_source_name",
-    },
-    "IGNORE": {"fun": "load_from", "terms": "metadata/hardware_source/exposure"},
-    "IGNORE": {"fun": "load_from", "terms": "metadata/hardware_source/binning"},
-    "IGNORE": {"fun": "load_from", "terms": "metadata/hardware_source/signal_type"},
-    "IGNORE": {"fun": "load_from", "terms": "metadata/scan/hardware_source_id"},
-    "IGNORE": {"fun": "load_from", "terms": "metadata/scan/hardware_source_name"},
-    "IGNORE": {"fun": "load_from", "terms": "metadata/scan/scan_id"},
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": ["metadata/scan/center_x_nm", "metadata/scan/center_y_nm"],
-    },
-    "IGNORE": "nm",
-    "IGNORE": {"fun": "load_from", "terms": "metadata/scan/fov_nm"},
-    "IGNORE": {"fun": "load_from", "terms": "metadata/scan/rotation"},
-    "IGNORE": {"fun": "load_from", "terms": "metadata/scan/rotation_deg"},
-    "IGNORE": {"fun": "load_from", "terms": "metadata/scan/scan_context_size"},
-    "IGNORE": {"fun": "load_from", "terms": "metadata/scan/scan_size"},
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/scan/scan_device_parameters/size",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/scan/scan_device_parameters/center_nm",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/scan/scan_device_parameters/pixel_time_us",
-    },
-    "IGNORE": "µs",
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/scan/scan_device_parameters/fov_nm",
-    },
-    "IGNORE": "nm",
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/scan/scan_device_parameters/rotation_rad",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/scan/scan_device_parameters/external_clock_wait_time_ms",
-    },
-    "IGNORE": "ms",
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/scan/scan_device_parameters/external_clock_mode",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/scan/scan_device_parameters/external_scan_mode",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/scan/scan_device_parameters/external_scan_ratio",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/scan/scan_device_parameters/ac_line_sync",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/scan/scan_device_parameters/ac_frame_sync",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/scan/scan_device_parameters/flyback_time_us",
-    },
-    "IGNORE": "µs",
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/scan/scan_device_parameters/scan_id",
-    },
-    "IGNORE": {"fun": "load_from", "terms": "metadata/scan/valid_rows"},
-    "IGNORE": {"fun": "load_from", "terms": "metadata/instrument/high_tension"},
-    "IGNORE": {"fun": "load_from", "terms": "metadata/instrument/defocus"},
-    "IGNORE": {"fun": "load_from", "terms": "metadata/instrument/ImageScanned/EHT"},
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/instrument/ImageScanned/PMTBF_gain",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/instrument/ImageScanned/PMTDF_gain",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/instrument/ImageScanned/StageOutA",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/instrument/ImageScanned/StageOutB",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/instrument/ImageScanned/StageOutX",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/instrument/ImageScanned/StageOutY",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/instrument/ImageScanned/StageOutZ",
-    },
-    "IGNORE": {"fun": "load_from", "terms": "metadata/instrument/ImageScanned/C10"},
-    "IGNORE": {"fun": "load_from", "terms": "metadata/instrument/ImageScanned/C12.a"},
-    "IGNORE": {"fun": "load_from", "terms": "metadata/instrument/ImageScanned/C12.b"},
-    "IGNORE": {"fun": "load_from", "terms": "metadata/instrument/ImageScanned/C21.a"},
-    "IGNORE": {"fun": "load_from", "terms": "metadata/instrument/ImageScanned/C21.b"},
-    "IGNORE": {"fun": "load_from", "terms": "metadata/instrument/ImageScanned/C23.a"},
-    "IGNORE": {"fun": "load_from", "terms": "metadata/instrument/ImageScanned/C23.b"},
-    "IGNORE": {"fun": "load_from", "terms": "metadata/instrument/ImageScanned/C30"},
-    "IGNORE": {"fun": "load_from", "terms": "metadata/instrument/ImageScanned/C32.a"},
-    "IGNORE": {"fun": "load_from", "terms": "metadata/instrument/ImageScanned/C32.b"},
-    "IGNORE": {"fun": "load_from", "terms": "metadata/instrument/ImageScanned/C34.a"},
-    "IGNORE": {"fun": "load_from", "terms": "metadata/instrument/ImageScanned/C34.b"},
-    "IGNORE": {"fun": "load_from", "terms": "metadata/instrument/ImageScanned/C50"},
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/instrument/ImageScanned/C1 ConstW",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/instrument/ImageScanned/C2 ConstW",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/instrument/ImageScanned/C3 ConstW",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/instrument/ImageScanned/PMT2_gain",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/instrument/ImageScanned/SuperFEG.^EmissionCurrent",
-    },
-    "IGNORE": {"fun": "load_from", "terms": "metadata/instrument/ImageScanned/G_2Db"},
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/instrument/ImageScanned/LastTuneCurrent",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/instrument/ImageScanned/probe_ha",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/instrument/ImageScanned/HAADF_Inner_ha",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/instrument/ImageScanned/HAADF_Outer_ha",
-    },
-    "IGNORE": {
-        "fun": "load_from",
-        "terms": "metadata/instrument/ImageScanned/GeometricProbeSize",
-    },
-    "UNCLEAR": {
-        "fun": "load_from",
-        "terms": "metadata/MultiAcquire.settings/x_shifter",
-    },
-    "UNCLEAR": {"fun": "load_from", "terms": "metadata/MultiAcquire.settings/blanker"},
-    "UNCLEAR": {
-        "fun": "load_from",
-        "terms": "metadata/MultiAcquire.settings/x_shift_delay",
-    },
-    "UNCLEAR": {"fun": "load_from", "terms": "metadata/MultiAcquire.settings/focus"},
-    "UNCLEAR": {
-        "fun": "load_from",
-        "terms": "metadata/MultiAcquire.settings/focus_delay",
-    },
-    "UNCLEAR": {
-        "fun": "load_from",
-        "terms": "metadata/MultiAcquire.settings/auto_dark_subtract",
-    },
-    "UNCLEAR": {
-        "fun": "load_from",
-        "terms": "metadata/MultiAcquire.settings/processing",
-    },
-    "UNCLEAR": {
-        "fun": "load_from",
-        "terms": "metadata/MultiAcquire.settings/blanker_delay",
-    },
-    "UNCLEAR": {
-        "fun": "load_from",
-        "terms": "metadata/MultiAcquire.settings/sum_frames",
-    },
-    "UNCLEAR": {
-        "fun": "load_from",
-        "terms": "metadata/MultiAcquire.settings/camera_hardware_source_id",
-    },
-    "UNCLEAR": {
-        "fun": "load_from",
-        "terms": "metadata/MultiAcquire.settings/use_multi_eels_calibration",
-    },
-    "UNCLEAR": {
-        "fun": "load_from",
-        "terms": "metadata/MultiAcquire.settings/shift_each_sequence_slice",
-    },
-    "UNCLEAR": {
-        "fun": "load_from",
-        "terms": "metadata/MultiAcquire.settings/y_shifter",
-    },
-    "UNCLEAR": {
-        "fun": "load_from",
-        "terms": "metadata/MultiAcquire.settings/x_units_per_ev",
-    },
-    "UNCLEAR": "eV",
-    "UNCLEAR": {
-        "fun": "load_from",
-        "terms": "metadata/MultiAcquire.settings/y_units_per_px",
-    },
-    "UNCLEAR": {
-        "fun": "load_from",
-        "terms": "metadata/MultiAcquire.settings/y_shift_delay",
-    },
-    "UNCLEAR": {
-        "fun": "load_from",
-        "terms": "metadata/MultiAcquire.settings/saturation_value",
-    },
-    "UNCLEAR": {"fun": "load_from", "terms": "metadata/MultiAcquire.settings/y_align"},
-    "UNCLEAR": {
-        "fun": "load_from",
-        "terms": "metadata/MultiAcquire.settings/stitch_spectra",
-    },
-    "UNCLEAR": {"fun": "load_from", "terms": "metadata/MultiAcquire.parameters/index"},
-    "UNCLEAR": {
-        "fun": "load_from",
-        "terms": "metadata/MultiAcquire.parameters/offset_x",
-    },
-    "UNCLEAR": {
-        "fun": "load_from",
-        "terms": "metadata/MultiAcquire.parameters/offset_y",
-    },
-    "UNCLEAR": {
-        "fun": "load_from",
-        "terms": "metadata/MultiAcquire.parameters/exposure_ms",
-    },
-    "UNCLEAR": "ms",
-    "UNCLEAR": {"fun": "load_from", "terms": "metadata/MultiAcquire.parameters/frames"},
-    "IGNORE": {"fun": "load_from", "terms": "title"},
-    "IGNORE": {"fun": "load_from", "terms": "session_id"},
-    "IGNORE": {"fun": "load_from", "terms": "session"},
-    "IGNORE": {"fun": "load_from", "terms": "category"},
-    "IGNORE": {"fun": "load_from", "terms": "version"},
-    "IGNORE": {"fun": "load_from", "terms": "modified"},
-    "IGNORE": {"fun": "load_from", "terms": "data_shape"},
-    "IGNORE": {"fun": "load_from", "terms": "data_dtype"},
-    "IGNORE": {"fun": "load_from", "terms": "collection_dimension_count"},
-    "IGNORE": {"fun": "load_from", "terms": "datum_dimension_count"},
-    "IGNORE": {"fun": "convert_iso8601", "terms": ["data_modified", "timezone"]},
-    "UNCLEAR": {"fun": "load_from", "terms": "session/site"},
-}
-
-# {"fun": "convert_iso8601", "terms": ["created", "timezone"]}
diff --git a/pynxtools/dataconverter/readers/em_nion/reader.py b/pynxtools/dataconverter/readers/em_nion/reader.py
deleted file mode 100644
index d387b54e8..000000000
--- a/pynxtools/dataconverter/readers/em_nion/reader.py
+++ /dev/null
@@ -1,115 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Parser for loading generic orientation microscopy data based on ."""
-
-# pylint: disable=no-member
-
-from typing import Tuple, Any
-
-from pynxtools.dataconverter.readers.base.reader import BaseReader
-
-from pynxtools.dataconverter.readers.em_nion.utils.swift_define_io_cases import (
-    EmNionUseCaseSelector,
-)
-
-from pynxtools.dataconverter.readers.em_nion.utils.swift_load_generic_eln import (
-    NxEmNionElnSchemaParser,
-)
-
-from pynxtools.dataconverter.readers.em_nion.utils.swift_zipped_project_parser import (
-    NxEmNionSwiftProjectParser,
-)
-
-from pynxtools.dataconverter.readers.em_spctrscpy.utils.em_nexus_plots import (
-    em_spctrscpy_default_plot_generator,
-)
-
-
-class EmNionReader(BaseReader):
-    """Parse content from nionswift projects.
-
-    Specifically, electron microscopy
-    towards a NXem.nxdl-compliant NeXus file.
-    """
-
-    # pylint: disable=too-few-public-methods
-
-    # Whitelist for the NXDLs that the reader supports and can process
-    supported_nxdls = ["NXem"]
-
-    # pylint: disable=duplicate-code
-    def read(
-        self,
-        template: dict = None,
-        file_paths: Tuple[str] = None,
-        objects: Tuple[Any] = None,
-    ) -> dict:
-        """Read data from given file, return filled template dictionary em."""
-        # pylint: disable=duplicate-code
-        template.clear()
-
-        # this em_om parser combines multiple sub-parsers
-        # so we need the following input:
-        # logical analysis which use case
-        # data input from an ELN (using an ELN-agnostic) YAML representation
-        # data input from technology partner files, here zipped nionswift project
-        # directory and file renamed from ending with zip to nszip
-        # functionalities for creating default plots
-
-        entry_id = 1
-
-        print("Parse ELN and compressed nionswift project content...")
-        case = EmNionUseCaseSelector(file_paths)
-        if case.is_valid is False:
-            print("Such a combination of input-file(s, if any) is not supported !")
-            return {}
-
-        print("Parse (meta)data coming from an ELN...")
-        if case.eln_parser_type == "generic":
-            eln = NxEmNionElnSchemaParser(case.eln[0], entry_id)
-            eln.parse(template)
-        else:
-            print("No interpretable ELN input found!")
-            return {}
-
-        print("Parse (numerical) data and metadata from nionswift project...")
-        if case.prj_parser_type == "nionswift":
-            swift_parser = NxEmNionSwiftProjectParser(case.prj[0], entry_id)
-            swift_parser.parse(template)
-        else:
-            print("No input-file defined for technology partner data !")
-
-        # at this point the default plots exist already
-        # we only need to decorate the template to point to the mandatory ROI overview
-        print("Create NeXus default plottable data...")
-        em_spctrscpy_default_plot_generator(template, entry_id)
-
-        debugging = False
-        if debugging is True:
-            print("Reporting state of template before passing to HDF5 writing...")
-            for keyword in template.keys():
-                print(keyword)
-                # print(type(template[keyword]))
-                # print(f"{keyword}, {template[keyword]}")
-
-        print("Forward instantiated template to the NXS writer...")
-        return template
-
-
-# This has to be set to allow the convert script to use this reader.
-READER = EmNionReader
diff --git a/pynxtools/dataconverter/readers/em_nion/utils/em_nion_versioning.py b/pynxtools/dataconverter/readers/em_nion/utils/em_nion_versioning.py
deleted file mode 100644
index 28bf202c6..000000000
--- a/pynxtools/dataconverter/readers/em_nion/utils/em_nion_versioning.py
+++ /dev/null
@@ -1,34 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Utility tool constants and versioning."""
-
-# pylint: disable=no-member
-
-from pynxtools.dataconverter.readers.shared.shared_utils import get_repo_last_commit
-
-
-NX_EM_NION_ADEF_NAME = "NXem"
-NX_EM_NION_ADEF_VERSION = (
-    "nexus-fairmat-proposal successor of " "9636feecb79bb32b828b1a9804269573256d7696"
-)
-# based on https://fairmat-experimental.github.io/nexus-fairmat-proposal
-NX_EM_NION_EXEC_NAME = "dataconverter/reader/em_nion/reader.py"
-NX_EM_NION_EXEC_VERSION = get_repo_last_commit()
-
-NX_EM_NION_SWIFT_NAME = "nionswift"
-NX_EM_NION_SWIFT_VERSION = "0.16.8"
diff --git a/pynxtools/dataconverter/readers/em_nion/utils/swift_define_io_cases.py b/pynxtools/dataconverter/readers/em_nion/utils/swift_define_io_cases.py
deleted file mode 100644
index f729d4df7..000000000
--- a/pynxtools/dataconverter/readers/em_nion/utils/swift_define_io_cases.py
+++ /dev/null
@@ -1,84 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Utility class handling which community/technology partner files for em_nion reader."""
-
-# pylint: disable=no-member,duplicate-code,too-few-public-methods
-
-from typing import Tuple, Dict, List
-
-
-class EmNionUseCaseSelector:
-    """Decision maker about what needs to be parsed given arbitrary input.
-
-    Users might invoke this dataconverter with arbitrary input, no input, or
-    too much input. The UseCaseSelector decides what to do in each case.
-    """
-
-    def __init__(self, file_paths: Tuple[str] = None):
-        """Analyze with which parser(s) (if any) input can be handled."""
-        self.mime_types: Dict[str, list] = {}
-        self.eln_parser_type: str = "none"
-        self.eln: List[str] = []
-        self.prj_parser_type: str = "none"
-        self.prj: List[str] = []
-        self.is_valid = False
-
-        self.analyze_mime_types(file_paths)
-        self.identify_case()
-
-    def analyze_mime_types(self, file_paths: Tuple[str] = None):
-        """Accept/reject and organize input-files based on mime-type."""
-        self.supported_mime_types = ["yaml", "yml", "nionswift"]
-        for mime_type in self.supported_mime_types:
-            self.mime_types[mime_type] = []
-        for file_name in file_paths:
-            index = file_name.lower().rfind(".")
-            if index >= 0:
-                suffix = file_name.lower()[index + 1 : :]
-                add = (suffix in self.supported_mime_types) and (
-                    file_name not in self.mime_types[suffix]
-                )
-                if add is True:
-                    self.mime_types[suffix].append(file_name)
-        print(self.mime_types)
-
-    def identify_case(self):
-        """Identify which sub-parsers to use if any based on input mime_types."""
-        # eln
-        self.is_valid = False
-        for mime_type in ["yaml", "yml"]:
-            self.eln += self.mime_types[mime_type]
-        if len(self.eln) == 1:
-            self.eln_parser_type = "generic"
-            self.is_valid = True
-        else:
-            self.eln_parser_type = "none"
-
-        if "nionswift" in self.mime_types:
-            if len(self.mime_types["nionswift"]) == 1:
-                self.prj += self.mime_types["nionswift"]
-                self.prj_parser_type = "nionswift"
-            else:
-                self.is_valid = False
-
-        print("Input suggests to use the following sub-parsers:")
-        print(f"ELN parser: {self.eln_parser_type}")
-        print(self.eln)
-        print(f"Data parser: {self.prj_parser_type}")
-        print(self.prj)
-        print(f"Input suggests that parsing is valid: {self.is_valid}")
diff --git a/pynxtools/dataconverter/readers/em_nion/utils/swift_generate_dimscale_axes.py b/pynxtools/dataconverter/readers/em_nion/utils/swift_generate_dimscale_axes.py
deleted file mode 100644
index ae439b666..000000000
--- a/pynxtools/dataconverter/readers/em_nion/utils/swift_generate_dimscale_axes.py
+++ /dev/null
@@ -1,65 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Utility for creating list of numpy arrays with dimension scale axes values."""
-
-# pylint: disable=no-member
-
-from typing import List, Any
-
-import numpy as np
-
-from pynxtools.dataconverter.readers.em_nion.map_concepts.swift_display_items_to_nx import (
-    metadata_constraints,
-    check_existence_of_required_fields,
-)  # nexus_concept_dict
-
-
-def get_list_of_dimension_scale_axes(dct: dict) -> list:  # , concept_key: str
-    """Create a list of dimension scale axes value, unit tuples."""
-    # use only when we know already onto which concept a display_item will be mapped
-    axes: List[Any] = []
-    if check_existence_of_required_fields(dct, metadata_constraints) is False:
-        return axes
-    #        or concept_key not in nexus_concept_dict.keys():
-    # if nexus_concept_dict[concept_key] is None:
-    #     return axes
-    if len(dct["dimensional_calibrations"]) != len(dct["data_shape"]):
-        return axes
-
-    print(dct["dimensional_calibrations"])
-    print(dct["data_shape"])
-
-    for idx in np.arange(0, len(dct["dimensional_calibrations"])):
-        nvalues = dct["data_shape"][idx]
-        axis_dict = dct["dimensional_calibrations"][idx]
-        if isinstance(nvalues, int) and isinstance(axis_dict, dict):
-            if (nvalues > 0) and (
-                set(axis_dict.keys()) == set(["offset", "scale", "units"])
-            ):
-                start = axis_dict["offset"] + 0.5 * axis_dict["scale"]
-                stop = axis_dict["offset"] + ((nvalues - 1) + 0.5) * axis_dict["scale"]
-                axes.append(
-                    {
-                        "value": np.asarray(
-                            np.linspace(start, stop, num=nvalues, endpoint=True),
-                            np.float64,
-                        ),
-                        "unit": axis_dict["units"],
-                    }
-                )
-    return axes
diff --git a/pynxtools/dataconverter/readers/em_nion/utils/swift_load_generic_eln.py b/pynxtools/dataconverter/readers/em_nion/utils/swift_load_generic_eln.py
deleted file mode 100644
index dcf7394d2..000000000
--- a/pynxtools/dataconverter/readers/em_nion/utils/swift_load_generic_eln.py
+++ /dev/null
@@ -1,177 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Parse data from custom schema YAML file onto NeXus concept instances in NXem."""
-
-# pylint: disable=no-member
-
-import numpy as np
-
-import flatdict as fd
-
-import yaml
-
-from ase.data import chemical_symbols
-
-from pynxtools.dataconverter.readers.em_nion.utils.em_nion_versioning import (
-    NX_EM_NION_ADEF_NAME,
-    NX_EM_NION_ADEF_VERSION,
-)
-
-from pynxtools.dataconverter.readers.em_nion.utils.em_nion_versioning import (
-    NX_EM_NION_EXEC_NAME,
-    NX_EM_NION_EXEC_VERSION,
-)
-
-from pynxtools.dataconverter.readers.shared.map_concepts.mapping_functors import (
-    apply_modifier,
-    variadic_path_to_specific_path,
-)
-
-from pynxtools.dataconverter.readers.em_nion.map_concepts.swift_eln_to_nx_map import (
-    NxEmElnInput,
-    NxUserFromListOfDict,
-    NxDetectorListOfDict,
-    NxSample,
-)
-
-
-class NxEmNionElnSchemaParser:
-    """Parse eln_data.yaml dump file content generated from a NOMAD OASIS YAML.
-
-    The functionalities in this ELN YAML parser do not check if the
-    instantiated template yields an instance which is compliant NXapm.
-    Instead, this task is handled by the generic part of the dataconverter
-    during the verification of the template dictionary.
-    """
-
-    def __init__(self, file_name: str, entry_id: int):
-        print(f"Extracting data from ELN file: {file_name}")
-        if (
-            file_name.rsplit("/", 1)[-1].startswith("eln_data")
-            or file_name.startswith("eln_data")
-        ) and entry_id > 0:
-            self.entry_id = entry_id
-            self.file_name = file_name
-            with open(self.file_name, "r", encoding="utf-8") as stream:
-                self.yml = fd.FlatDict(yaml.safe_load(stream), delimiter="/")
-        else:
-            self.entry_id = 1
-            self.file_name = ""
-            self.yml = {}
-
-    def parse_user_section(self, template: dict) -> dict:
-        """Copy data from user section into template."""
-        src = "user"
-        if src in self.yml.keys():
-            if isinstance(self.yml[src], list):
-                if all(isinstance(entry, dict) for entry in self.yml[src]) is True:
-                    user_id = 1
-                    # custom schema delivers a list of dictionaries...
-                    for user_dict in self.yml[src]:
-                        # ... for each of them inspect for fields mappable on NeXus
-                        identifier = [self.entry_id, user_id]
-                        # identifier to get instance NeXus path from variadic NeXus path
-                        # try to find all quantities on the left-hand side of the mapping
-                        # table and check if we can find these
-                        for nx_path, modifier in NxUserFromListOfDict.items():
-                            if (nx_path != "IGNORE") and (nx_path != "UNCLEAR"):
-                                trg = variadic_path_to_specific_path(
-                                    nx_path, identifier
-                                )
-                                res = apply_modifier(modifier, user_dict)
-                                if res is not None:
-                                    template[trg] = res
-                        user_id += 1
-        return template
-
-    def parse_sample_section(self, template: dict) -> dict:
-        """Copy data from sample section into template."""
-        src = "sample/atom_types"
-        trg = f"/ENTRY[entry{self.entry_id}]/{src}"
-        if "sample/atom_types" in self.yml.keys():
-            if (isinstance(self.yml[src], list)) and (len(self.yml[src]) >= 1):
-                atom_types_are_valid = True
-                for symbol in self.yml[src]:
-                    valid = (
-                        isinstance(symbol, str)
-                        and (symbol in chemical_symbols)
-                        and (symbol != "X")
-                    )
-                    if valid is False:
-                        atom_types_are_valid = False
-                        break
-                if atom_types_are_valid is True:
-                    template[trg] = ", ".join(list(self.yml[src]))
-
-        for nx_path, modifier in NxSample.items():
-            if (nx_path != "IGNORE") and (nx_path != "UNCLEAR"):
-                trg = variadic_path_to_specific_path(nx_path, [self.entry_id])
-                res = apply_modifier(modifier, self.yml)
-                if res is not None:
-                    template[trg] = res
-
-        return template
-
-    def parse_detector_section(self, template: dict) -> dict:
-        """Copy data from detector section into template."""
-        src = "em_lab/detector"
-        if src in self.yml.keys():
-            if isinstance(self.yml[src], list):
-                if all(isinstance(entry, dict) for entry in self.yml[src]) is True:
-                    detector_id = 1
-                    # custom schema delivers a list of dictionaries...
-                    for detector_dict in self.yml[src]:
-                        # ... for each of them inspect for fields mappable on NeXus
-                        identifier = [self.entry_id, detector_id]
-                        # identifier to get instance NeXus path from variadic NeXus path
-                        # try to find all quantities on the left-hand side of the mapping
-                        # table and check if we can find these
-                        for nx_path, modifier in NxDetectorListOfDict.items():
-                            if (nx_path != "IGNORE") and (nx_path != "UNCLEAR"):
-                                trg = variadic_path_to_specific_path(
-                                    nx_path, identifier
-                                )
-                                res = apply_modifier(modifier, detector_dict)
-                                if res is not None:
-                                    template[trg] = res
-                        detector_id += 1
-
-        return template
-
-    def parse_other_sections(self, template: dict) -> dict:
-        """Copy data from custom schema (excluding user, sample) into template."""
-        for nx_path, modifier in NxEmElnInput.items():
-            if (nx_path != "IGNORE") and (nx_path != "UNCLEAR"):
-                trg = variadic_path_to_specific_path(nx_path, [self.entry_id, 1])
-                res = apply_modifier(modifier, self.yml)
-                if res is not None:
-                    template[trg] = res
-        return template
-
-    def parse(self, template: dict) -> dict:
-        """Copy data from self into template the appdef instance."""
-        self.parse_user_section(template)
-        self.parse_detector_section(template)
-        self.parse_sample_section(template)
-        self.parse_other_sections(template)
-
-        debugging = False
-        if debugging is True:
-            for keyword, value in template.items():
-                print(f"{keyword}, {value}")
-        return template
diff --git a/pynxtools/dataconverter/readers/em_nion/utils/swift_uuid_to_file_name.py b/pynxtools/dataconverter/readers/em_nion/utils/swift_uuid_to_file_name.py
deleted file mode 100644
index 1ee9d9fb3..000000000
--- a/pynxtools/dataconverter/readers/em_nion/utils/swift_uuid_to_file_name.py
+++ /dev/null
@@ -1,40 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Create nionswift mapping from ns UUID to suffix used for identifying files in project."""
-
-# pylint: disable=no-member,too-many-instance-attributes
-
-import uuid
-
-# see https://github.com/nion-software/nionswift/blob/e95839c5602d009006ea88a648e5f78dc77c1ea4/
-# nion/swift/model/Profile.py line 146 and following
-
-
-def encode(uuid_: uuid.UUID, alphabet: str) -> str:
-    result = str()
-    uuid_int = uuid_.int
-    while uuid_int:
-        uuid_int, digit = divmod(uuid_int, len(alphabet))
-        result += alphabet[digit]
-    return result
-
-
-def uuid_to_file_name(data_item_uuid_str: str) -> str:
-    data_item_uuid_uuid = uuid.UUID(f"{data_item_uuid_str}")
-    return f'data_{encode(data_item_uuid_uuid, "ABCDEFGHIJKLMNOPQRSTUVWXYZ1234567890")}'
-    # 25 character results
diff --git a/pynxtools/dataconverter/readers/em_nion/utils/swift_zipped_project_parser.py b/pynxtools/dataconverter/readers/em_nion/utils/swift_zipped_project_parser.py
deleted file mode 100644
index 64d0aa494..000000000
--- a/pynxtools/dataconverter/readers/em_nion/utils/swift_zipped_project_parser.py
+++ /dev/null
@@ -1,411 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Parse display_items inside a zip file generated from compressing a swift project dir."""
-
-# pylint: disable=no-member
-
-# from typing import Dict, Any, List, Tuple
-
-import yaml
-
-import json
-
-import flatdict as fd
-
-import nion.swift.model.NDataHandler as nsnd
-
-import numpy as np
-
-import h5py
-
-from zipfile37 import ZipFile
-
-from pynxtools.dataconverter.readers.em_nion.utils.swift_uuid_to_file_name import (
-    uuid_to_file_name,
-)
-
-from pynxtools.dataconverter.readers.em_nion.utils.swift_generate_dimscale_axes import (
-    get_list_of_dimension_scale_axes,
-)
-
-from pynxtools.dataconverter.readers.em_nion.map_concepts.swift_display_items_to_nx import (
-    nexus_concept_dict,
-    identify_nexus_concept_key,
-)
-
-from pynxtools.dataconverter.readers.shared.map_concepts.mapping_functors import (
-    apply_modifier,
-    variadic_path_to_specific_path,
-)
-
-from pynxtools.dataconverter.readers.em_nion.map_concepts.swift_to_nx_image_real_space import (
-    NxImageRealSpaceDict,
-)
-
-from pynxtools.dataconverter.readers.em_nion.utils.em_nion_versioning import (
-    NX_EM_NION_SWIFT_NAME,
-    NX_EM_NION_SWIFT_VERSION,
-)
-from pynxtools.dataconverter.readers.em_nion.utils.em_nion_versioning import (
-    NX_EM_NION_EXEC_NAME,
-    NX_EM_NION_EXEC_VERSION,
-)
-
-
-class NxEmNionSwiftProjectParser:
-    """Parse NionSwift project file."""
-
-    def __init__(self, file_name, entry_id):
-        """Class wrapping swift parser."""
-        self.file_name = file_name
-        self.entry_id = entry_id
-        # counters which keep track of how many instances of NXevent_data_em have
-        # been instantiated, this implementation currently maps each display_items
-        # onto an own NXevent_data_em instance
-        self.event_data_written = False
-        self.event_data_em_id = 1
-        self.image_id = 1
-        self.spectrum_id = 1
-        self.proj_file_names = []
-        # assure that there is exactly one *.nsproj file only to parse from
-        self.ndata_file_dict = {}
-        # just get the *.ndata files irrespective whether they will be parsed later
-        self.hdf_file_dict = {}
-        # just get the *.h5 files irrespective whether they will be interpreted
-
-    def check_project_file(self):
-        """Inspect the content of the compressed project file to check if supported."""
-        # file_name = "2022-02-18_Metadata_Kuehbach.zip.nionswift"
-        with ZipFile(self.file_name) as zip_file_hdl:
-            for file in zip_file_hdl.namelist():
-                if file.endswith(".h5"):
-                    key = file[file.rfind("/") + 1 :].replace(".h5", "")
-                    if key not in self.hdf_file_dict:
-                        self.hdf_file_dict[key] = file
-                elif file.endswith(".ndata"):
-                    key = file[file.rfind("/") + 1 :].replace(".ndata", "")
-                    if key not in self.ndata_file_dict:
-                        self.ndata_file_dict[key] = file
-                elif file.endswith(".nsproj"):
-                    self.proj_file_names.append(file)
-                else:
-                    continue
-        if not self.ndata_file_dict.keys().isdisjoint(self.hdf_file_dict.keys()):
-            print("Keys of *.ndata and *.h5 files in project are not disjoint!")
-            return False
-        if len(self.proj_file_names) != 1:
-            print("The project contains either no or more than one nsproj file!")
-            return False
-        print(self.proj_file_names)
-        for key, val in self.ndata_file_dict.items():
-            print(f"{key}, {val}")
-        for key, val in self.hdf_file_dict.items():
-            print(f"{key}, {val}")
-        return True
-
-    def add_nx_image_real_space(self, meta, arr, template):
-        """Add data and metadata for an instance of concept NxImageRealSpace."""
-        # metadata
-        identifier = [self.entry_id, self.event_data_em_id, self.image_id]
-        for nx_path, modifier in NxImageRealSpaceDict.items():
-            if (nx_path != "IGNORE") and (nx_path != "UNCLEAR"):
-                # print(nx_path)
-                # instance_identifier = list(np.repeat(1, nx_path.count("*")))
-                # print(instance_identifier)
-                trg = variadic_path_to_specific_path(nx_path, identifier)
-                # print(trg)
-                template[trg] = apply_modifier(modifier, meta)
-
-        # array data
-        axes_lst = get_list_of_dimension_scale_axes(meta)
-        # print(axes_lst)
-
-        axes_names = [
-            ("axis_image_identifier", "image_identifier", 2),
-            ("axis_y", "y", 1),
-            ("axis_x", "x", 0),
-        ]
-        print(
-            f"Add NXdata len(axes_lst) {len(axes_lst)}, len(axes_names) {len(axes_names)}"
-        )
-        if 2 <= len(axes_lst) <= len(axes_names):
-            trg = (
-                f"/ENTRY[entry{self.entry_id}]/measurement/EVENT_DATA_EM[event_data_em"
-                f"{self.event_data_em_id}]/IMAGE_SET[image_set{self.image_id}]/"
-                f"PROCESS[process]"
-            )
-            template[f"{trg}/source"] = "n/a"
-            template[f"{trg}/source/@version"] = "n/a"
-            template[f"{trg}/PROGRAM[program1]/program"] = (
-                f"We do not know because the nsproj file does not store it explicitly "
-                f"which nionswift version and dependencies are used when writing "
-                f"the nsproj file!"
-            )
-            template[f"{trg}/PROGRAM[program1]/program/@version"] = "not recoverable"
-            template[f"{trg}/PROGRAM[program2]/program"] = f"{NX_EM_NION_SWIFT_NAME}"
-            template[
-                f"{trg}/PROGRAM[program2]/program/@version"
-            ] = f"{NX_EM_NION_SWIFT_VERSION}"
-            template[f"{trg}/PROGRAM[program3]/program"] = f"{NX_EM_NION_EXEC_NAME}"
-            template[
-                f"{trg}/PROGRAM[program3]/program/@version"
-            ] = f"{NX_EM_NION_EXEC_VERSION}"
-
-            trg = (
-                f"/ENTRY[entry{self.entry_id}]/measurement/EVENT_DATA_EM[event_data_em"
-                f"{self.event_data_em_id}]/IMAGE_SET[image_set{self.image_id}]/DATA[stack]"
-            )
-            template[
-                f"{trg}/@NX_class"
-            ] = "NXdata"  # ##TODO one should not need to add this manually
-            template[f"{trg}/title"] = str("Should come from NionSwift directly")
-            template[f"{trg}/@signal"] = "data_counts"
-            template[f"{trg}/@axes"] = ["axis_image_identifier", "axis_y", "axis_x"]
-            for idx in np.arange(0, 3):
-                template[
-                    f"{trg}/@AXISNAME_indices[{axes_names[idx][0]}_indices]"
-                ] = np.uint32(axes_names[idx][2])
-            # the following three lines would be required by H5Web to plot RGB maps
-            # template[f"{trg}/@CLASS"] = "IMAGE"
-            # template[f"{trg}/@IMAGE_VERSION"] = "1.2"
-            # template[f"{trg}/@SUBCLASS_VERSION"] = np.int64(15)
-
-            if len(axes_lst) == 2:
-                ny, nx = np.shape(arr)
-                template[f"{trg}/data_counts"] = {
-                    "compress": np.reshape(arr, (1, ny, nx), order="C"),
-                    "strength": 1,
-                }
-                template[f"{trg}/data_counts/@long_name"] = "Signal"
-                # no image_identifier axis available
-                template[f"{trg}/AXISNAME[{axes_names[0][0]}]"] = {
-                    "compress": np.asarray([1], np.uint32),
-                    "strength": 1,
-                }
-                template[
-                    f"{trg}/AXISNAME[{axes_names[0][0]}]/@long_name"
-                ] = f"Image identifier (a. u.)"
-                template[f"{trg}/AXISNAME[{axes_names[0][0]}]/@units"] = ""
-                for idx in [1, 2]:
-                    template[f"{trg}/AXISNAME[{axes_names[idx][0]}]"] = {
-                        "compress": axes_lst[idx - 1]["value"],
-                        "strength": 1,
-                    }
-                    template[f"{trg}/AXISNAME[{axes_names[idx][0]}]/@long_name"] = (
-                        f"Calibrated position along {axes_names[idx][1]}-axis "
-                        f"({axes_lst[idx - 1]['unit']})"
-                    )
-                    template[
-                        f"{trg}/AXISNAME[{axes_names[idx][0]}]/@units"
-                    ] = f"{axes_lst[idx - 1]['unit']}"
-            else:  # len(axes_lst) == 3
-                template[f"{trg}/data_counts"] = {"compress": arr, "strength": 1}
-                for idx in [0, 1, 2]:
-                    # TODO check that casting works properly
-                    template[f"{trg}/AXISNAME[{axes_names[idx][0]}]"] = {
-                        "compress": np.asarray(axes_lst[idx]["value"], np.uint32),
-                        "strength": 1,
-                    }
-                    template[f"{trg}/AXISNAME[{axes_names[idx][0]}]/@long_name"] = (
-                        f"Calibrated position along {axes_names[idx][1]}-axis "
-                        f"({axes_lst[idx]['unit']})"
-                    )
-                    template[
-                        f"{trg}/AXISNAME[{axes_names[idx][0]}]/@units"
-                    ] = f"{axes_lst[idx]['unit']}"
-
-        self.image_id += 1
-        self.event_data_written = True
-        return template
-
-    def update_event_identifier(self):
-        """Advance and reset bookkeeping of event data em and data instances."""
-        if self.event_data_written is True:
-            self.event_data_em_id += 1
-            self.event_data_written = False
-        self.image_id = 1
-        self.spectrum_id = 1
-        # because either we found that the display item is fed from an H5 or from an NDATA
-        # print(f"Identifier at {self.entry_id}, {self.event_data_em_id}, {self.image_id}, {self.spectrum_id}")
-
-    def map_to_nexus(self, meta, arr, concept_name, template):
-        """Create the actual instance of a specific set of NeXus concepts in template."""
-        # meta is an flatdict
-        # arr is a numpy array
-        if concept_name == "NxImageSetRealSpace":
-            print(f"Adding an instance of concept {concept_name}")
-            self.add_nx_image_real_space(meta, arr, template)
-        else:
-            print(f"Ignoring concept {concept_name} because not yet implemented")
-
-        self.update_event_identifier()
-        return template
-
-    def process_ndata(self, file_hdl, full_path, template):
-        """Handle reading and processing of opened *.ndata inside the ZIP file."""
-        # assure that we start reading that file_hdl/pointer from the beginning...
-        file_hdl.seek(0)
-        local_files, dir_files, eocd = nsnd.parse_zip(file_hdl)
-        # ...now that pointer might point somewhere...
-        flat_metadata_dict = {}
-        data_arr = None
-        nx_concept_name = ""
-
-        for offset, tpl in local_files.items():
-            # print(f"{tpl}")
-            if tpl[0] == b"metadata.json":
-                print(f"Extract metadata.json from {full_path} at offset {offset}")
-                # ... explicit jump back to beginning of the file
-                file_hdl.seek(0)
-                metadata_dict = nsnd.read_json(
-                    file_hdl, local_files, dir_files, b"metadata.json"
-                )
-
-                nx_concept_key = identify_nexus_concept_key(metadata_dict)
-                nx_concept_name = nexus_concept_dict[nx_concept_key]
-                print(
-                    f"Display_item {full_path}, concept {nx_concept_key}, maps {nx_concept_name}"
-                )
-
-                flat_metadata_dict = fd.FlatDict(metadata_dict, delimiter="/")
-                break
-                # because we expect (based on Benedikt's example) to find only one json file
-                # in that *.ndata file pointed to by file_hdl
-
-        if flat_metadata_dict == {}:  # only continue if some metadata were retrieved
-            return template
-
-        for offset, tpl in local_files.items():
-            # print(f"{tpl}")
-            if tpl[0] == b"data.npy":
-                print(f"Extract data.npy from {full_path} at offset {offset}")
-                file_hdl.seek(0)
-                data_arr = nsnd.read_data(file_hdl, local_files, dir_files, b"data.npy")
-                break
-                # because we expect (based on Benedikt's example) to find only one npy file
-                # in that *.ndata file pointed to by file_hdl
-
-        print(f"data_arr type {data_arr.dtype}, shape {np.shape(data_arr)}")
-        # check on the integriety of the data_arr array that it is not None or empty
-        # this should be done more elegantly by just writing the
-        # data directly into the template and not creating another copy
-
-        self.map_to_nexus(flat_metadata_dict, data_arr, nx_concept_name, template)
-        del flat_metadata_dict
-        del data_arr
-        del nx_concept_name
-        return template
-
-    def process_hdf(self, file_hdl, full_path, template):
-        """Handle reading and processing of opened *.h5 inside the ZIP file."""
-        flat_metadata_dict = {}
-        data_arr = None
-        nx_concept_name = ""
-
-        file_hdl.seek(0)
-        h5r = h5py.File(file_hdl, "r")
-        metadata_dict = json.loads(h5r["data"].attrs["properties"])
-
-        nx_concept_key = identify_nexus_concept_key(metadata_dict)
-        nx_concept_name = nexus_concept_dict[nx_concept_key]
-        print(
-            f"Display_item {full_path}, concept {nx_concept_key}, maps {nx_concept_name}"
-        )
-
-        flat_metadata_dict = fd.FlatDict(metadata_dict, delimiter="/")
-
-        if flat_metadata_dict == {}:  # only continue if some metadata were retrieved
-            return template
-
-        data_arr = h5r["data"][()]
-        h5r.close()
-
-        print(f"data_arr type {data_arr.dtype}, shape {np.shape(data_arr)}")
-        # check on the integriety of the data_arr array that it is not None or empty
-        # this should be done more elegantly by just writing the
-        # data directly into the template and not creating another copy
-        self.map_to_nexus(flat_metadata_dict, data_arr, nx_concept_name, template)
-        del flat_metadata_dict
-        del data_arr
-        del nx_concept_name
-        return template
-
-    def parse_project_file(self, template: dict) -> dict:
-        """Parse lazily from compressed NionSwift project (nsproj + directory)."""
-        swift_proj_dict = {}
-        with ZipFile(self.file_name) as zip_file_hdl:
-            with zip_file_hdl.open(self.proj_file_names[0]) as file_hdl:
-                # with open(file_name, 'r') as stream:
-                swift_proj_dict = fd.FlatDict(yaml.safe_load(file_hdl), delimiter="/")
-                # for entry in swift_proj_dict["display_items"]:
-                #     if isinstance(entry, dict):
-                #         for key, val in entry.items():
-                #             print(f"{key}, {val}")
-        if swift_proj_dict == {}:
-            return template
-
-        for itm in swift_proj_dict["display_items"]:
-            if set(["type", "uuid", "created", "display_data_channels"]).issubset(
-                itm.keys()
-            ):
-                if len(itm["display_data_channels"]) == 1:
-                    if "data_item_reference" in itm["display_data_channels"][0].keys():
-                        key = uuid_to_file_name(
-                            itm["display_data_channels"][0]["data_item_reference"]
-                        )
-                        # file_name without the mime type
-                        if key in self.ndata_file_dict:
-                            print(
-                                f"Key {key} is *.ndata maps to {self.ndata_file_dict[key]}"
-                            )
-                            with ZipFile(self.file_name) as zip_file_hdl:
-                                print(f"Parsing {self.ndata_file_dict[key]}...")
-                                with zip_file_hdl.open(
-                                    self.ndata_file_dict[key]
-                                ) as file_hdl:
-                                    self.process_ndata(
-                                        file_hdl, self.ndata_file_dict[key], template
-                                    )
-                        elif key in self.hdf_file_dict:
-                            print(
-                                f"Key {key} is *.h5 maps to {self.hdf_file_dict[key]}"
-                            )
-                            with ZipFile(self.file_name) as zip_file_hdl:
-                                print(f"Parsing {self.hdf_file_dict[key]}...")
-                                with zip_file_hdl.open(
-                                    self.hdf_file_dict[key]
-                                ) as file_hdl:
-                                    self.process_hdf(
-                                        file_hdl, self.hdf_file_dict[key], template
-                                    )
-                        else:
-                            print(f"Key {key} has no corresponding data file")
-        return template
-
-    def parse(self, template: dict) -> dict:
-        """Parse NOMAD OASIS relevant data and metadata from swift project."""
-        print(
-            "Parsing lazily from compressed NionSwift project (nsproj + directory)..."
-        )
-        print(self.file_name)
-        print(f"{self.entry_id}")
-        if self.check_project_file() is False:
-            return template
-
-        self.parse_project_file(template)
-        return template
diff --git a/pynxtools/dataconverter/readers/em_om/README.md b/pynxtools/dataconverter/readers/em_om/README.md
deleted file mode 100644
index 0c6edd7b8..000000000
--- a/pynxtools/dataconverter/readers/em_om/README.md
+++ /dev/null
@@ -1,11 +0,0 @@
-# em_om reader
-
-## Purpose
-Parse data from orientation imaging microscopy and microstructures.
-
-## TODO
-* Add description specific for OIM
-* Remove the focus of the README.md on the NOMAD OASIS product
-
-## Contact person for this reader
-Markus Kühbach
\ No newline at end of file
diff --git a/pynxtools/dataconverter/readers/em_om/__init__.py b/pynxtools/dataconverter/readers/em_om/__init__.py
deleted file mode 100644
index e69de29bb..000000000
diff --git a/pynxtools/dataconverter/readers/em_om/reader.py b/pynxtools/dataconverter/readers/em_om/reader.py
deleted file mode 100644
index bbe4c7df0..000000000
--- a/pynxtools/dataconverter/readers/em_om/reader.py
+++ /dev/null
@@ -1,152 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Parser for loading generic orientation microscopy data based on ."""
-
-# pylint: disable=no-member
-
-from typing import Tuple, Any
-
-from pynxtools.dataconverter.readers.base.reader import BaseReader
-
-from pynxtools.dataconverter.readers.em_om.utils.use_case_selector import (
-    EmOmUseCaseSelector,
-)
-
-from pynxtools.dataconverter.readers.em_om.utils.generic_eln_io import (
-    NxEmOmGenericElnSchemaParser,
-)
-
-from pynxtools.dataconverter.readers.em_om.utils.orix_ebsd_parser import (
-    NxEmOmOrixEbsdParser,
-)
-
-from pynxtools.dataconverter.readers.em_om.utils.mtex_ebsd_parser import (
-    NxEmOmMtexEbsdParser,
-)
-
-from pynxtools.dataconverter.readers.em_om.utils.zip_ebsd_parser import (
-    NxEmOmZipEbsdParser,
-)
-
-from pynxtools.dataconverter.readers.em_om.utils.dream3d_ebsd_parser import (
-    NxEmOmDreamThreedEbsdParser,
-)
-
-from pynxtools.dataconverter.readers.em_om.utils.em_nexus_plots import (
-    em_om_default_plot_generator,
-)
-
-
-class EmOmReader(BaseReader):
-    """Parse content from file formats of the electron-backscatter community.
-
-    Specifically, electron microscopy
-    towards a NXem_ebsd.nxdl-compliant NeXus file.
-    """
-
-    # pylint: disable=too-few-public-methods
-
-    # Whitelist for the NXDLs that the reader supports and can process
-    supported_nxdls = ["NXem_ebsd"]  # how to combine with "NXem"?
-
-    # pylint: disable=duplicate-code
-    def read(
-        self,
-        template: dict = None,
-        file_paths: Tuple[str] = None,
-        objects: Tuple[Any] = None,
-    ) -> dict:
-        """Read data from given file, return filled template dictionary em."""
-        # pylint: disable=duplicate-code
-        template.clear()
-
-        # this em_om parser combines multiple sub-parsers
-        # so we need the following input:
-        # logical analysis which use case
-        # data input from an ELN (using an ELN-agnostic) YAML representation
-        # data input from technology partner files
-        # functionalities for creating default plots
-
-        entry_id = 1
-        # if len(file_paths) != 2:
-        #     print("Generation of example data not implemented yet...!")
-        #     return {}
-
-        print("Parse ELN and technology partner file(s)...")
-        case = EmOmUseCaseSelector(file_paths)
-        if case.is_valid is False:
-            print("Such a combination of input-file(s, if any) is not supported !")
-            return {}
-
-        print("Parse (meta)data coming from an ELN...")
-        if case.eln_parser_type == "generic":
-            pattern_simulation = False
-            if case.dat_parser_type == "zip":
-                pattern_simulation = True
-            eln = NxEmOmGenericElnSchemaParser(
-                case.eln[0], entry_id, pattern_simulation
-            )
-            eln.parse(template)
-        else:
-            print("No interpretable ELN input found!")
-            return {}
-
-        print("Parse (numerical) data and metadata from technology partner files...")
-        if case.dat_parser_type == "orix":
-            orix_parser = NxEmOmOrixEbsdParser(case.dat[0], entry_id)
-            # h5oina parser evaluating content and plotting with orix on the fly
-            orix_parser.parse(template)
-        elif case.dat_parser_type == "mtex":
-            mtex_parser = NxEmOmMtexEbsdParser(case.dat[0], entry_id)
-            # ebsd parser because concept suggested for MTex by M. Kühbach
-            # would include different HDF5 dumps for different MTex classes
-            mtex_parser.parse(template)
-        elif case.dat_parser_type == "zip":
-            zip_parser = NxEmOmZipEbsdParser(case.dat[0], entry_id)
-            zip_parser.parse(template)
-        elif case.dat_parser_type == "dream3d":
-            dream_parser = NxEmOmDreamThreedEbsdParser(case.dat[0], entry_id)
-            dream_parser.parse(template)
-        # elif case.dat_parser_type == "kikuchipy":
-        # elif case.dat_parser_type == "pyxem":
-        # elif case.dat_parser_type == "score":
-        # elif case.dat_parser_type == "qube":
-        # elif case.dat_parser_type == "paradis":
-        # elif case.dat_parser_type == "brinckmann":
-        else:
-            print("No input-file defined for technology partner data !")
-
-        # at this point the default plots exist already
-        # we only need to decorate the template to point to the mandatory ROI overview
-        print("Create NeXus default plottable data...")
-        em_om_default_plot_generator(template, 1)
-
-        debugging = False
-        if debugging is True:
-            print("Reporting state of template before passing to HDF5 writing...")
-            for keyword in template.keys():
-                print(keyword)
-                # print(type(template[keyword]))
-                # print(template[keyword])
-
-        print("Forward instantiated template to the NXS writer...")
-        return template
-
-
-# This has to be set to allow the convert script to use this reader.
-READER = EmOmReader
diff --git a/pynxtools/dataconverter/readers/em_om/utils/__init__.py b/pynxtools/dataconverter/readers/em_om/utils/__init__.py
deleted file mode 100644
index e69de29bb..000000000
diff --git a/pynxtools/dataconverter/readers/em_om/utils/dream3d_ebsd_parser.py b/pynxtools/dataconverter/readers/em_om/utils/dream3d_ebsd_parser.py
deleted file mode 100644
index 020c69615..000000000
--- a/pynxtools/dataconverter/readers/em_om/utils/dream3d_ebsd_parser.py
+++ /dev/null
@@ -1,404 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Parse three-dimensional EBSD data from a DREAM3D file."""
-
-# pylint: disable=no-member,too-many-instance-attributes
-
-# type: ignore
-
-# from typing import Dict, Any, List, Tuple
-
-import yaml
-
-import numpy as np
-
-import h5py
-
-# import imageio.v3 as iio
-from PIL import Image as pil
-
-# from pynxtools.dataconverter.readers.em_om.utils.dream3d_filter_class \
-#     import DreamThreedFilter
-
-from pynxtools.dataconverter.readers.em_om.utils.image_transform import thumbnail
-
-from pynxtools.dataconverter.readers.em_om.utils.em_nexus_plots import (
-    HFIVE_WEB_MAX_SIZE,
-)
-
-
-class NxEmOmDreamThreedEbsdParser:
-    """Parse DREAM3D EBSD data."""
-
-    def __init__(self, file_name, entry_id):
-        """Class wrapping dream3d parser."""
-        # this is one example which should be extended to interpretation of more
-        # DREAM3D filter, currently though all these filter and the DREAM.3D software
-        # experiences major refactoring associated with the introduction of DREAM3DNX
-        self.file_name = file_name
-        self.entry_id = entry_id
-        self.pipeline = {}
-        # the dictionary nest in DREAM.3D SIMPL pipeline notation
-        self.stack_meta = {}
-        self.stack = []
-        self.roi = []
-        self.xyz = {}
-        self.phase_id = []
-        self.phases = {}
-
-    def parse_pipeline(self):
-        """Parse and understand pipeline json description of the dream3d file."""
-        h5r = h5py.File(self.file_name, "r")
-        dsnm = "Pipeline/Pipeline"
-        if dsnm in h5r:
-            self.pipeline = yaml.safe_load(h5r[dsnm][()].decode("utf-8"))
-        h5r.close()
-
-        print(self.pipeline)
-        # add all logical understanding of the pipeline steps
-        # ##MK::should be extended
-
-    def parse_roi_geometry(self):
-        """Parse the geometry of the 3D dataset ##MK::assuming that it exists."""
-        # NEW ISSUE: this is an example how to parse 3D reconstructed EBSD data
-        # from the older version of DREAM.3D (not for DREAM.3D NX) maps on NXem_ebsd
-
-        h5r = h5py.File(self.file_name, "r")
-
-        grpnm = "/DataContainers/Small IN100/_SIMPL_GEOMETRY"
-        # NEW ISSUE: interpret from filter!
-        has_required_metadata = True
-        has_correct_shape = True
-        req_field_names = [
-            ("dims", "DIMENSIONS"),
-            ("origin", "ORIGIN"),
-            ("spacing", "SPACING"),
-        ]
-        for field_tuple in req_field_names:
-            if f"{grpnm}/{field_tuple[1]}" in h5r:
-                self.stack_meta[field_tuple[0]] = h5r[f"{grpnm}/{field_tuple[1]}"][...]
-                if np.shape(self.stack_meta[field_tuple[0]]) != (3,):
-                    has_correct_shape = False
-            else:
-                has_required_metadata = False
-
-        if (has_required_metadata is True) and (has_correct_shape is True):
-            grpnm = "/DataContainers/Small IN100/EBSD Scan Data"
-
-            dsnm = f"{grpnm}/Phases"
-            self.phase_id = np.asarray(h5r.get(dsnm)[...], np.uint32)
-            # DREAM.3D stores int32_t but only >= 0 ##?, we can silently promote to uint32
-
-            dsnm = f"{grpnm}/Image Quality"
-            self.roi = np.asarray(h5r.get(dsnm)[...], np.float32)
-
-            dsnm = f"{grpnm}/IPFColor"
-            self.stack = np.asarray(h5r.get(dsnm)[...], np.uint8)  # RGB triplet
-            # if len(np.shape(self.stack)) == 4:
-            #     for i in np.arange(0, 3):
-            #         if np.shape(self.stack)[i] >= 1:
-            # if np.shape(self.stack)[3] == 3:
-            print(np.shape(self.roi))
-            print(np.shape(self.phase_id))
-            print(np.shape(self.stack))
-
-            # NEW ISSUE: more consistence checks that sizes and shapes match
-
-        h5r.close()
-
-    def parse_roi_dimension_scale_axes(self):
-        """Create correctly calibrated dimension scale axes center-of-mass arrays."""
-        axes_names = [(0, "x"), (1, "y"), (2, "z")]
-        self.xyz = {}
-        for axisname in axes_names:
-            i = axisname[0]
-            # self.xyz[axisname[1]] = np.asarray(np.linspace(self.stack_meta["origin"][i],
-            #     self.stack_meta["origin"][i] + self.stack_meta["dims"][i] \
-            #     * self.stack_meta["spacing"][i], num=self.stack_meta["dims"][i],
-            #     endpoint=True), np.float32)  # DREAM.3D uses single precision
-            self.xyz[axisname[1]] = np.asarray(
-                np.linspace(
-                    self.stack_meta["origin"][i],
-                    self.stack_meta["origin"][i]
-                    + self.stack_meta["dims"][i] * self.stack_meta["spacing"][i],
-                    num=self.stack_meta["dims"][i],
-                    endpoint=True,
-                ),
-                np.float32,
-            )  # DREAM.3D uses single precision
-
-        # endpoint true? voxel center or its min or max bound?
-
-    def parse_roi_default_plot(self, template: dict) -> dict:
-        """Create default plot for the region-of-interest."""
-        trg = f"/ENTRY[entry{self.entry_id}]/correlation/region_of_interest/roi"
-        template[f"{trg}/title"] = str("Region-of-interest overview image")
-        template[f"{trg}/@signal"] = "data"
-        # template[f"{trg}/@axes"] = ["axis_x", "axis_y", "axis_z"]
-        template[f"{trg}/@axes"] = ["axis_z", "axis_y", "axis_x"]
-        template[f"{trg}/@AXISNAME_indices[axis_x_indices]"] = np.uint32(0)
-        template[f"{trg}/@AXISNAME_indices[axis_y_indices]"] = np.uint32(1)
-        template[f"{trg}/@AXISNAME_indices[axis_z_indices]"] = np.uint32(2)
-
-        trg = f"/ENTRY[entry{self.entry_id}]/correlation/region_of_interest/roi/data"
-        template[f"{trg}"] = {"compress": self.roi[:, :, :, 0], "strength": 1}
-
-        template[f"{trg}/@long_name"] = "Signal"
-        template[f"{trg}/@CLASS"] = "IMAGE"  # required by H5Web to plot RGB maps
-        template[f"{trg}/@IMAGE_VERSION"] = "1.2"
-        template[f"{trg}/@SUBCLASS_VERSION"] = np.int64(15)
-
-        axes_names = [("axis_x", "x"), ("axis_y", "y"), ("axis_z", "z")]
-        for axisname in axes_names:
-            trg = (
-                f"/ENTRY[entry{self.entry_id}]/correlation/region_of_interest"
-                f"/roi/AXISNAME[{axisname[0]}]"
-            )
-            template[f"{trg}"] = {"compress": self.xyz[axisname[1]], "strength": 1}
-            template[
-                f"{trg}/@long_name"
-            ] = f"Calibrated position along {axisname[1]}-axis (µm)"
-            template[f"{trg}/@units"] = "µm"  # parse from filter!
-
-        return template
-
-    def parse_phases(self, template: dict) -> dict:
-        """Parse data for the crystal structure models aka phases."""
-        h5r = h5py.File(self.file_name, "r")
-        grpnm = "/DataContainers/Small IN100/Phase Data"  # NEW ISSUE: interpret from filter!
-        dsnm = f"{grpnm}/CrystalStructures"
-        phase_ids = h5r[dsnm][...].flatten()
-        print(phase_ids)
-        dsnm = f"{grpnm}/MaterialName"
-        phase_names = []
-        for phase_name in h5r[dsnm][...]:
-            phase_names.append(phase_name.decode("utf-8"))
-        print(phase_names)
-        dsnm = f"{grpnm}/LatticeConstants"
-        unit_cells = h5r[dsnm][...]
-        identifier = 0
-        if np.shape(phase_ids)[0] == np.shape(phase_names)[0]:
-            if np.shape(phase_ids)[0] == np.shape(unit_cells)[0]:
-                if np.shape(unit_cells)[1] == 6:
-                    # NEW ISSUE: assume first one is invalid
-                    identifier = 1
-
-        if identifier == 1:  # NEW ISSUE: extend for arbitrary number of phases
-            self.phases[identifier] = {}
-            self.phases[identifier]["name"] = phase_names[identifier]
-
-            trg = (
-                f"/ENTRY[entry{self.entry_id}]/correlation"
-                f"/EM_EBSD_CRYSTAL_STRUCTURE_MODEL"
-                f"[em_ebsd_crystal_structure_model{identifier}]"
-            )
-            template[f"{trg}/phase_identifier"] = np.uint32(identifier)
-            template[f"{trg}/phase_name"] = str(phase_names[identifier])
-            template[f"{trg}/unit_cell_abc"] = np.asarray(
-                [
-                    unit_cells[identifier, 0] * 0.1,
-                    unit_cells[identifier, 1] * 0.1,
-                    unit_cells[identifier, 2] * 0.1,
-                ],
-                np.float32,
-            )
-            # ##? DREAM.3D reports in angstroem but no units attribute in dream3d file!
-            template[f"{trg}/unit_cell_abc/@units"] = "nm"
-            template[f"{trg}/unit_cell_alphabetagamma"] = np.asarray(
-                [
-                    unit_cells[identifier, 3],
-                    unit_cells[identifier, 4],
-                    unit_cells[identifier, 5],
-                ],
-                np.float32,
-            )
-            # ##? DREAM.3D reports in degree
-            template[f"{trg}/unit_cell_alphabetagamma/@units"] = "°"
-
-        return template
-
-    def parse_inverse_pole_figures(self, template: dict) -> dict:
-        """Parse inverse pole figures (IPF) mappings."""
-        print("Parse inverse pole figures (IPFs)...")
-        # identifier match because phase is a list asc. sorted by numerical keys
-        # "first phase_id" in DREAM.3D and em_om is 1
-        for identifier in np.arange(1, np.max(self.phase_id) + 1):
-            self.parse_inverse_pole_figure_map(identifier, template)
-            self.parse_inverse_pole_figure_color_key(identifier, template)
-            identifier += 1
-
-        return template
-
-    def parse_inverse_pole_figure_map(self, identifier, template: dict) -> dict:
-        """Create default plot for the IPF-Z orientation mapping."""
-        phase_id = identifier
-        phase_name = self.phases[identifier]["name"]
-        print(
-            f"Generate inverse pole figure (IPF) map for {identifier}, {phase_name}..."
-        )
-
-        trg = f"/ENTRY[entry{self.entry_id}]/correlation/PROCESS[ipf_map{phase_id}]"
-        template[f"{trg}/bitdepth"] = np.uint32(8)
-        template[f"{trg}/phase_identifier"] = np.uint32(phase_id)
-        template[f"{trg}/phase_name"] = str(phase_name)
-        template[f"{trg}/PROGRAM[program1]/program"] = str("dream3d")
-        template[f"{trg}/PROGRAM[program1]/program/@version"] = "v6.5.163"
-        template[f"{trg}/projection_direction"] = np.asarray(
-            [0.0, 0.0, 1.0], np.float32
-        )
-
-        trg = (
-            f"/ENTRY[entry{self.entry_id}]/correlation"
-            f"/PROCESS[ipf_map{phase_id}]/ipf_rgb_map"
-        )
-        template[f"{trg}/title"] = str("DREAM.3D ROI inverse-pole-figure colored")
-        template[f"{trg}/@signal"] = "data"
-        # template[f"{trg}/@axes"] = ["axis_x", "axis_y", "axis_z"]
-        template[f"{trg}/@axes"] = ["axis_z", "axis_y", "axis_x"]
-        template[f"{trg}/@AXISNAME_indices[axis_x_indices]"] = np.uint32(0)
-        template[f"{trg}/@AXISNAME_indices[axis_y_indices]"] = np.uint32(1)
-        template[f"{trg}/@AXISNAME_indices[axis_z_indices]"] = np.uint32(2)
-        # check again order x, y, z ??
-
-        trg = (
-            f"/ENTRY[entry{self.entry_id}]/correlation"
-            f"/PROCESS[ipf_map{phase_id}]/ipf_rgb_map/data"
-        )
-        # NEW ISSUE: needs one more check if precise currently
-        ipf_map = np.asarray(np.zeros(np.shape(self.stack), np.uint8))  # 4d array
-        # msk = self.phase_id == phase_id
-        indices = np.shape(self.stack)
-        for i in np.arange(0, indices[0]):
-            for j in np.arange(0, indices[1]):
-                for k in np.arange(0, indices[2]):
-                    if self.phase_id[i, j, k, 0] == phase_id:
-                        ipf_map[i, j, k, 0:3] = self.stack[i, j, k, 0:3]
-        # likely this can be done with much fancy numpy nd indexing and more pythonic
-        # instead of this loop nest but this is right at least...
-        # needs a multi-dimensional masking of all values [x, y, z] check order...
-        # where self.phase_id[x, y, z] != phase_id set ipf_map[x, y, z, 0:3]
-        template[f"{trg}"] = {"compress": ipf_map, "strength": 1}
-
-        template[f"{trg}/@long_name"] = "Signal"
-        template[f"{trg}/@CLASS"] = "IMAGE"  # required by H5Web to plot RGB maps
-        template[f"{trg}/@IMAGE_VERSION"] = "1.2"
-        template[f"{trg}/@SUBCLASS_VERSION"] = np.int64(15)
-
-        axes_names = [("axis_x", "x"), ("axis_y", "y"), ("axis_z", "z")]
-        for axisname in axes_names:
-            trg = (
-                f"/ENTRY[entry{self.entry_id}]/correlation"
-                f"/PROCESS[ipf_map{phase_id}]/ipf_rgb_map/AXISNAME[{axisname[0]}]"
-            )
-            template[f"{trg}"] = {"compress": self.xyz[axisname[1]], "strength": 1}
-            template[
-                f"{trg}/@long_name"
-            ] = f"Calibrated position along {axisname[1]}-axis (µm)"
-            template[f"{trg}/@units"] = "µm"  # parse from filter!
-
-        return template
-
-    def parse_inverse_pole_figure_color_key(self, identifier, template: dict) -> dict:
-        """Parse color key renderings of inverse-pole-figure (IPF) mappings."""
-        # in DREAM.3D not_indexed phase is 0 and "first" phase has ID 1
-        # this is coincidently the convention which also this nomad-parser-nexus
-        # em_om reader uses
-        phase_id = identifier
-        phase_name = self.phases[identifier]["name"]
-        print(
-            f"Parse inverse pole figure (IPF) color key {identifier}, {phase_name}..."
-        )
-
-        # the key problem is that the DREAM.3D pipeline does not store the point group
-        # so we need to have a heuristic approach which selects the correct IPF
-        # color maps from the available default color mappings
-        # https://github.com/BlueQuartzSoftware/DREAM3D/tree/v6_5_163/Source/Plugins/
-        # OrientationAnalysis/Data/OrientationAnalysis/IPF_Legend
-        # DREAM.3D stores a library of prerendered color keys as image files
-        color_key_path = (__file__).replace(
-            "dream3d_ebsd_parser.py", "dream3d_v65163_color_keys"
-        )
-        color_key_file_name = f"{color_key_path}/Cubic_High.png"
-        # NEW ISSUE:must not be Cubic_High.png only, this holds only for this example!
-
-        # constraint further to 8bit RGB and no flipping
-        # im = np.asarray(imageio.v3.imread(symm_name))
-        img = np.asarray(
-            thumbnail(
-                pil.open(color_key_file_name, "r", ["png"]), size=HFIVE_WEB_MAX_SIZE
-            ),
-            np.uint8,
-        )
-        img = img[:, :, 0:3]  # discard potential alpha channel
-        # ##MK::need to constrain more the writing of the image that it is guaranteed
-        # a specific type of image and bitdepth and color model, and avoid implicit
-        # image transformations such as flips or rotations
-
-        trg = (
-            f"/ENTRY[entry{self.entry_id}]/correlation"
-            f"/PROCESS[ipf_map{phase_id}]/ipf_rgb_color_model"
-        )
-        template[f"{trg}/title"] = str("Inverse pole figure color key with SST")
-        template[f"{trg}/@signal"] = "data"
-        template[f"{trg}/@axes"] = ["axis_y", "axis_x"]
-        template[f"{trg}/@AXISNAME_indices[axis_x_indices]"] = np.uint32(0)
-        template[f"{trg}/@AXISNAME_indices[axis_y_indices]"] = np.uint32(1)
-        trg = (
-            f"/ENTRY[entry{self.entry_id}]/correlation"
-            f"/PROCESS[ipf_map{phase_id}]/ipf_rgb_color_model/DATA[data]"
-        )
-        template[f"{trg}"] = {"compress": img, "strength": 1}
-        template[f"{trg}/@CLASS"] = "IMAGE"
-        template[f"{trg}/@IMAGE_VERSION"] = "1.2"
-        template[f"{trg}/@SUBCLASS_VERSION"] = np.int64(15)
-
-        axes_names = [("axis_y", 0, "y-axis"), ("axis_x", 1, "x-axis")]
-        for axis in axes_names:
-            trg = (
-                f"/ENTRY[entry{self.entry_id}]/correlation/PROCESS[ipf_map{phase_id}]"
-                f"/ipf_rgb_color_model/AXISNAME[{axis[0]}]"
-            )
-            template[f"{trg}"] = {
-                "compress": np.asarray(
-                    np.linspace(
-                        1,
-                        np.shape(img)[axis[1]],
-                        num=np.shape(img)[axis[1]],
-                        endpoint=True,
-                    ),
-                    np.uint32,
-                ),
-                "strength": 1,
-            }
-            template[f"{trg}/@long_name"] = f"Pixel along {axis[2]}"
-            template[f"{trg}/@units"] = "px"
-
-        return template
-
-    def parse(self, template: dict) -> dict:
-        """Parse NOMAD OASIS relevant data and metadata from a DREAM.3D file."""
-        print("Parsing EBSD data from DREAM.3D...")
-        print(self.file_name)
-        print(f"{self.entry_id}")
-        self.parse_pipeline()
-        self.parse_roi_geometry()
-        self.parse_roi_dimension_scale_axes()
-        self.parse_roi_default_plot(template)
-        self.parse_phases(template)
-        self.parse_inverse_pole_figures(template)
-        return template
diff --git a/pynxtools/dataconverter/readers/em_om/utils/dream3d_filter_class.py b/pynxtools/dataconverter/readers/em_om/utils/dream3d_filter_class.py
deleted file mode 100644
index c1567cb22..000000000
--- a/pynxtools/dataconverter/readers/em_om/utils/dream3d_filter_class.py
+++ /dev/null
@@ -1,60 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Definition of DREAM3D SIMPL filters and their controlled vocabulary."""
-
-# pylint: disable=no-member,pointless-string-statement
-
-
-'''
-class DreamThreedFilter():
-    """Description of a filter/plug-in from DREAM.3D."""
-
-    def __init__(self, version="", name="", **kwargs):
-        # mandatory
-        self.version = ""
-        assert isinstance(version, str), "Argument version has to be a string!"
-        # assert version != "", "Version mandatory!"
-        self.version = version
-        self.name = ""
-        assert isinstance(name, str), "Argument name has to be a string!"
-        # assert name != "", "Name mandatory!"
-        self.name = name
-
-        # optional
-        self.human_label = ""
-        if "human_label" in kwargs:
-            self.human_label = kwargs["human_label"]
-        self.enabled = False
-        if "enabled" in kwargs:
-            self.enabled = kwargs["enabled"]
-        self.uuid = ""
-        if "uuid" in kwargs:
-            self.uuid = kwargs["uuid"]
-
-        # controlled flattened keywords
-        self.terms = {}
-        # if dct is not None:
-        #     for key in dct.keys():
-        #         self.terms[key] = "add something useful"
-        print(f"DREAM.3D filter instance, version {self.version}, name {self.name}")
-
-    def debug(self):
-        """Offer functionality testing"""
-        tmp = DreamThreedFilter(version="12", name="test")
-        print(f"DEBUG: {tmp.version}")
-'''
diff --git a/pynxtools/dataconverter/readers/em_om/utils/dream3d_v65163_color_keys/Cubic_High.png b/pynxtools/dataconverter/readers/em_om/utils/dream3d_v65163_color_keys/Cubic_High.png
deleted file mode 100644
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z-~a9ZV{g(B_YOhv#UkYI+`j$WB%_0-jYaIis7tG7!RY>}71zzgJn9~Eb34Z6B8bOQ
zp}OB3N$c)iMI~xA0UOfVr+?V&)_=<uTq8{jC8sP`R9y>KbZ!SYAaPOh?%SuJf~lf>
z*TKo*vjq3~+;Uy1OCmK)zHR@ssMNSk-fYw=X~>cl@Uvf(mDx3ByY^+JpHuE#C9I16
z2IrM>Sj+fXMB9Y~DKH!rQ=lW4*pBlfh+#eTbp1^dyeFF>`k{%hK(O#2BPz#vbtMzQ
zzR4osHY62Q==a0rp7~)v#t@#%7Azvz@y(kza8!T0jgh6k;nvU+xd<Cj4zGG7h#f|Z
z`mUw>$W1M4;a^zROANX6&U~)$$no`Wtep0!8)!Hfq>$^?_Bexn#eNy7cE>9H0NqM(
zZ#S=q@o{Ez5<jA>2O}Vg;eOxnyteNnvWA=+aYjgrH+cy5zH*)anC041!;cLRq*@RW
zAz<yQ@CM>B5^@~&@)&-oMW|-e*%h;asitN%81sbh!gYLaL6Z(7)&vpB^16+Tj4<2P
zf_a$$&1N4p2u>NpFc~8}<piI&&YqEuVXzdG7Uw1nzkMs=tdW@{a)!k1ZN(r*@X5#Z
z^7PRBbE9lT@Zpb@iNvTP!YN<a4HIft_x?+KCps}1ECZ#Quafs=bJL=zATq5*cA5RH
z>%LuAbut-IAl>z4v}SrIjf|g>R<iu^()on)69I8cg<xej2PAlZ$S1;lB?8S7b;n&s
zMtLLc(S6nCrp4$4uyjZIJGKGkq{Y?ZK?H92z)KGz6EpCG-jFoCvnB9X+Iiu`mb!>2
z{U)^=eg$H@)qEliYlR#%PsxfEM9?x&{o%o`Hw4{7$9Pww_xRnJx8!<ExPtp!=^;w@
zt8j!sbNX|mmbT~TACoPT4<N@1)-9rMXD`$!MEt~-2)T`j>~x|2DI!wpXE62MsOt{?
zS6=!G*D**`%Ix+ir+{xS*X(~<q?i<AR_*Yw@TV7NEoLLat*RaH<wy4_1oE1rqvU|>
z1R0RSSjN6;2U0e0T%1TvmjkaSbOrs@vCD?`Um3X`pOySnL}Z#J)yQDa|I<+SnD3{?
zhrj%^eBqYeGuCT9{AuF@vC-b*m&phHFP>W=*0J!*xsjiziTr!+j|<ZOaTOvz?&n{+
zoL0M_j2dHI{N~T0ss$p;YWFF*mshEsw{+UHNe~t9?>qHAGYu8qzTcC+BLeeCMC7M`
vPmQ9_l@(G^5q-ZO`<wQsK;8Q<zwp#_I}i2FnT)VJvP9|@6C>8<gMa=HvCYD?

diff --git a/pynxtools/dataconverter/readers/em_om/utils/em_nexus_plots.py b/pynxtools/dataconverter/readers/em_om/utils/em_nexus_plots.py
deleted file mode 100644
index 229b68dab..000000000
--- a/pynxtools/dataconverter/readers/em_om/utils/em_nexus_plots.py
+++ /dev/null
@@ -1,125 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Logic for annotating existent default plots in NXdata for NXem_ebsd for H5Web."""
-
-# pylint: disable=no-member
-
-HFIVE_WEB_MAX_SIZE = 2048
-
-
-def roi_plot_available(template: dict, entry_id: int) -> bool:
-    """Choose a preferred NXdata/data instance either the ROI or IPF map."""
-    # most interesting to show are three-dimensional orientation mappings ...
-    trg = f"/ENTRY[entry{entry_id}]/correlation/region_of_interest/roi/data"
-    if trg in template.keys():
-        print(f"Found image default plot for entry{entry_id}")
-        trg = "/"
-        template[f"{trg}@default"] = f"entry{entry_id}"
-        trg += f"ENTRY[entry{entry_id}]/"
-        template[f"{trg}@default"] = "correlation"
-        trg += "correlation/"
-        template[f"{trg}@default"] = "region_of_interest"
-        trg += "region_of_interest/"
-        template[f"{trg}@default"] = "roi"
-        return True
-
-    # fall-back display an IPF mapping
-    trg = f"/ENTRY[entry{entry_id}]/correlation/PROCESS[ipf_map1]/ipf_rgb_map/data"
-    # by definition if there is one it will be always the first one and we use this IPF map
-    if trg in template.keys():
-        print(f"Found image default plot for entry{entry_id}")
-        trg = "/"
-        template[f"{trg}@default"] = f"entry{entry_id}"
-        trg += f"ENTRY[entry{entry_id}]/"
-        template[f"{trg}@default"] = "correlation"
-        trg += "correlation/"
-        template[f"{trg}@default"] = "ipf_map1"
-        trg += "PROCESS[ipf_map1]/"
-        template[f"{trg}@default"] = "ipf_rgb_map"
-        return True
-
-    # ... but in most practical cases we have two-dimensional EBSD maps only...
-    trg = f"/ENTRY[entry{entry_id}]/experiment/indexing/region_of_interest/roi/data"
-    if trg in template.keys():
-        print(f"Found image default plot for entry{entry_id}")
-        trg = "/"
-        template[f"{trg}@default"] = f"entry{entry_id}"
-        trg += f"ENTRY[entry{entry_id}]/"
-        template[f"{trg}@default"] = "experiment"
-        trg += "experiment/"
-        template[f"{trg}@default"] = "indexing"
-        trg += "indexing/"
-        template[f"{trg}@default"] = "region_of_interest"
-        return True
-
-    # fall-back display an IPF mapping
-    trg = (
-        f"/ENTRY[entry{entry_id}]/experiment/indexing"
-        f"/PROCESS[ipf_map1]/ipf_rgb_map/data"
-    )
-    # by definition if there is one it will be always the first one and we use this IPF map
-    if trg in template.keys():
-        print(f"Found image default plot for entry{entry_id}")
-        trg = "/"
-        template[f"{trg}@default"] = f"entry{entry_id}"
-        trg += f"ENTRY[entry{entry_id}]/"
-        template[f"{trg}@default"] = "experiment"
-        trg += "experiment/"
-        template[f"{trg}@default"] = "indexing"
-        trg += "indexing/"
-        template[f"{trg}@default"] = "ipf_map1"
-        trg += "PROCESS[ipf_map1]/"
-        template[f"{trg}@default"] = "ipf_rgb_map"
-        return True
-
-    return False
-
-
-def diffraction_pattern_available(template: dict, entry_id: int) -> bool:
-    """Choose a preferred NXdata/data instance diffraction pattern."""
-    trg = (
-        f"/ENTRY[entry{entry_id}]/simulation/IMAGE_SET_EM_KIKUCHI"
-        f"[image_set_em_kikuchi]/stack/data_counts"
-    )
-    if trg in template.keys():
-        print(f"Found image default plot for entry{entry_id}")
-        trg = "/"
-        template[f"{trg}@default"] = f"entry{entry_id}"
-        trg += f"ENTRY[entry{entry_id}]/"
-        template[f"{trg}@default"] = "simulation"
-        trg += "simulation/"
-        template[f"{trg}@default"] = "image_set_em_kikuchi"
-        trg += "image_set_em_kikuchi/"
-        template[f"{trg}@default"] = "stack"
-        return True
-
-    return False
-
-
-def em_om_default_plot_generator(template: dict, entry_id: int) -> dict:
-    """Identify and annotate default plot."""
-    # prefer to show the region-of-interest overview as the default plot
-    # if this does not exist, try to find one of the IPF color mappings
-    if roi_plot_available(template, entry_id) is True:
-        return template
-
-    if diffraction_pattern_available(template, entry_id) is True:
-        return template
-
-    print(f"WARNING: No path to a default plot found for entry{entry_id} !")
-    return template
diff --git a/pynxtools/dataconverter/readers/em_om/utils/euler_angle_convention.py b/pynxtools/dataconverter/readers/em_om/utils/euler_angle_convention.py
deleted file mode 100644
index 6b61c7a62..000000000
--- a/pynxtools/dataconverter/readers/em_om/utils/euler_angle_convention.py
+++ /dev/null
@@ -1,65 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Definitions for different conventions associated with Euler angles."""
-
-# pylint: disable=no-member
-
-# Euler angles are a parameterization for orientations which use three
-# consecutively rotations (3D) rotations to rotate a configuration
-# described by an attached Cartesian CS na(False, "", ""),         "", ""),med A into configuration
-# described by an attached Cartesian CS named B
-# the sequence about which specific axis and new/intermediate axes
-# one rotates enables to distinguish different types of Euler angle
-# so-called Euler-angle conventions, most commonly used in materials
-# science is the convention of H.-J. Bunge aka zxz convention
-
-# "Bunge" https://doi.org/10.1016/C2013-0-11769-2
-# "Rowenhorst" https://doi.org/10.1088/0965-0393/23/8/083501
-# "Morawiec" https://doi.org/10.1007/978-3-662-09156-2
-# "Britton" https://doi.org/10.1016/j.matchar.2016.04.008
-
-
-which_euler_convention = {
-    "xxx": (False, "", ""),
-    "xxy": (True, "", ""),
-    "xxz": (True, "", ""),
-    "xyx": (True, "", ""),
-    "xyy": (True, "", ""),
-    "xyz": (True, "", ""),
-    "xzx": (True, "", ""),
-    "xzy": (True, "", ""),
-    "xzz": (True, "", ""),
-    "yxx": (True, "", ""),
-    "yxy": (True, "", ""),
-    "yxz": (True, "", ""),
-    "yyx": (True, "", ""),
-    "yyy": (False, "", ""),
-    "yyz": (True, "", ""),
-    "yzx": (True, "", ""),
-    "yzy": (True, "", ""),
-    "yzz": (True, "", ""),
-    "zxx": (True, "", ""),
-    "zxy": (True, "", ""),
-    "zxz": (True, "Bunge", "proper"),
-    "zyx": (True, "", ""),
-    "zyy": (True, "", ""),
-    "zyz": (True, "", ""),
-    "zzx": (True, "", ""),
-    "zzy": (True, "", ""),
-    "zzz": (False, "", ""),
-}
diff --git a/pynxtools/dataconverter/readers/em_om/utils/generic_eln_io.py b/pynxtools/dataconverter/readers/em_om/utils/generic_eln_io.py
deleted file mode 100644
index 337f2086e..000000000
--- a/pynxtools/dataconverter/readers/em_om/utils/generic_eln_io.py
+++ /dev/null
@@ -1,366 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Parse metadata in generic (like reported by an OASIS ELN) schema."""
-
-# pylint: disable=no-member,duplicate-code
-
-import numpy as np
-
-import flatdict as fd
-
-import yaml
-
-# from ase.data import chemical_symbols
-
-from pynxtools.dataconverter.readers.em_om.utils.versioning import (
-    NX_EM_OM_ADEF_NAME,
-    NX_EM_OM_ADEF_VERSION,
-)
-from pynxtools.dataconverter.readers.em_om.utils.versioning import (
-    NX_EM_OM_EXEC_NAME,
-    NX_EM_OM_EXEC_VERSION,
-)
-
-from pynxtools.dataconverter.readers.em_om.utils.handed_cartesian import (
-    REFERENCE_FRAMES,
-    AXIS_DIRECTIONS,
-    is_cs_well_defined,
-)
-
-# example how to check against different types of Euler angle conventions
-# from pynxtools.dataconverter.readers.em_om.utils.euler_angle_convention \
-#    import which_euler_convention
-
-# example how to check if set of conventions matches to some suggestion in the literature
-# from pynxtools.dataconverter.readers.em_om.utils.msmse_convention \
-#     import is_consistent_with_msmse_convention
-
-
-class NxEmOmGenericElnSchemaParser:
-    """Parse eln_data.yaml dump file content generated from an (e.g. OASIS) ELN."""
-
-    def __init__(self, file_name: str, entry_id: int, pattern_simulation: bool):
-        """Fill template with ELN pieces of information."""
-        self.pattern_simulation = pattern_simulation
-        print(f"Extracting data from ELN file: {file_name}")
-        if (
-            file_name.rsplit("/", 1)[-1].startswith("eln_data")
-            or file_name.startswith("eln_data")
-        ) and entry_id > 0:
-            self.entry_id = entry_id
-            self.file_name = file_name
-            with open(self.file_name, "r", encoding="utf-8") as stream:
-                self.yml = fd.FlatDict(yaml.safe_load(stream), delimiter=":")
-        else:
-            self.entry_id = 1
-            self.file_name = ""
-            self.yml = {}
-
-        # if "ElectronBackscatterDiffraction" in self.yml:
-        #     self.yml = self.yml["ElectronBackscatterDiffraction"]
-
-    def parse(self, template: dict) -> dict:
-        """Extract metadata from generic ELN text file to respective NeXus objects."""
-        print("Parsing ELN input...")
-        print(f"{self.file_name}")
-        print(f"{self.entry_id}")
-        self.parse_entry_section(template)
-        self.parse_user_section(template)
-        if self.pattern_simulation is False:
-            self.parse_commerical_on_the_fly_section(template)
-            self.parse_measurement_section(template)
-            self.parse_calibration_section(template)
-        self.parse_rotation_convention_section(template)
-        self.parse_processing_frame_section(template)
-        self.parse_sample_frame_section(template)
-        self.parse_detector_frame_section(template)
-        self.parse_gnomonic_projection_section(template)
-        if self.pattern_simulation is False:
-            self.parse_indexing(template)
-        return template
-
-    def parse_entry_section(self, template: dict) -> dict:
-        """ "Parse entry section."""
-        print("Parse entry...")
-        src = "entry"
-        trg = f"/ENTRY[entry{self.entry_id}]/"
-        if (self.yml[f"{src}:attr_version"] == NX_EM_OM_ADEF_VERSION) and (
-            self.yml[f"{src}:definition"] == NX_EM_OM_ADEF_NAME
-        ):
-            template[f"{trg}@version"] = NX_EM_OM_ADEF_VERSION
-            template[f"{trg}definition"] = NX_EM_OM_ADEF_NAME
-            template[f"{trg}PROGRAM[program1]/program"] = NX_EM_OM_EXEC_NAME
-            template[f"{trg}PROGRAM[program1]/program/@version"] = NX_EM_OM_EXEC_VERSION
-        if ("program" in self.yml[src].keys()) and (
-            "program__attr_version" in self.yml[src].keys()
-        ):
-            template[f"{trg}PROGRAM[program2]/program"] = self.yml[f"{src}:program"]
-            template[f"{trg}PROGRAM[program2]/program/@version"] = self.yml[
-                f"{src}:program__attr_version"
-            ]
-        # check that versions NX_EM_OM_* match
-        req_field_names = [
-            "definition",
-            "start_time",
-            "end_time",
-            "workflow_description",
-            "workflow_identifier",
-        ]
-        for field in req_field_names:
-            if field in self.yml[src].keys():
-                template[f"{trg}{field}"] = self.yml[f"{src}:{field}"]
-
-        return template
-
-    def parse_user_section(self, template: dict) -> dict:
-        """Parse user section."""
-        print("Parse user...")
-        src = "user"
-        if not isinstance(self.yml[src], list):
-            return template
-        user_id = 1
-        for user_list in self.yml[src]:
-            trg = f"/ENTRY[entry{self.entry_id}]/USER[user{user_id}]/"
-            field_names = [
-                "name",
-                "email",
-                "affiliation",
-                "address",
-                "orcid",
-                "orcid_platform",
-                "telephone_number",
-                "role",
-                "social_media_name",
-                "social_media_platform",
-            ]
-            for field_name in field_names:
-                if field_name in user_list.keys():
-                    template[f"{trg}{field_name}"] = user_list[field_name]
-            user_id += 1
-        return template
-
-    def parse_commerical_on_the_fly_section(self, template: dict) -> dict:
-        """Parse the on-the-fly section."""
-        print("Parse commercial on-the-fly")
-        src = "commercial_on_the_fly_indexing"
-        trg = f"/ENTRY[entry{self.entry_id}]/experiment/indexing/on_the_fly_indexing/"
-        if ("program" in self.yml[src].keys()) and (
-            "program__attr_version" in self.yml[src].keys()
-        ):
-            template[f"{trg}PROGRAM[program1]/program"] = self.yml[f"{src}:program"]
-            template[f"{trg}PROGRAM[program1]/program/@version"] = self.yml[
-                f"{src}:program__attr_version"
-            ]
-        if "results_file" in self.yml[src].keys():
-            template[f"{trg}origin"] = self.yml[f"{src}:results_file"]
-        if "results_file__attr_version" in self.yml[src].keys():
-            template[f"{trg}origin/@version"] = self.yml[
-                f"{src}:results_file__attr_version"
-            ]
-        template[f"{trg}path"] = str("undefined")
-        # NEW ISSUE: this is a bug not results_file version in eln but path !!
-        return template
-
-    def parse_measurement_section(self, template: dict) -> dict:
-        """Parse measurement section establishing link between NXem_ebsd and NXem."""
-        print("Parse measurement...")
-        src = "measurement"
-        field_names = ["origin", "path"]
-        trg = f"/ENTRY[entry{self.entry_id}]/experiment/acquisition/"
-        for field_name in field_names:
-            if field_name in self.yml[src].keys():
-                template[f"{trg}{field_name}"] = self.yml[f"{src}:{field_name}"]
-        if "origin__attr_version" in self.yml[src].keys():
-            template[f"{trg}origin/@version"] = self.yml[f"{src}:origin__attr_version"]
-        return template
-
-    def parse_calibration_section(self, template: dict) -> dict:
-        """Parse calibration section."""
-        print("Parse calibration...")
-        src = "calibration"
-        field_names = ["origin", "path"]
-        trg = f"/ENTRY[entry{self.entry_id}]/experiment/calibration/"
-        for field_name in field_names:
-            if field_name in self.yml[src].keys():
-                template[f"{trg}{field_name}"] = self.yml[f"{src}:{field_name}"]
-        if "origin__attr_version" in self.yml[src].keys():
-            template[f"{trg}origin/@version"] = self.yml[f"{src}:origin__attr_version"]
-        return template
-
-    def parse_rotation_convention_section(self, template: dict) -> dict:
-        """Parse rotation conventions."""
-        src = "rotation_conventions"
-        trg = f"/ENTRY[entry{self.entry_id}]/conventions/rotation_conventions/"
-        terms = [
-            "three_dimensional_rotation_handedness",
-            "rotation_convention",
-            "euler_angle_convention",
-            "axis_angle_convention",
-        ]
-        for term in terms:
-            if term in self.yml[src].keys():
-                template[f"{trg}{term}"] = self.yml[f"{src}:{term}"].lower()
-        # one term named differently in ELN than in NeXus appdef template keyword
-        if "sign_convention" in self.yml[src].keys():
-            template[f"{trg}orientation_parameterization_sign_convention"] = self.yml[
-                f"{src}:sign_convention"
-            ].lower()
-        # if desired one could check conventions are consistent with specific ones
-        return template
-
-    def parse_processing_frame_section(self, template: dict) -> dict:
-        """Parse processing reference frame definitions."""
-        axes_names = ["x", "y", "z"]
-        src = "processing_reference_frame"
-        trg = f"/ENTRY[entry{self.entry_id}]/conventions/processing_reference_frame/"
-        if "reference_frame_type" in self.yml[src].keys():
-            if self.yml[f"{src}:reference_frame_type"] in REFERENCE_FRAMES:
-                template[f"{trg}reference_frame_type"] = self.yml[
-                    f"{src}:reference_frame_type"
-                ]
-            xyz_directions = ["undefined", "undefined", "undefined"]
-            xyz_aliases = ["", "", ""]
-            for idx in np.arange(0, 3):
-                axis_name = axes_names[idx]
-                if f"{axis_name}axis_direction" in self.yml[src].keys():
-                    if self.yml[f"{src}:{axis_name}axis_direction"] in AXIS_DIRECTIONS:
-                        xyz_directions[idx] = self.yml[
-                            f"{src}:{axis_name}axis_direction"
-                        ]
-                if f"{axis_name}axis_alias" in self.yml[src].keys():
-                    xyz_aliases[idx] = self.yml[f"{src}:{axis_name}axis_alias"]
-
-            if is_cs_well_defined(
-                self.yml[f"{src}:reference_frame_type"], xyz_directions
-            ):
-                for idx in np.arange(0, 3):
-                    axis_name = axes_names[idx]
-                    template[f"{trg}{axis_name}axis_direction"] = xyz_directions[idx]
-                    template[f"{trg}{axis_name}axis_alias"] = xyz_aliases[idx]
-            if "origin" in self.yml[src].keys():
-                template[f"{trg}origin"] = self.yml[f"{src}:origin"]
-        return template
-
-    def parse_sample_frame_section(self, template: dict) -> dict:
-        """Parse sample reference frame definitions."""
-        axes_names = ["x", "y", "z"]
-        src = "sample_reference_frame"
-        trg = f"/ENTRY[entry{self.entry_id}]/conventions/sample_reference_frame/"
-        if "reference_frame_type" in self.yml[src].keys():
-            if self.yml[f"{src}:reference_frame_type"] in REFERENCE_FRAMES:
-                template[f"{trg}reference_frame_type"] = self.yml[
-                    f"{src}:reference_frame_type"
-                ]
-            xyz_directions = ["undefined", "undefined", "undefined"]
-            for idx in np.arange(0, 3):
-                axis_name = axes_names[idx]
-                if f"{axis_name}axis_direction" in self.yml[src].keys():
-                    if self.yml[f"{src}:{axis_name}axis_direction"] in AXIS_DIRECTIONS:
-                        xyz_directions[idx] = self.yml[
-                            f"{src}:{axis_name}axis_direction"
-                        ]
-            if is_cs_well_defined(
-                self.yml[f"{src}:reference_frame_type"], xyz_directions
-            ):
-                for idx in np.arange(0, 3):
-                    axis_name = axes_names[idx]
-                    template[f"{trg}{axis_name}axis_direction"] = xyz_directions[idx]
-            if "origin" in self.yml[src].keys():
-                template[f"{trg}origin"] = self.yml[f"{src}:origin"]
-        return template
-
-    def parse_detector_frame_section(self, template: dict) -> dict:
-        """Parse detector reference frame definitions."""
-        axes_names = ["x", "y", "z"]
-        src = "detector_reference_frame"
-        trg = f"/ENTRY[entry{self.entry_id}]/conventions/detector_reference_frame/"
-        if "reference_frame_type" in self.yml[src].keys():
-            if self.yml[f"{src}:reference_frame_type"] in REFERENCE_FRAMES:
-                template[f"{trg}reference_frame_type"] = self.yml[
-                    f"{src}:reference_frame_type"
-                ]
-            xyz_directions = ["undefined", "undefined", "undefined"]
-            for idx in np.arange(0, 3):
-                axis_name = axes_names[idx]
-                if f"{axis_name}axis_direction" in self.yml[src].keys():
-                    if self.yml[f"{src}:{axis_name}axis_direction"] in AXIS_DIRECTIONS:
-                        xyz_directions[idx] = self.yml[
-                            f"{src}:{axis_name}axis_direction"
-                        ]
-            if is_cs_well_defined(
-                self.yml[f"{src}:reference_frame_type"], xyz_directions
-            ):
-                for idx in np.arange(0, 3):
-                    axis_name = axes_names[idx]
-                    template[f"{trg}{axis_name}axis_direction"] = xyz_directions[idx]
-            if "origin" in self.yml[src].keys():
-                template[f"{trg}origin"] = self.yml[f"{src}:origin"]
-        # ... <-- is the same except for the src name
-        return template
-
-    def parse_gnomonic_projection_section(self, template: dict) -> dict:
-        """Parse for the gnomonic projection."""
-        axes_names = ["x", "y", "z"]
-        src = "gnomonic_projection:gnomonic_projection_reference_frame"
-        trg = (
-            f"/ENTRY[entry{self.entry_id}]/conventions"
-            f"/gnomonic_projection_reference_frame/"
-        )
-        if "reference_frame_type" in self.yml[src].keys():
-            if self.yml[f"{src}:reference_frame_type"] in REFERENCE_FRAMES:
-                template[f"{trg}reference_frame_type"] = self.yml[
-                    f"{src}:reference_frame_type"
-                ]
-            xyz_directions = ["undefined", "undefined", "undefined"]
-            for idx in np.arange(0, 3):
-                axis_name = axes_names[idx]
-                if f"{axis_name}axis_direction" in self.yml[src].keys():
-                    if self.yml[f"{src}:{axis_name}axis_direction"] in AXIS_DIRECTIONS:
-                        xyz_directions[idx] = self.yml[
-                            f"{src}:{axis_name}axis_direction"
-                        ]
-            if is_cs_well_defined(
-                self.yml[f"{src}:reference_frame_type"], xyz_directions
-            ):
-                for idx in np.arange(0, 3):
-                    axis_name = axes_names[idx]
-                    template[f"{trg}{axis_name}axis_direction"] = xyz_directions[idx]
-            if "origin" in self.yml[src].keys():
-                template[f"{trg}origin"] = self.yml[f"{src}:origin"]
-
-        src = "gnomonic_projection:pattern_centre"
-        trg = f"/ENTRY[entry{self.entry_id}]/conventions/pattern_centre/"
-        axes_names = ["x", "y"]
-        field_names = ["axis_boundary_convention", "axis_normalization_direction"]
-        for idx in np.arange(0, 2):
-            axis_name = axes_names[idx]
-            for field_name in field_names:
-                if f"{axis_name}{field_name}" in self.yml[src].keys():
-                    template[f"{trg}{axis_name}{field_name}"] = self.yml[
-                        f"{src}:{axis_name}{field_name}"
-                    ]
-        return template
-
-    def parse_indexing(self, template: dict) -> dict:
-        """Parse indexing section."""
-        print("Parse indexing...")
-        src = "indexing"
-        trg = f"/ENTRY[entry{self.entry_id}]/experiment/indexing"
-        if "method" in self.yml[src].keys():
-            template[f"{trg}/method"] = self.yml[f"{src}:method"]
-        return template
diff --git a/pynxtools/dataconverter/readers/em_om/utils/handed_cartesian.py b/pynxtools/dataconverter/readers/em_om/utils/handed_cartesian.py
deleted file mode 100644
index f0d9f63d0..000000000
--- a/pynxtools/dataconverter/readers/em_om/utils/handed_cartesian.py
+++ /dev/null
@@ -1,749 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Definitions for right- or left-handed Cartesian coordinate system."""
-
-# pylint: disable=no-member
-
-# the nxebsd.schema.archive.yaml" offers a set of sets of RadioEditButtons
-# each such set can be used to define the unique orientation of a right-handed
-# Cartesian coordinate system's base vectors when viewed by an outer observer
-# looking to the display of the coordinate system triplet vector and comparing
-# to the plane of sight and a compass
-# the compass defines four directions, north aka up, east aka right, south aka down,
-# and west aka left. The plane of sight defines two additional directions in aka
-# into the plane and out aka out-of-the-plane
-# there are different strategies what users find convenient to report to specify
-# the directions into which the base vectors are assumed pointing
-# in general only two perpendicular directions have to be specified as the third
-# follows implicitly i.e. there is no need to overconstraint hence the term "undefined"
-# the following dictionary is a lookup table whereby the input of the user
-# can be evaluated to check if the radioeditbutton choice result in a fully constraint
-# and thus unique definition. All other choices are reported as a not fully constraint
-# i.e. eventually problematic coordinate system
-
-REFERENCE_FRAMES = ["undefined", "right_handed_cartesian", "left_handed_cartesian"]
-
-AXIS_DIRECTIONS = ["undefined", "north", "east", "south", "west", "in", "out"]
-
-# is a right-handed Cartesian coordinate system sufficiently constrained, when
-# at least two base vector directions are chosen
-is_cs_rh_unambiguous = {
-    "undefined_undefined_undefined": False,
-    "undefined_undefined_north": False,
-    "undefined_undefined_east": False,
-    "undefined_undefined_south": False,
-    "undefined_undefined_west": False,
-    "undefined_undefined_in": False,
-    "undefined_undefined_out": False,
-    "undefined_north_undefined": False,
-    "undefined_north_north": False,
-    "undefined_north_east": True,
-    "undefined_north_south": True,
-    "undefined_north_west": True,
-    "undefined_north_in": True,
-    "undefined_north_out": True,
-    "undefined_east_undefined": False,
-    "undefined_east_north": True,
-    "undefined_east_east": False,
-    "undefined_east_south": True,
-    "undefined_east_west": False,
-    "undefined_east_in": True,
-    "undefined_east_out": True,
-    "undefined_south_undefined": False,
-    "undefined_south_north": False,
-    "undefined_south_east": True,
-    "undefined_south_south": False,
-    "undefined_south_west": True,
-    "undefined_south_in": True,
-    "undefined_south_out": True,
-    "undefined_west_undefined": False,
-    "undefined_west_north": True,
-    "undefined_west_east": False,
-    "undefined_west_south": True,
-    "undefined_west_west": False,
-    "undefined_west_in": True,
-    "undefined_west_out": True,
-    "undefined_in_undefined": False,
-    "undefined_in_north": True,
-    "undefined_in_east": True,
-    "undefined_in_south": True,
-    "undefined_in_west": True,
-    "undefined_in_in": False,
-    "undefined_in_out": False,
-    "undefined_out_undefined": False,
-    "undefined_out_north": True,
-    "undefined_out_east": True,
-    "undefined_out_south": True,
-    "undefined_out_west": True,
-    "undefined_out_in": False,
-    "undefined_out_out": False,
-    "north_undefined_undefined": False,
-    "north_undefined_north": False,
-    "north_undefined_east": True,
-    "north_undefined_south": False,
-    "north_undefined_west": True,
-    "north_undefined_in": True,
-    "north_undefined_out": True,
-    "north_north_undefined": False,
-    "north_north_north": False,
-    "north_north_east": False,
-    "north_north_south": False,
-    "north_north_west": False,
-    "north_north_in": False,
-    "north_north_out": False,
-    "north_east_undefined": True,
-    "north_east_north": False,
-    "north_east_east": False,
-    "north_east_south": False,
-    "north_east_west": False,
-    "north_east_in": True,
-    "north_east_out": False,
-    "north_south_undefined": False,
-    "north_south_north": False,
-    "north_south_east": False,
-    "north_south_south": False,
-    "north_south_west": False,
-    "north_south_in": False,
-    "north_south_out": False,
-    "north_west_undefined": True,
-    "north_west_north": False,
-    "north_west_east": False,
-    "north_west_south": False,
-    "north_west_west": False,
-    "north_west_in": False,
-    "north_west_out": True,
-    "north_in_undefined": True,
-    "north_in_north": False,
-    "north_in_east": False,
-    "north_in_south": False,
-    "north_in_west": True,
-    "north_in_in": False,
-    "north_in_out": False,
-    "north_out_undefined": True,
-    "north_out_north": False,
-    "north_out_east": True,
-    "north_out_south": False,
-    "north_out_west": False,
-    "north_out_in": False,
-    "north_out_out": False,
-    "east_undefined_undefined": False,
-    "east_undefined_north": True,
-    "east_undefined_east": False,
-    "east_undefined_south": True,
-    "east_undefined_west": False,
-    "east_undefined_in": True,
-    "east_undefined_out": True,
-    "east_north_undefined": True,
-    "east_north_north": False,
-    "east_north_east": False,
-    "east_north_south": False,
-    "east_north_west": False,
-    "east_north_in": False,
-    "east_north_out": True,
-    "east_east_undefined": False,
-    "east_east_north": False,
-    "east_east_east": False,
-    "east_east_south": False,
-    "east_east_west": False,
-    "east_east_in": False,
-    "east_east_out": False,
-    "east_south_undefined": True,
-    "east_south_north": False,
-    "east_south_east": False,
-    "east_south_south": False,
-    "east_south_west": False,
-    "east_south_in": True,
-    "east_south_out": False,
-    "east_west_undefined": False,
-    "east_west_north": False,
-    "east_west_east": False,
-    "east_west_south": False,
-    "east_west_west": False,
-    "east_west_in": False,
-    "east_west_out": False,
-    "east_in_undefined": True,
-    "east_in_north": True,
-    "east_in_east": False,
-    "east_in_south": False,
-    "east_in_west": False,
-    "east_in_in": False,
-    "east_in_out": False,
-    "east_out_undefined": True,
-    "east_out_north": False,
-    "east_out_east": False,
-    "east_out_south": True,
-    "east_out_west": False,
-    "east_out_in": False,
-    "east_out_out": False,
-    "south_undefined_undefined": False,
-    "south_undefined_north": False,
-    "south_undefined_east": True,
-    "south_undefined_south": False,
-    "south_undefined_west": True,
-    "south_undefined_in": True,
-    "south_undefined_out": True,
-    "south_north_undefined": False,
-    "south_north_north": False,
-    "south_north_east": False,
-    "south_north_south": False,
-    "south_north_west": False,
-    "south_north_in": False,
-    "south_north_out": False,
-    "south_east_undefined": True,
-    "south_east_north": False,
-    "south_east_east": False,
-    "south_east_south": False,
-    "south_east_west": False,
-    "south_east_in": False,
-    "south_east_out": True,
-    "south_south_undefined": False,
-    "south_south_north": False,
-    "south_south_east": False,
-    "south_south_south": False,
-    "south_south_west": False,
-    "south_south_in": False,
-    "south_south_out": False,
-    "south_west_undefined": True,
-    "south_west_north": False,
-    "south_west_east": False,
-    "south_west_south": False,
-    "south_west_west": False,
-    "south_west_in": True,
-    "south_west_out": False,
-    "south_in_undefined": True,
-    "south_in_north": False,
-    "south_in_east": True,
-    "south_in_south": False,
-    "south_in_west": False,
-    "south_in_in": False,
-    "south_in_out": False,
-    "south_out_undefined": True,
-    "south_out_north": False,
-    "south_out_east": False,
-    "south_out_south": False,
-    "south_out_west": True,
-    "south_out_in": False,
-    "south_out_out": False,
-    "west_undefined_undefined": False,
-    "west_undefined_north": True,
-    "west_undefined_east": False,
-    "west_undefined_south": True,
-    "west_undefined_west": False,
-    "west_undefined_in": True,
-    "west_undefined_out": True,
-    "west_north_undefined": True,
-    "west_north_north": False,
-    "west_north_east": False,
-    "west_north_south": False,
-    "west_north_west": False,
-    "west_north_in": True,
-    "west_north_out": False,
-    "west_east_undefined": False,
-    "west_east_north": False,
-    "west_east_east": False,
-    "west_east_south": False,
-    "west_east_west": False,
-    "west_east_in": False,
-    "west_east_out": False,
-    "west_south_undefined": True,
-    "west_south_north": False,
-    "west_south_east": False,
-    "west_south_south": False,
-    "west_south_west": False,
-    "west_south_in": False,
-    "west_south_out": True,
-    "west_west_undefined": False,
-    "west_west_north": False,
-    "west_west_east": False,
-    "west_west_south": False,
-    "west_west_west": False,
-    "west_west_in": False,
-    "west_west_out": False,
-    "west_in_undefined": True,
-    "west_in_north": False,
-    "west_in_east": False,
-    "west_in_south": True,
-    "west_in_west": False,
-    "west_in_in": False,
-    "west_in_out": False,
-    "west_out_undefined": True,
-    "west_out_north": True,
-    "west_out_east": False,
-    "west_out_south": False,
-    "west_out_west": False,
-    "west_out_in": False,
-    "west_out_out": False,
-    "in_undefined_undefined": False,
-    "in_undefined_north": True,
-    "in_undefined_east": True,
-    "in_undefined_south": True,
-    "in_undefined_west": True,
-    "in_undefined_in": False,
-    "in_undefined_out": False,
-    "in_north_undefined": True,
-    "in_north_north": False,
-    "in_north_east": True,
-    "in_north_south": False,
-    "in_north_west": False,
-    "in_north_in": False,
-    "in_north_out": False,
-    "in_east_undefined": True,
-    "in_east_north": False,
-    "in_east_east": False,
-    "in_east_south": True,
-    "in_east_west": False,
-    "in_east_in": False,
-    "in_east_out": False,
-    "in_south_undefined": True,
-    "in_south_north": False,
-    "in_south_east": False,
-    "in_south_south": False,
-    "in_south_west": True,
-    "in_south_in": False,
-    "in_south_out": False,
-    "in_west_undefined": True,
-    "in_west_north": True,
-    "in_west_east": False,
-    "in_west_south": False,
-    "in_west_west": False,
-    "in_west_in": False,
-    "in_west_out": False,
-    "in_in_undefined": False,
-    "in_in_north": False,
-    "in_in_east": False,
-    "in_in_south": False,
-    "in_in_west": False,
-    "in_in_in": False,
-    "in_in_out": False,
-    "in_out_undefined": False,
-    "in_out_north": False,
-    "in_out_east": False,
-    "in_out_south": False,
-    "in_out_west": False,
-    "in_out_in": False,
-    "in_out_out": False,
-    "out_undefined_undefined": False,
-    "out_undefined_north": True,
-    "out_undefined_east": True,
-    "out_undefined_south": True,
-    "out_undefined_west": True,
-    "out_undefined_in": False,
-    "out_undefined_out": False,
-    "out_north_undefined": True,
-    "out_north_north": False,
-    "out_north_east": False,
-    "out_north_south": False,
-    "out_north_west": True,
-    "out_north_in": False,
-    "out_north_out": False,
-    "out_east_undefined": True,
-    "out_east_north": True,
-    "out_east_east": False,
-    "out_east_south": False,
-    "out_east_west": False,
-    "out_east_in": False,
-    "out_east_out": False,
-    "out_south_undefined": True,
-    "out_south_north": False,
-    "out_south_east": True,
-    "out_south_south": False,
-    "out_south_west": False,
-    "out_south_in": False,
-    "out_south_out": False,
-    "out_west_undefined": True,
-    "out_west_north": False,
-    "out_west_east": False,
-    "out_west_south": True,
-    "out_west_west": False,
-    "out_west_in": False,
-    "out_west_out": False,
-    "out_in_undefined": False,
-    "out_in_north": False,
-    "out_in_east": False,
-    "out_in_south": False,
-    "out_in_west": False,
-    "out_in_in": False,
-    "out_in_out": False,
-    "out_out_undefined": False,
-    "out_out_north": False,
-    "out_out_east": False,
-    "out_out_south": False,
-    "out_out_west": False,
-    "out_out_in": False,
-    "out_out_out": False,
-}
-
-is_cs_lh_unambiguous = {
-    "undefined_undefined_undefined": False,
-    "undefined_undefined_north": False,
-    "undefined_undefined_east": False,
-    "undefined_undefined_south": False,
-    "undefined_undefined_west": False,
-    "undefined_undefined_in": False,
-    "undefined_undefined_out": False,
-    "undefined_north_undefined": False,
-    "undefined_north_north": False,
-    "undefined_north_east": True,
-    "undefined_north_south": False,
-    "undefined_north_west": True,
-    "undefined_north_in": True,
-    "undefined_north_out": True,
-    "undefined_east_undefined": False,
-    "undefined_east_north": True,
-    "undefined_east_east": False,
-    "undefined_east_south": True,
-    "undefined_east_west": False,
-    "undefined_east_in": True,
-    "undefined_east_out": True,
-    "undefined_south_undefined": False,
-    "undefined_south_north": False,
-    "undefined_south_east": True,
-    "undefined_south_south": False,
-    "undefined_south_west": True,
-    "undefined_south_in": True,
-    "undefined_south_out": True,
-    "undefined_west_undefined": False,
-    "undefined_west_north": True,
-    "undefined_west_east": False,
-    "undefined_west_south": True,
-    "undefined_west_west": False,
-    "undefined_west_in": True,
-    "undefined_west_out": True,
-    "undefined_in_undefined": False,
-    "undefined_in_north": True,
-    "undefined_in_east": True,
-    "undefined_in_south": True,
-    "undefined_in_west": True,
-    "undefined_in_in": False,
-    "undefined_in_out": False,
-    "undefined_out_undefined": False,
-    "undefined_out_north": True,
-    "undefined_out_east": True,
-    "undefined_out_south": True,
-    "undefined_out_west": True,
-    "undefined_out_in": False,
-    "undefined_out_out": False,
-    "north_undefined_undefined": False,
-    "north_undefined_north": False,
-    "north_undefined_east": True,
-    "north_undefined_south": False,
-    "north_undefined_west": True,
-    "north_undefined_in": True,
-    "north_undefined_out": True,
-    "north_north_undefined": False,
-    "north_north_north": False,
-    "north_north_east": False,
-    "north_north_south": False,
-    "north_north_west": False,
-    "north_north_in": False,
-    "north_north_out": False,
-    "north_east_undefined": True,
-    "north_east_north": False,
-    "north_east_east": False,
-    "north_east_south": False,
-    "north_east_west": False,
-    "north_east_in": False,
-    "north_east_out": True,
-    "north_south_undefined": False,
-    "north_south_north": False,
-    "north_south_east": False,
-    "north_south_south": False,
-    "north_south_west": False,
-    "north_south_in": False,
-    "north_south_out": False,
-    "north_west_undefined": True,
-    "north_west_north": False,
-    "north_west_east": False,
-    "north_west_south": False,
-    "north_west_west": False,
-    "north_west_in": True,
-    "north_west_out": False,
-    "north_in_undefined": True,
-    "north_in_north": False,
-    "north_in_east": True,
-    "north_in_south": False,
-    "north_in_west": False,
-    "north_in_in": False,
-    "north_in_out": False,
-    "north_out_undefined": True,
-    "north_out_north": False,
-    "north_out_east": False,
-    "north_out_south": False,
-    "north_out_west": True,
-    "north_out_in": False,
-    "north_out_out": False,
-    "east_undefined_undefined": False,
-    "east_undefined_north": True,
-    "east_undefined_east": False,
-    "east_undefined_south": True,
-    "east_undefined_west": False,
-    "east_undefined_in": True,
-    "east_undefined_out": True,
-    "east_north_undefined": True,
-    "east_north_north": False,
-    "east_north_east": False,
-    "east_north_south": False,
-    "east_north_west": False,
-    "east_north_in": True,
-    "east_north_out": False,
-    "east_east_undefined": False,
-    "east_east_north": False,
-    "east_east_east": False,
-    "east_east_south": False,
-    "east_east_west": False,
-    "east_east_in": False,
-    "east_east_out": False,
-    "east_south_undefined": True,
-    "east_south_north": False,
-    "east_south_east": False,
-    "east_south_south": False,
-    "east_south_west": False,
-    "east_south_in": False,
-    "east_south_out": True,
-    "east_west_undefined": False,
-    "east_west_north": False,
-    "east_west_east": False,
-    "east_west_south": False,
-    "east_west_west": False,
-    "east_west_in": False,
-    "east_west_out": False,
-    "east_in_undefined": True,
-    "east_in_north": False,
-    "east_in_east": False,
-    "east_in_south": True,
-    "east_in_west": False,
-    "east_in_in": False,
-    "east_in_out": False,
-    "east_out_undefined": True,
-    "east_out_north": True,
-    "east_out_east": False,
-    "east_out_south": False,
-    "east_out_west": False,
-    "east_out_in": False,
-    "east_out_out": False,
-    "south_undefined_undefined": False,
-    "south_undefined_north": False,
-    "south_undefined_east": True,
-    "south_undefined_south": False,
-    "south_undefined_west": True,
-    "south_undefined_in": True,
-    "south_undefined_out": True,
-    "south_north_undefined": False,
-    "south_north_north": False,
-    "south_north_east": False,
-    "south_north_south": False,
-    "south_north_west": False,
-    "south_north_in": False,
-    "south_north_out": False,
-    "south_east_undefined": True,
-    "south_east_north": False,
-    "south_east_east": False,
-    "south_east_south": False,
-    "south_east_west": False,
-    "south_east_in": True,
-    "south_east_out": False,
-    "south_south_undefined": False,
-    "south_south_north": False,
-    "south_south_east": False,
-    "south_south_south": False,
-    "south_south_west": False,
-    "south_south_in": False,
-    "south_south_out": False,
-    "south_west_undefined": True,
-    "south_west_north": False,
-    "south_west_east": False,
-    "south_west_south": False,
-    "south_west_west": False,
-    "south_west_in": False,
-    "south_west_out": True,
-    "south_in_undefined": True,
-    "south_in_north": False,
-    "south_in_east": False,
-    "south_in_south": False,
-    "south_in_west": True,
-    "south_in_in": False,
-    "south_in_out": False,
-    "south_out_undefined": True,
-    "south_out_north": False,
-    "south_out_east": True,
-    "south_out_south": False,
-    "south_out_west": False,
-    "south_out_in": False,
-    "south_out_out": False,
-    "west_undefined_undefined": False,
-    "west_undefined_north": True,
-    "west_undefined_east": False,
-    "west_undefined_south": True,
-    "west_undefined_west": False,
-    "west_undefined_in": True,
-    "west_undefined_out": True,
-    "west_north_undefined": True,
-    "west_north_north": False,
-    "west_north_east": False,
-    "west_north_south": False,
-    "west_north_west": False,
-    "west_north_in": False,
-    "west_north_out": True,
-    "west_east_undefined": False,
-    "west_east_north": False,
-    "west_east_east": False,
-    "west_east_south": False,
-    "west_east_west": False,
-    "west_east_in": False,
-    "west_east_out": False,
-    "west_south_undefined": True,
-    "west_south_north": False,
-    "west_south_east": False,
-    "west_south_south": False,
-    "west_south_west": False,
-    "west_south_in": True,
-    "west_south_out": False,
-    "west_west_undefined": False,
-    "west_west_north": False,
-    "west_west_east": False,
-    "west_west_south": False,
-    "west_west_west": False,
-    "west_west_in": False,
-    "west_west_out": False,
-    "west_in_undefined": True,
-    "west_in_north": True,
-    "west_in_east": False,
-    "west_in_south": False,
-    "west_in_west": False,
-    "west_in_in": False,
-    "west_in_out": False,
-    "west_out_undefined": True,
-    "west_out_north": False,
-    "west_out_east": False,
-    "west_out_south": True,
-    "west_out_west": False,
-    "west_out_in": False,
-    "west_out_out": False,
-    "in_undefined_undefined": False,
-    "in_undefined_north": True,
-    "in_undefined_east": True,
-    "in_undefined_south": True,
-    "in_undefined_west": True,
-    "in_undefined_in": False,
-    "in_undefined_out": False,
-    "in_north_undefined": True,
-    "in_north_north": False,
-    "in_north_east": False,
-    "in_north_south": False,
-    "in_north_west": True,
-    "in_north_in": False,
-    "in_north_out": False,
-    "in_east_undefined": True,
-    "in_east_north": True,
-    "in_east_east": False,
-    "in_east_south": False,
-    "in_east_west": False,
-    "in_east_in": False,
-    "in_east_out": False,
-    "in_south_undefined": True,
-    "in_south_north": False,
-    "in_south_east": True,
-    "in_south_south": False,
-    "in_south_west": False,
-    "in_south_in": False,
-    "in_south_out": False,
-    "in_west_undefined": True,
-    "in_west_north": False,
-    "in_west_east": False,
-    "in_west_south": True,
-    "in_west_west": False,
-    "in_west_in": False,
-    "in_west_out": False,
-    "in_in_undefined": False,
-    "in_in_north": False,
-    "in_in_east": False,
-    "in_in_south": False,
-    "in_in_west": False,
-    "in_in_in": False,
-    "in_in_out": False,
-    "in_out_undefined": False,
-    "in_out_north": False,
-    "in_out_east": False,
-    "in_out_south": False,
-    "in_out_west": False,
-    "in_out_in": False,
-    "in_out_out": False,
-    "out_undefined_undefined": False,
-    "out_undefined_north": True,
-    "out_undefined_east": True,
-    "out_undefined_south": True,
-    "out_undefined_west": True,
-    "out_undefined_in": False,
-    "out_undefined_out": False,
-    "out_north_undefined": True,
-    "out_north_north": False,
-    "out_north_east": True,
-    "out_north_south": False,
-    "out_north_west": False,
-    "out_north_in": False,
-    "out_north_out": False,
-    "out_east_undefined": True,
-    "out_east_north": False,
-    "out_east_east": False,
-    "out_east_south": True,
-    "out_east_west": False,
-    "out_east_in": False,
-    "out_east_out": False,
-    "out_south_undefined": True,
-    "out_south_north": False,
-    "out_south_east": False,
-    "out_south_south": False,
-    "out_south_west": True,
-    "out_south_in": False,
-    "out_south_out": False,
-    "out_west_undefined": True,
-    "out_west_north": True,
-    "out_west_east": False,
-    "out_west_south": False,
-    "out_west_west": False,
-    "out_west_in": False,
-    "out_west_out": False,
-    "out_in_undefined": False,
-    "out_in_north": False,
-    "out_in_east": False,
-    "out_in_south": False,
-    "out_in_west": False,
-    "out_in_in": False,
-    "out_in_out": False,
-    "out_out_undefined": False,
-    "out_out_north": False,
-    "out_out_east": False,
-    "out_out_south": False,
-    "out_out_west": False,
-    "out_out_in": False,
-    "out_out_out": False,
-}
-
-
-def is_cs_well_defined(handedness, directions):
-    """Check if the axis directions yield an unambiguous definition right handed"""
-    keyword = f"{directions[0]}_{directions[1]}_{directions[2]}"
-    if handedness == "right_handed_cartesian":
-        if keyword in is_cs_rh_unambiguous:
-            if is_cs_rh_unambiguous[keyword] is True:
-                return True
-    if handedness == "left_handed_cartesian":
-        if keyword in is_cs_lh_unambiguous:
-            if is_cs_lh_unambiguous[keyword] is True:
-                return True
-    return False
diff --git a/pynxtools/dataconverter/readers/em_om/utils/image_transform.py b/pynxtools/dataconverter/readers/em_om/utils/image_transform.py
deleted file mode 100644
index 1cd077e95..000000000
--- a/pynxtools/dataconverter/readers/em_om/utils/image_transform.py
+++ /dev/null
@@ -1,51 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Resize images so that they display properly in H5Web."""
-
-# pylint: disable=no-member
-
-# f"https://stackoverflow.com/questions/4321290/"
-# f" how-do-i-make-pil-take-into-account-the-shortest-side-when-creating-a-thumbnail"
-
-import numpy as np
-
-
-def thumbnail(img, size=300):
-    """Create a thumbnail, i.e. resized version of an image."""
-    img = img.copy()
-
-    if img.mode not in ("L", "RGB"):
-        img = img.convert("RGB")
-
-    old_width, old_height = img.size
-
-    if old_width < size and old_height < size:
-        return img
-
-    if old_width == old_height:
-        img.thumbnail((size, size))
-    elif old_height > old_width:
-        ratio = float(old_width) / float(old_height)
-        new_width = ratio * size
-        img = img.resize((int(np.floor(new_width)), size))
-    elif old_width > old_height:
-        ratio = float(old_height) / float(old_width)
-        new_height = ratio * size
-        img = img.resize((size, int(np.floor(new_height))))
-
-    return img
diff --git a/pynxtools/dataconverter/readers/em_om/utils/msmse_convention.py b/pynxtools/dataconverter/readers/em_om/utils/msmse_convention.py
deleted file mode 100644
index 1748ad4cb..000000000
--- a/pynxtools/dataconverter/readers/em_om/utils/msmse_convention.py
+++ /dev/null
@@ -1,49 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Conventions suggested by D. Rowenhorst et al. in DOI: 10.1088/0965-0393/23/8/083501."""
-
-# pylint: disable=no-member,duplicate-code
-
-msmse_convention = {
-    "three_dimensional_rotation_handedness": "counter_clockwise",
-    "rotation_convention": "passive",
-    "euler_angle_convention": "zxz",
-    "axis_angle_convention": "rotation_angle_on_interval_zero_to_pi",
-}
-# the sign convention is mentioned in the paper but left as a parameter
-# "sign_convention": "p_minus_one"
-
-
-def is_consistent_with_msmse_convention(dct):
-    """Checks if a set of conventions is consistent with that paper (see above)."""
-    # triple boolean, yes, no, unclear
-    req_fields = [
-        "three_dimensional_rotation_handedness",
-        "rotation_convention",
-        "euler_angle_convention",
-        "axis_angle_convention",
-    ]
-    for field_name in req_fields:
-        if (field_name not in dct) or (field_name not in msmse_convention):
-            return "unclear"
-    # okay, so either matching or not
-    for field_name in req_fields:
-        if dct[field_name] == msmse_convention[field_name]:
-            continue
-        return "inconsistent"
-    return "consistent"
diff --git a/pynxtools/dataconverter/readers/em_om/utils/mtex_ebsd_parser.py b/pynxtools/dataconverter/readers/em_om/utils/mtex_ebsd_parser.py
deleted file mode 100644
index b45cb4554..000000000
--- a/pynxtools/dataconverter/readers/em_om/utils/mtex_ebsd_parser.py
+++ /dev/null
@@ -1,320 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Parse intermediate HDF5 files from MTex @EBSD classes and FAIRmat mtex2nexus script."""
-
-# pylint: disable=no-member
-
-import numpy as np
-
-import h5py
-
-
-class NxEmOmMtexEbsdParser:
-    """Parse *.mtex EBSD data."""
-
-    def __init__(self, file_name: str, entry_id: int):
-        """Class wrapping reading HDF5 files formatted according NXem_ebsd from MTex."""
-        self.file_name = file_name
-        self.entry_id = entry_id
-
-    def parse_roi_default_plot(self, template: dict) -> dict:
-        """Parse data for the region-of-interest default plot."""
-        print("Parse ROI default plot...")
-        h5r = h5py.File(self.file_name, "r")
-        # by construction from MTex entry always named entry1
-
-        src = "/entry1/indexing/region_of_interest"
-        trg = f"/ENTRY[entry{self.entry_id}]/experiment/indexing/region_of_interest"
-        template[f"{trg}/descriptor"] = str(
-            h5r[f"{src}/descriptor"][()].decode("utf-8")
-        )
-
-        src = "/entry1/indexing/region_of_interest/roi"
-        trg = f"/ENTRY[entry{self.entry_id}]/experiment/indexing/region_of_interest/roi"
-        if src not in h5r.keys():
-            # must not happen, grp is required
-            # print(f"WARNING {src} not found !")
-            return template
-        grp = h5r[src]
-        # MTex HDF5 file uses formatting from matching that of NXem_ebsd
-        template[f"{trg}/title"] = str("Region-of-interest overview image")
-        template[f"{trg}/@signal"] = grp.attrs["signal"]
-        template[f"{trg}/@axes"] = grp.attrs["axes"]
-        template[f"{trg}/@AXISNAME_indices[axis_x_indices]"] = grp.attrs[
-            "axis_x_indices"
-        ]
-        template[f"{trg}/@AXISNAME_indices[axis_y_indices]"] = grp.attrs[
-            "axis_y_indices"
-        ]
-
-        src = "/entry1/indexing/region_of_interest/roi/data"
-        trg = (
-            f"/ENTRY[entry{self.entry_id}]/experiment/indexing"
-            f"/region_of_interest/roi/data"
-        )
-        if src not in h5r.keys():
-            # must not happen, dst is required
-            print(f"{src} not found !")
-            return template
-        dst = h5r[src]
-        template[f"{trg}"] = {"compress": dst[:, :], "strength": 1}
-        template[f"{trg}/@long_name"] = dst.attrs["long_name"]
-        template[f"{trg}/@CLASS"] = "IMAGE"  # required by H5Web to plot RGB maps
-        template[f"{trg}/@IMAGE_VERSION"] = "1.2"
-        template[f"{trg}/@SUBCLASS_VERSION"] = np.int64(15)
-
-        axes_names = ["axis_x", "axis_y"]
-        for axis_name in axes_names:
-            src = f"/entry1/indexing/region_of_interest/roi/{axis_name}"
-            trg = (
-                f"/ENTRY[entry{self.entry_id}]/experiment/indexing/"
-                f"region_of_interest/roi/{axis_name}"
-            )
-            if src not in h5r.keys():
-                # must not happen, dst is required
-                # print(f"{src} not found !")
-                return template
-            dst = h5r[src]
-            template[f"{trg}"] = {"compress": dst[:], "strength": 1}
-            template[f"{trg}/@long_name"] = dst.attrs["long_name"]
-            template[f"{trg}/@units"] = dst.attrs["units"]
-
-        h5r.close()
-        return template
-
-    def parse_phases(self, template: dict) -> dict:
-        """Parse data for the crystal structure models aka phases."""
-        print("Parse crystal_structure_models aka phases...")
-        h5r = h5py.File(self.file_name, "r")
-
-        src = "/entry1/indexing"
-        # mtex2nexus MTex/Matlab scripts writes controlled terms phaseID
-        group_names = [entry for entry in h5r[src].keys() if entry.startswith("phase")]
-        if len(group_names) == 0:
-            return template
-        # group_names end up sorted in ascending order
-        identifier = 1
-        for group_name in group_names:
-            if f"phase{identifier}" != group_name:
-                # must not happen, verifier will complain
-                return template
-            src = f"/entry1/indexing/{group_name}"
-            trg = (
-                f"/ENTRY[entry{self.entry_id}]/experiment/indexing/"
-                f"EM_EBSD_CRYSTAL_STRUCTURE_MODEL"
-                f"[em_ebsd_crystal_structure_model{identifier}]"
-            )
-            template[f"{trg}/phase_identifier"] = h5r[f"{src}/phase_identifier"][0]
-            template[f"{trg}/phase_name"] = str(
-                h5r[f"{src}/phase_name"][()].decode("utf-8")
-            )
-            template[f"{trg}/point_group"] = str(
-                h5r[f"{src}/point_group"][()].decode("utf-8")
-            )
-            dst = h5r[f"{src}/unit_cell_abc"]
-            template[f"{trg}/unit_cell_abc"] = dst[:]
-            template[f"{trg}/unit_cell_abc/@units"] = dst.attrs["units"]
-            dst = h5r[f"{src}/unit_cell_alphabetagamma"]
-            template[f"{trg}/unit_cell_alphabetagamma"] = dst[:]
-            template[f"{trg}/unit_cell_alphabetagamma/@units"] = dst.attrs["units"]
-            identifier += 1
-        h5r.close()
-        return template
-
-    def parse_inverse_pole_figures(self, template: dict) -> dict:
-        """Parse inverse pole figures (IPF) mappings."""
-        print("Parse inverse pole figures (IPFs)...")
-        h5r = h5py.File(self.file_name, "r")
-
-        src = "/entry1/indexing"
-        # mtex2nexus MTex/Matlab scripts writes controlled terms phaseID
-        group_names = [
-            entry for entry in h5r[src].keys() if entry.startswith("ipf_map")
-        ]
-        if len(group_names) == 0:
-            return template
-        # group_names end up sorted in ascending order
-        identifier = 1
-        for group_name in group_names:
-            if f"ipf_map{identifier}" != group_name:
-                # must not happen, verifier will complain that we use incorrect names
-                # print(f"WARNING: {group_name} not found !")
-                return template
-
-            self.parse_inverse_pole_figure_map(h5r, identifier, template)
-            self.parse_inverse_pole_figure_color_key(h5r, identifier, template)
-
-            identifier += 1
-
-        h5r.close()
-        return template
-
-    def parse_inverse_pole_figure_map(self, h5r, identifier, template: dict) -> dict:
-        """Parse inverse-pole-figure (IPF) mappings on their color models."""
-        group_name = f"ipf_map{identifier}"
-        print(f"Parse inverse pole figure (IPF) map for {group_name}...")
-        src = f"/entry1/indexing/{group_name}"
-        trg = (
-            f"/ENTRY[entry{self.entry_id}]/experiment/indexing"
-            f"/PROCESS[ipf_map{identifier}]"
-        )
-        if src not in h5r.keys():
-            # print(f"WARNING: {group_name} not found !")
-            return template
-        template[f"{trg}/bitdepth"] = np.uint32(8)  # h5r[f"{src}/bitdepth"][0]
-        template[f"{trg}/phase_identifier"] = np.uint32(
-            h5r[f"{src}/phase_identifier"][0]
-        )
-        template[f"{trg}/phase_name"] = str(
-            h5r[f"{src}/phase_name"][()].decode("utf-8")
-        )
-        dst = h5r[f"{src}/program"]
-        template[f"{trg}/PROGRAM[program1]/program"] = str(dst[()].decode("utf-8"))
-        template[f"{trg}/PROGRAM[program1]/program/@version"] = dst.attrs["version"]
-        template[f"{trg}/projection_direction"] = np.asarray(
-            [0.0, 0.0, 1.0], np.float32
-        )
-        # there should be a depends on etc
-
-        src = f"/entry1/indexing/{group_name}/ipf_rgb_map"
-        trg = (
-            f"/ENTRY[entry{self.entry_id}]/experiment/indexing/"
-            f"PROCESS[ipf_map{identifier}]/ipf_rgb_map"
-        )
-        if src not in h5r.keys():
-            # must not happen, grp is required
-            # print(f"WARNING: {group_name} not found, ipf_rgb_map !")
-            return template
-        grp = h5r[src]
-        # MTex HDF5 file uses formatting from matching that of NXem_ebsd
-        template[f"{trg}/title"] = str("Inverse pole figure color map")
-        template[f"{trg}/@signal"] = grp.attrs["signal"]
-        template[f"{trg}/@axes"] = grp.attrs["axes"]
-        template[f"{trg}/@AXISNAME_indices[axis_x_indices]"] = grp.attrs[
-            "axis_x_indices"
-        ]
-        template[f"{trg}/@AXISNAME_indices[axis_y_indices]"] = grp.attrs[
-            "axis_y_indices"
-        ]
-
-        src = f"/entry1/indexing/{group_name}/ipf_rgb_map/data"
-        trg = (
-            f"/ENTRY[entry{self.entry_id}]/experiment/indexing/"
-            f"PROCESS[ipf_map{identifier}]/ipf_rgb_map/DATA[data]"
-        )
-        if src not in h5r.keys():
-            # must not happen, dst is required
-            # print(f"WARNING: {group_name} not found, ipf_rgb_map, data !")
-            return template
-        dst = h5r[src]
-        template[f"{trg}"] = {"compress": dst[:, :], "strength": 1}
-        template[f"{trg}/@long_name"] = dst.attrs["long_name"]
-        template[f"{trg}/@CLASS"] = "IMAGE"  # required by H5Web to plot RGB maps
-        template[f"{trg}/@IMAGE_VERSION"] = "1.2"
-        template[f"{trg}/@SUBCLASS_VERSION"] = np.int64(15)
-
-        axes_names = ["axis_x", "axis_y"]
-        for axis_name in axes_names:
-            src = f"/entry1/indexing/{group_name}/ipf_rgb_map/{axis_name}"
-            trg = (
-                f"/ENTRY[entry{self.entry_id}]/experiment/indexing"
-                f"/PROCESS[ipf_map{identifier}]/ipf_rgb_map/AXISNAME[{axis_name}]"
-            )
-            if src not in h5r.keys():
-                # must not happen, dst is required
-                # print(f"WARNING: {group_name} not found, ipf_rgb_map, {axis_name} !")
-                return template
-            dst = h5r[src]
-            template[f"{trg}"] = {"compress": dst[:], "strength": 1}
-            template[f"{trg}/@long_name"] = dst.attrs["long_name"]
-            template[f"{trg}/@units"] = dst.attrs["units"]
-
-        return template
-
-    def parse_inverse_pole_figure_color_key(
-        self, h5r, identifier, template: dict
-    ) -> dict:
-        """Parse color key renderings of inverse-pole-figure (IPF) mappings."""
-        group_name = f"ipf_map{identifier}"
-        print(f"Parse inverse pole figure (IPF) color key {group_name}...")
-        src = f"/entry1/indexing/{group_name}/ipf_rgb_color_model"
-        trg = (
-            f"/ENTRY[entry{self.entry_id}]/experiment/indexing"
-            f"/PROCESS[ipf_map{identifier}]/ipf_rgb_color_model"
-        )
-        if src not in h5r.keys():
-            # must not happen, grp is required
-            # print(f"WARNING: {group_name} not found, ipf_rgb_color_model")
-            return template
-        grp = h5r[src]
-        template[f"{trg}/title"] = str("Inverse pole figure color key with SST")
-        template[f"{trg}/@signal"] = grp.attrs["signal"]
-        template[f"{trg}/@axes"] = grp.attrs["axes"]
-        template[f"{trg}/@AXISNAME_indices[axis_x_indices]"] = grp.attrs[
-            "axis_x_indices"
-        ]
-        template[f"{trg}/@AXISNAME_indices[axis_y_indices]"] = grp.attrs[
-            "axis_y_indices"
-        ]
-
-        src = f"/entry1/indexing/{group_name}/ipf_rgb_color_model/data"
-        trg = (
-            f"/ENTRY[entry{self.entry_id}]/experiment/indexing"
-            f"/PROCESS[ipf_map{identifier}]/ipf_rgb_color_model/DATA[data]"
-        )
-        if src not in h5r.keys():
-            # must not happen, dst is required
-            # print(f"WARNING: {group_name} not found, ipf_rgb_color_model, data")
-            return template
-        dst = h5r[src]
-        template[f"{trg}"] = {"compress": dst[:, :], "strength": 1}
-        template[f"{trg}/@long_name"] = dst.attrs["long_name"]
-        template[f"{trg}/@CLASS"] = "IMAGE"
-        template[f"{trg}/@IMAGE_VERSION"] = "1.2"
-        template[f"{trg}/@SUBCLASS_VERSION"] = np.int64(15)
-
-        axes_names = ["axis_x", "axis_y"]
-        for axis_name in axes_names:
-            src = f"/entry1/indexing/{group_name}/ipf_rgb_color_model/{axis_name}"
-            trg = (
-                f"/ENTRY[entry{self.entry_id}]/experiment/indexing"
-                f"/PROCESS[ipf_map{identifier}]/ipf_rgb_color_model"
-                f"/AXISNAME[{axis_name}]"
-            )
-            if src not in h5r.keys():
-                # must not happen, dst is required
-                # print(f"WARNING: {group_name} not found,
-                # ipf_rgb_color_model, {axis_name}")
-                return template
-            dst = h5r[src]
-            template[f"{trg}"] = {"compress": dst[:], "strength": 1}
-            template[f"{trg}/@long_name"] = dst.attrs["long_name"]
-            template[f"{trg}/@units"] = str("px")
-
-        return template
-
-    def parse(self, template: dict) -> dict:
-        """Parse metadata and numerical data."""
-        print("Parsing MTex EBSD data...")
-        print(f"{self.file_name}")
-        print(f"{self.entry_id}")
-        # extract data from intermediate HDF5 file and transfer these to the template
-        self.parse_roi_default_plot(template)
-        self.parse_phases(template)
-        self.parse_inverse_pole_figures(template)
-        return template
diff --git a/pynxtools/dataconverter/readers/em_om/utils/orix_ebsd_parser.py b/pynxtools/dataconverter/readers/em_om/utils/orix_ebsd_parser.py
deleted file mode 100644
index 85c66f7ba..000000000
--- a/pynxtools/dataconverter/readers/em_om/utils/orix_ebsd_parser.py
+++ /dev/null
@@ -1,565 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Parse H5OINA and create IPF color map default plots using the pyxem/orix library."""
-
-# pylint: disable=no-member,duplicate-code,unsubscriptable-object,comparison-with-callable
-
-# https://orix.readthedocs.io/en/stable/tutorials/inverse_pole_figures.html
-
-# type: ignore
-
-import os
-
-from typing import Dict, Any, List
-
-import matplotlib.pyplot as plt
-
-import numpy as np
-
-import h5py
-
-# import imageio.v3 as iio
-from PIL import Image as pil
-
-import diffsims
-import orix
-from diffpy.structure import Lattice, Structure
-from orix import plot
-from orix.crystal_map import create_coordinate_arrays, CrystalMap, PhaseList
-from orix.quaternion import Rotation
-from orix.vector import Vector3d
-
-from pynxtools.dataconverter.readers.em_om.utils.image_transform import thumbnail
-
-from pynxtools.dataconverter.readers.em_om.utils.em_nexus_plots import (
-    HFIVE_WEB_MAX_SIZE,
-)
-
-orix_params = {
-    "figure.facecolor": "w",
-    "figure.figsize": (8, 8),
-    "lines.markersize": 10,
-    "font.size": 15,
-    "axes.grid": True,
-}  # 20, 7),
-plt.rcParams.update(orix_params)
-
-# https://orix.readthedocs.io/ for details about the orix lib
-# https://www.diffpy.org/diffpy.structure/package.html for details about the diffpy lib
-
-
-class NxEmOmOrixEbsdParser:
-    """Parse *.h5oina EBSD data."""
-
-    def __init__(self, file_name, entry_id):
-        """Class wrapping pyxem/orix H5OINA parser."""
-        # this is one example which should be extended to kikuchipy but this should
-        # be done together with Hakon and Knut Marthinsen's team or the pyxem developers
-        # the reason why I went for a standalone parser was that kikuchipy v0.7.0 which
-        # I had available when implementing this example was that *.h5oina files
-        # were forced to have Kikuchi pattern in them. However, in *.h5oina the patterns
-        # are optional and this was also the situation for the example file
-        # which the EBSD system technology partner Oxford Instrument provided to me
-        self.file_names = file_name
-        self.entry_id = entry_id
-        self.oina_version_identifier = "5.0"
-        self.xaxis: List[float] = []
-        self.yaxis: List[float] = []
-        self.xmap = CrystalMap
-        self.oina: Dict[str, Any] = {
-            "n_slices": 1,
-            "rotation": Rotation,
-            "scan_point_x": [],
-            "scan_point_y": [],
-            "phase_identifier": [],
-            "band_contrast": [],
-            "scan_size": [0, 0],
-            "scan_step": [0.0, 0.0],
-            "scan_unit": ["n/a", "n/a"],
-            "phase": [],
-            "space_group": [],
-        }
-        # y (aka height), x (aka width) !
-
-    def parse_h5oina(self, slice_id):
-        """Parse content from *.h5oina format."""
-        # https://github.com/oinanoanalysis/h5oina/blob/master/H5OINAFile.md
-        # here implementing version 5.0
-        # in this implementation we load all data in main memory, for stream processing
-        # when the data are really large one would rather load the data array metadata
-        # dtype, size, shape and use lazy loading instead or successive loading
-        # file_names is file name
-        h5r = h5py.File(self.file_names, "r")
-        self.oina_version_identifier = h5r["/Format Version"][0].decode("utf-8")
-        self.oina["n_slices"] = h5r["/Index"][0]
-        print(
-            f"H5OINA v{self.oina_version_identifier} has {self.oina['n_slices']} slices"
-        )
-        if self.oina_version_identifier != "5.0" or self.oina["n_slices"] != 1:
-            print("This examples supports H5OINA only in version 5.0 with one slice!")
-            return
-
-        self.parse_h5oina_ebsd_data(h5r, slice_id)
-        self.parse_h5oina_ebsd_header(h5r, slice_id)
-
-        group_names = []
-        group_name = f"/{slice_id}/EBSD/Header/Phases"
-        if group_name in h5r:
-            group_names = sorted(list(h5r[group_name].keys()), key=int)
-        for name in group_names:
-            self.parse_h5oina_phase(h5r, slice_id, name)
-
-        h5r.close()
-        self.generate_xmap()
-
-    def parse_h5oina_ebsd_data(self, h5r, slice_id):
-        """Parse EBSD data section for specific slice."""
-        group_name = f"/{slice_id}/EBSD/Data"
-        # required entries in v5.0
-        dset_name = f"{group_name}/Euler"
-        if dset_name in h5r:
-            self.oina["rotation"] = Rotation.from_euler(
-                euler=h5r[dset_name], direction="lab2crystal", degrees=False
-            )  # rad in v5.0
-        dset_name = f"{group_name}/Phase"
-        if dset_name in h5r:
-            self.oina["phase_identifier"] = np.asarray(h5r[dset_name], np.int32)
-
-        # optional entries in v5.0
-        dset_name = f"{group_name}/X"  # v5.0, top-left-corner µm
-        if dset_name in h5r:
-            self.oina["scan_point_x"] = np.asarray(h5r[dset_name], np.float32)
-        dset_name = f"{group_name}/Y"  # v5.0, top-left-corner µm
-        if dset_name in h5r:
-            self.oina["scan_point_y"] = np.asarray(h5r[dset_name], np.float32)
-        dset_name = f"{group_name}/Band Contrast"
-        if (
-            dset_name in h5r
-        ):  # is not required but should how else to create a ROI image
-            self.oina["band_contrast"] = np.asarray(h5r[dset_name], np.uint8)
-
-    def parse_h5oina_ebsd_header(self, h5r, slice_id):
-        """Parse EBSD header section for specific slice."""
-        group_name = f"/{slice_id}/EBSD/Header"
-        dset_name = f"{group_name}/Y Cells"  # v5.0 height of the map
-        if dset_name in h5r:
-            self.oina["scan_size"][0] = h5r[dset_name][0]
-        dset_name = f"{group_name}/X Cells"  # v5.0 width of the map
-        if dset_name in h5r:
-            self.oina["scan_size"][1] = h5r[dset_name][0]
-        dset_name = f"{group_name}/Y Step"  # v5.0, µm
-        if dset_name in h5r:
-            dst_y = h5r[dset_name]
-            self.oina["scan_step"][0] = dst_y[0]
-            if "Unit" in dst_y.attrs:
-                self.oina["scan_unit"][0] = dst_y.attrs["Unit"]
-        dset_name = f"{group_name}/X Step"  # v5.0, µm
-        if dset_name in h5r:
-            dst_x = h5r[dset_name]
-            self.oina["scan_step"][1] = dst_x[0]
-            if "Unit" in dst_x.attrs:
-                self.oina["scan_unit"][1] = dst_x.attrs["Unit"]
-        # ##MK:: check that all data in the self.oina are consistent
-
-    def parse_h5oina_phase(self, h5r, slice_id, name):
-        """Parse one phase."""
-        print(f"Loading phase {name}...")
-        # required in v5.0
-        sub_group_name = f"/{slice_id}/EBSD/Header/Phases/{name}"
-        dset_name = f"{sub_group_name}/Phase Name"
-        if dset_name in h5r:
-            phase_name = h5r[dset_name][0].decode("utf-8")
-        # "Reference", but even examples from Oxford place no DOIs here
-        dset_name = f"{sub_group_name}/Lattice Angles"
-        if dset_name in h5r:
-            alpha_beta_gamma = np.asarray(h5r[dset_name][:].flatten()) / np.pi * 180.0
-            # rad2deg
-        dset_name = f"{sub_group_name}/Lattice Dimensions"
-        if dset_name in h5r:
-            a_b_c = np.asarray(h5r[dset_name][:].flatten()) * 0.1
-            # angstroem2nm
-
-        # optional in v5.0
-        # many inconsistencies and metadata cluttering by design across
-        # tools of the community and of technology partners:
-        # e.g. MTex uses point group required, Oxford uses space group but
-        # optional, neither of them store atom positions and
-        # computed intensities because for this there are other files...
-        dset_name = f"{sub_group_name}/Space Group"
-        if dset_name in h5r:
-            space_group = int(h5r[dset_name][0])
-            self.oina["space_group"].append(space_group)
-
-        self.oina["phase"].append(
-            Structure(
-                title=phase_name,
-                atoms=None,
-                lattice=Lattice(
-                    a_b_c[0],
-                    a_b_c[1],
-                    a_b_c[2],
-                    alpha_beta_gamma[0],
-                    alpha_beta_gamma[1],
-                    alpha_beta_gamma[2],
-                ),
-            )
-        )
-
-    def generate_xmap(self):
-        """Generate the orientation map and orix/diffsims data structures."""
-        coordinates, _ = create_coordinate_arrays(
-            (self.oina["scan_size"][0], self.oina["scan_size"][1]),
-            (self.oina["scan_step"][0], self.oina["scan_step"][1]),
-        )
-        self.xaxis = coordinates["x"]
-        self.yaxis = coordinates["y"]
-        del coordinates
-
-        # orix expects non-indexed scan points to have phase_id -1
-        # while H5OINA v5.0 specifies that such points have phase ID 0
-        # H5OINA v5.0 specifies further one subgroup per phase
-        # phase_identifier starting at 1, as non-indexed points do not belong to a phase
-        self.oina["phase_identifier"] = self.oina["phase_identifier"] - 1
-        print(np.unique(self.oina["phase_identifier"]))
-
-        self.xmap = CrystalMap(
-            rotations=self.oina["rotation"],
-            x=self.xaxis,
-            y=self.yaxis,
-            phase_id=self.oina["phase_identifier"],
-            phase_list=PhaseList(
-                space_groups=self.oina["space_group"], structures=self.oina["phase"]
-            ),
-            prop={"bc": self.oina["band_contrast"]},
-            scan_unit=self.oina["scan_unit"],
-        )
-        print(self.xmap)
-
-    def parse_roi_default_plot(self, template: dict) -> dict:
-        """Parse data for the region-of-interest default plot."""
-        print("Parse ROI default plot...")
-        trg = f"/ENTRY[entry{self.entry_id}]/experiment/indexing/region_of_interest"
-        template[f"{trg}/descriptor"] = str("normalized_band_contrast")
-        # ##MK:: need a better strategy here because the descriptor
-        # band contrast is not a required field in v5.0,
-        # thus it should not be hardcoded and assumed that it is present
-        # but there is also no other field in v5.0 that could stand in as a descriptor
-
-        trg = f"/ENTRY[entry{self.entry_id}]/experiment/indexing/region_of_interest/roi"
-        template[f"{trg}/title"] = str("Region-of-interest overview image")
-        template[f"{trg}/@signal"] = "data"
-        template[f"{trg}/@axes"] = ["axis_y", "axis_x"]
-        template[f"{trg}/@AXISNAME_indices[axis_x_indices]"] = np.uint32(0)
-        template[f"{trg}/@AXISNAME_indices[axis_y_indices]"] = np.uint32(1)
-
-        trg = (
-            f"/ENTRY[entry{self.entry_id}]/experiment/indexing"
-            f"/region_of_interest/roi/data"
-        )
-        template[f"{trg}"] = {
-            "compress": np.reshape(
-                np.asarray(
-                    np.asarray(
-                        (self.xmap.bc / np.max(self.xmap.bc) * 255.0), np.uint32
-                    ),
-                    np.uint8,
-                ),
-                (self.xmap.shape[0], self.xmap.shape[1]),
-                order="C",
-            ),
-            "strength": 1,
-        }
-        # 0 is y while 1 is x !
-        template[f"{trg}/@long_name"] = "Signal"
-        template[f"{trg}/@CLASS"] = "IMAGE"  # required by H5Web to plot RGB maps
-        template[f"{trg}/@IMAGE_VERSION"] = "1.2"
-        template[f"{trg}/@SUBCLASS_VERSION"] = np.int64(15)
-
-        trg = (
-            f"/ENTRY[entry{self.entry_id}]/experiment/indexing"
-            f"/region_of_interest/roi/axis_x"
-        )
-        template[f"{trg}"] = {
-            "compress": np.asarray(
-                0.5 * self.oina["scan_step"][1] + self.xaxis[0 : self.xmap.shape[1]],
-                np.float32,
-            ),
-            "strength": 1,
-        }
-        template[
-            f"{trg}/@long_name"
-        ] = f"Calibrated coordinate along x-axis ({self.oina['scan_unit'][1]})"
-        template[f"{trg}/@units"] = self.oina["scan_unit"][1]
-
-        trg = (
-            f"/ENTRY[entry{self.entry_id}]/experiment/indexing"
-            f"/region_of_interest/roi/axis_y"
-        )
-        template[f"{trg}"] = {
-            "compress": np.asarray(
-                0.5 * self.oina["scan_step"][0]
-                + self.yaxis[0 : self.xmap.size : self.xmap.shape[1]],
-                np.float32,
-            ),
-            "strength": 1,
-        }
-        template[
-            f"{trg}/@long_name"
-        ] = f"Calibrated coordinate along y-axis ({self.oina['scan_unit'][0]})"
-        template[f"{trg}/@units"] = self.oina["scan_unit"][0]
-        return template
-
-    def parse_phases(self, template: dict) -> dict:
-        """Parse data for the crystal structure models aka phases."""
-        print("Parse crystal_structure_models aka phases...")
-        identifier = 1
-        # identifier match because phase is a list asc. sorted by numerical keys
-        for phase in self.oina["phase"]:
-            trg = (
-                f"/ENTRY[entry{self.entry_id}]/experiment/indexing/"
-                f"EM_EBSD_CRYSTAL_STRUCTURE_MODEL"
-                f"[em_ebsd_crystal_structure_model{identifier}]"
-            )
-            template[f"{trg}/phase_identifier"] = np.uint32(identifier)
-            template[f"{trg}/phase_name"] = str(phase.title)
-            template[f"{trg}/unit_cell_abc"] = np.asarray(
-                [phase.lattice.a, phase.lattice.b, phase.lattice.c], np.float32
-            )
-            template[f"{trg}/unit_cell_abc/@units"] = "nm"
-            template[f"{trg}/unit_cell_alphabetagamma"] = np.asarray(
-                [phase.lattice.alpha, phase.lattice.beta, phase.lattice.gamma],
-                np.float32,
-            )
-            template[f"{trg}/unit_cell_alphabetagamma/@units"] = "°"
-            identifier += 1
-        return template
-
-    def parse_inverse_pole_figures(self, template: dict) -> dict:
-        """Parse inverse pole figures (IPF) mappings."""
-        print("Parse inverse pole figures (IPFs)...")
-        print(len(self.oina["phase"]))
-        # identifier match because phase is a list asc. sorted by numerical keys
-        for identifier in np.arange(0, np.max(self.xmap.phase_id) + 1):
-            self.parse_inverse_pole_figure_map(identifier, template)
-            self.parse_inverse_pole_figure_color_key(identifier, template)
-            identifier += 1
-
-        return template
-
-    def parse_inverse_pole_figure_map(self, identifier, template: dict) -> dict:
-        """Parse and create inverse-pole-figure (IPF) mappings on their color models."""
-        # +1 because for orix not_indexed -1 and "first" phase has ID 0 !
-        phase_id = identifier + 1
-        phase_name = self.xmap.phases[identifier].name
-        print(
-            f"Generate inverse pole figure (IPF) map for {identifier}, {phase_name}..."
-        )
-
-        phase_id_ipf_key = plot.IPFColorKeyTSL(
-            self.xmap.phases[identifier].point_group.laue, direction=Vector3d.zvector()
-        )
-
-        rgb_px_with_phase_id = np.asarray(
-            np.asarray(
-                phase_id_ipf_key.orientation2color(self.xmap[phase_name].rotations)
-                * 255.0,
-                np.uint32,
-            ),
-            np.uint8,
-        )
-
-        ipf_rgb_map = np.asarray(
-            np.uint8(np.zeros((self.xmap.shape[0] * self.xmap.shape[1], 3)) * 255.0)
-        )
-        # background is black instead of white (which would be more pleasing)
-        # but IPF color maps have a whitepoint which encodes in fact an orientation
-        # and because of that we may have a single crystal with an orientation
-        # close to the whitepoint which become a fully white seemingly "empty" image
-        ipf_rgb_map[self.xmap.phase_id == identifier, :] = rgb_px_with_phase_id
-        ipf_rgb_map = np.reshape(
-            ipf_rgb_map, (self.xmap.shape[0], self.xmap.shape[1], 3), order="C"
-        )  # 0 is y while 1 is x !
-
-        trg = (
-            f"/ENTRY[entry{self.entry_id}]/experiment/indexing"
-            f"/PROCESS[ipf_map{phase_id}]"
-        )
-        template[f"{trg}/bitdepth"] = np.uint32(8)
-        template[f"{trg}/phase_identifier"] = np.uint32(phase_id)
-        template[f"{trg}/phase_name"] = str(phase_name)
-        template[f"{trg}/PROGRAM[program1]/program"] = str("orix")
-        template[f"{trg}/PROGRAM[program1]/program/@version"] = orix.__version__
-        template[f"{trg}/PROGRAM[program2]/program"] = str("diffsims")
-        template[f"{trg}/PROGRAM[program2]/program/@version"] = diffsims.__version__
-        template[f"{trg}/projection_direction"] = np.asarray(
-            [0.0, 0.0, 1.0], np.float32
-        )
-        # should have a reference so that it is directly interpretable
-
-        trg = (
-            f"/ENTRY[entry{self.entry_id}]/experiment/indexing/"
-            f"PROCESS[ipf_map{phase_id}]/ipf_rgb_map"
-        )
-        template[f"{trg}/title"] = str("Inverse pole figure color map")
-        template[f"{trg}/@signal"] = "data"
-        template[f"{trg}/@axes"] = ["axis_y", "axis_x"]
-        template[f"{trg}/@AXISNAME_indices[axis_x_indices]"] = np.uint32(0)
-        template[f"{trg}/@AXISNAME_indices[axis_y_indices]"] = np.uint32(1)
-        trg = (
-            f"/ENTRY[entry{self.entry_id}]/experiment/indexing/"
-            f"PROCESS[ipf_map{phase_id}]/ipf_rgb_map/DATA[data]"
-        )
-        template[f"{trg}"] = {"compress": ipf_rgb_map, "strength": 1}
-        template[f"{trg}/@CLASS"] = "IMAGE"  # required by H5Web to plot RGB maps
-        template[f"{trg}/@IMAGE_VERSION"] = "1.2"
-        template[f"{trg}/@SUBCLASS_VERSION"] = np.int64(15)
-
-        # dimension scale axes value arrays same for each phase, entire IPF map
-        trg = (
-            f"/ENTRY[entry{self.entry_id}]/experiment/indexing/"
-            f"PROCESS[ipf_map{phase_id}]/ipf_rgb_map/axis_x"
-        )
-        template[f"{trg}"] = {
-            "compress": np.asarray(
-                0.5 * self.oina["scan_step"][1] + self.xaxis[0 : self.xmap.shape[1]],
-                np.float32,
-            ),
-            "strength": 1,
-        }
-        template[
-            f"{trg}/@long_name"
-        ] = f"Calibrated coordinate along x-axis ({self.oina['scan_unit'][1]})"
-        template[f"{trg}/@units"] = self.oina["scan_unit"][1]
-
-        trg = (
-            f"/ENTRY[entry{self.entry_id}]/experiment/indexing/"
-            f"PROCESS[ipf_map{phase_id}]/ipf_rgb_map/axis_y"
-        )
-        template[f"{trg}"] = {
-            "compress": np.asarray(
-                0.5 * self.oina["scan_step"][0]
-                + self.yaxis[0 : self.xmap.size : self.xmap.shape[1]],
-                np.float32,
-            ),
-            "strength": 1,
-        }
-        template[
-            f"{trg}/@long_name"
-        ] = f"Calibrated coordinate along y-axis ({self.oina['scan_unit'][0]})"
-        template[f"{trg}/@units"] = self.oina["scan_unit"][0]
-
-        return template
-
-    def parse_inverse_pole_figure_color_key(self, identifier, template: dict) -> dict:
-        """Parse color key renderings of inverse-pole-figure (IPF) mappings."""
-        # +1 because for orix not_indexed -1 and "first" phase has ID 0 !
-        phase_id = identifier + 1
-        phase_name = self.xmap.phases[identifier].name
-        print(
-            f"Parse inverse pole figure (IPF) color key {identifier}, {phase_name}..."
-        )
-
-        phase_id_ipf_key = plot.IPFColorKeyTSL(
-            self.xmap.phases[identifier].point_group.laue, direction=Vector3d.zvector()
-        )
-
-        # render domain-specific IPF color keys using orix
-        fig = phase_id_ipf_key.plot(return_figure=True)
-        fig.savefig(
-            "temporary.png",
-            dpi=300,
-            facecolor="w",
-            edgecolor="w",
-            orientation="landscape",
-            format="png",
-            transparent=False,
-            bbox_inches="tight",
-            pad_inches=0.1,
-            metadata=None,
-        )
-        # constraint further to 8bit RGB and no flipping
-        # im = np.asarray(imageio.v3.imread(symm_name))
-        img = np.asarray(
-            thumbnail(pil.open("temporary.png", "r", ["png"]), size=HFIVE_WEB_MAX_SIZE),
-            np.uint8,
-        )
-        img = img[:, :, 0:3]  # discard alpha channel
-        if os.path.exists("temporary.png"):
-            os.remove("temporary.png")
-        # ##MK::need to constrain more the writing of the image that it is guaranteed
-        # a specific type of image and bitdepth and color model, and avoid implicit
-        # image transformations such as flips or rotations
-
-        trg = (
-            f"/ENTRY[entry{self.entry_id}]/experiment/indexing"
-            f"/PROCESS[ipf_map{phase_id}]/ipf_rgb_color_model"
-        )
-        template[f"{trg}/title"] = str("Inverse pole figure color key with SST")
-        template[f"{trg}/@signal"] = "data"
-        template[f"{trg}/@axes"] = ["axis_y", "axis_x"]
-        template[f"{trg}/@AXISNAME_indices[axis_x_indices]"] = np.uint32(0)
-        template[f"{trg}/@AXISNAME_indices[axis_y_indices]"] = np.uint32(1)
-        trg = (
-            f"/ENTRY[entry{self.entry_id}]/experiment/indexing"
-            f"/PROCESS[ipf_map{phase_id}]/ipf_rgb_color_model/DATA[data]"
-        )
-        template[f"{trg}"] = {"compress": img, "strength": 1}
-        template[f"{trg}/@CLASS"] = "IMAGE"
-        template[f"{trg}/@IMAGE_VERSION"] = "1.2"
-        template[f"{trg}/@SUBCLASS_VERSION"] = np.int64(15)
-
-        trg = (
-            f"/ENTRY[entry{self.entry_id}]/experiment/indexing"
-            f"/PROCESS[ipf_map{phase_id}]/ipf_rgb_color_model/AXISNAME[axis_y]"
-        )
-        template[f"{trg}"] = {
-            "compress": np.asarray(
-                np.linspace(1, np.shape(img)[0], num=np.shape(img)[0], endpoint=True),
-                np.uint32,
-            ),
-            "strength": 1,
-        }
-        template[f"{trg}/@long_name"] = "Pixel along y-axis"
-        template[f"{trg}/@units"] = "px"
-
-        trg = (
-            f"/ENTRY[entry{self.entry_id}]/experiment/indexing"
-            f"/PROCESS[ipf_map{phase_id}]/ipf_rgb_color_model/AXISNAME[axis_x]"
-        )
-        template[f"{trg}"] = {
-            "compress": np.asarray(
-                np.linspace(1, np.shape(img)[1], num=np.shape(img)[1], endpoint=True),
-                np.uint32,
-            ),
-            "strength": 1,
-        }
-        template[f"{trg}/@long_name"] = "Pixel along x-axis"
-        template[f"{trg}/@units"] = "px"
-
-        return template
-
-    def parse(self, template: dict) -> dict:
-        """Parse NOMAD OASIS relevant data and metadata from an H5OINA file."""
-        print("Parsing EBSD data pyxem/orix-style for an H5OINA example...")
-        print(self.file_names)
-        print(f"{self.entry_id}")
-        self.parse_h5oina(1)
-        self.parse_roi_default_plot(template)
-        self.parse_phases(template)
-        self.parse_inverse_pole_figures(template)
-        return template
diff --git a/pynxtools/dataconverter/readers/em_om/utils/use_case_selector.py b/pynxtools/dataconverter/readers/em_om/utils/use_case_selector.py
deleted file mode 100644
index ea9ce4f17..000000000
--- a/pynxtools/dataconverter/readers/em_om/utils/use_case_selector.py
+++ /dev/null
@@ -1,171 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Utility class handling which community/technology partner files for em_om reader."""
-
-# pylint: disable=no-member,duplicate-code
-
-from typing import Tuple, Dict, List
-
-
-class EmOmUseCaseSelector:  # pylint: disable=too-few-public-methods
-    """Decision maker about what needs to be parsed given arbitrary input.
-
-    Users might invoke this dataconverter with arbitrary input, no input, or
-    too much input. The UseCaseSelector decides what to do in each case.
-    """
-
-    def __init__(self, file_paths: Tuple[str] = None):
-        """Analyze with which parser(s) (if any) input can be handled."""
-        self.mime_types: Dict[str, list] = {}
-        self.eln_parser_type: str = "none"
-        self.eln: List[str] = []
-        self.dat_parser_type: str = "none"
-        self.dat: List[str] = []
-        self.is_valid = False
-
-        self.analyze_mime_types(file_paths)
-        self.identify_case()
-
-    def analyze_mime_types(self, file_paths: Tuple[str] = None):
-        """Accept/reject and organize input-files based on mime-type."""
-        self.supported_mime_types = ["yaml", "yml", "h5oina", "mtex", "zip", "dream3d"]
-        # "score", "qube", "paradis", "ang", "cpr", "crc", "damask via dream3d"
-        for mime_type in self.supported_mime_types:
-            self.mime_types[mime_type] = []
-        for file_name in file_paths:
-            index = file_name.lower().rfind(".")
-            if index >= 0:
-                suffix = file_name.lower()[index + 1 : :]
-                add = (suffix in self.supported_mime_types) and (
-                    file_name not in self.mime_types[suffix]
-                )
-                if add is True:
-                    self.mime_types[suffix].append(file_name)
-        print(self.mime_types)
-
-    def identify_case(self):
-        """Identify which sub-parsers to use if any based on input mime_types."""
-        # eln
-        self.is_valid = False
-        for mime_type in ["yaml", "yml"]:
-            self.eln += self.mime_types[mime_type]
-        if len(self.eln) == 1:
-            self.eln_parser_type = "generic"
-            self.is_valid = True
-        else:
-            self.eln_parser_type = "none"
-
-        # (heavy) data from community or technology partners
-        if self.needs_orix_parser() is True:
-            self.dat += self.mime_types["h5oina"]
-            if len(self.dat) == 1:
-                self.dat_parser_type = "orix"
-        elif self.needs_mtex_parser() is True:
-            self.dat += self.mime_types["mtex"]
-            if len(self.dat) == 1:
-                self.dat_parser_type = "mtex"
-        elif self.needs_zip_parser() is True:
-            self.dat += self.mime_types["zip"]
-            if len(self.dat) == 1:
-                self.dat_parser_type = "zip"
-        elif self.needs_dreamthreed_parser() is True:
-            self.dat += self.mime_types["dream3d"]
-            if len(self.dat) == 1:
-                self.dat_parser_type = "dream3d"
-        # elif self.needs_kikuchipy_parser() is True:
-        #     self.dat_parser_type = "kikuchipy"
-        # elif self.needs_score_parser() is True:
-        #     self.dat_parser_type = "score"
-        # elif self.needs_qube_parser() is True:
-        #     self.dat_parser_type = "qube"
-        # elif self.needs_paradis_parser() is True:
-        #     self.dat_parser_type = "paradis"
-        # elif self.needs_brinckmann_parser() is True:
-        #     self.dat_parser_type = "brinckmann"
-        else:
-            self.dat_parser_type = "none"
-
-        # if self.eln_parser_type != "none":  # and (self.dat_parser_type != "none"):
-        print("Input suggests to use the following sub-parsers:")
-        print(f"ELN parser: {self.eln_parser_type}")
-        print(self.eln)
-        print(f"Data parser: {self.dat_parser_type}")
-        print(self.dat)
-        # self.is_valid = True
-        print(f"Input suggests that parsing is valid: {self.is_valid}")
-
-    def needs_orix_parser(self):
-        """Check if input suggests to use orix parser or not."""
-        if "h5oina" in self.mime_types:
-            if len(self.mime_types["h5oina"]) == 1:
-                return True
-        return False
-
-    def needs_mtex_parser(self):
-        """Check if input suggests to use MTex parser or not."""
-        if "mtex" in self.mime_types:
-            if len(self.mime_types["mtex"]) == 1:
-                return True
-        return False
-
-    def needs_zip_parser(self):
-        """Check if input suggests to use zipfile parser for generic pattern or not."""
-        if "mtex" in self.mime_types:
-            if len(self.mime_types["zip"]) == 1:
-                return True
-        return False
-
-    def needs_dreamthreed_parser(self):
-        """Check if input suggests to use DREAM.3D parser or not."""
-        if "dream3d" in self.mime_types:
-            if len(self.mime_types["dream3d"]) == 1:
-                return True
-        return False
-
-    def needs_kikuchipy_parser(self):
-        """Check if input suggests to use kikuchipy parser or not."""
-        return False
-
-    def needs_score_parser(self):
-        """Check if input suggests to use SCORE cellular automaton model parser or not."""
-        return False
-
-    def needs_qube_parser(self):
-        """Check if input suggests to use Bruker QUBE parser or not."""
-        return False
-
-    def needs_paradis_parser(self):
-        """Check if input suggests to use ParaDIS DDD parser or not."""
-        return False
-
-    def needs_brinckmann_parser(self):
-        """Check if input suggests to use S. Brinckmann's EBSD parser or not."""
-        return False
-
-    #     """Check if input suggests to use Brinckmann parser or not."""
-    #     if len(self.mime_types["cpr"]) == 1 and len(self.mime_types["crc"]) == 1:
-    #         # HKL Channel 5 cpr/crc file should be a pair with the same file name
-    #         if self.mime_types["cpr"][0].lower().replace(".cpr", "") \
-    #             == self.mime_types["crc"][0].lower().replace(".crc", ""):
-    #             # add files to self.dat
-    #             return True
-    #     if len(self.mime_types["ang"]) == 1:
-    #         # consider in the future to use rather the kikuchipy or MTex parser
-    #         # add files to self.dat
-    #         return True
-    #     return False
diff --git a/pynxtools/dataconverter/readers/em_om/utils/versioning.py b/pynxtools/dataconverter/readers/em_om/utils/versioning.py
deleted file mode 100644
index ed0c6a6cd..000000000
--- a/pynxtools/dataconverter/readers/em_om/utils/versioning.py
+++ /dev/null
@@ -1,31 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Utility tool constants and versioning."""
-
-# pylint: disable=no-member
-
-from pynxtools.dataconverter.readers.shared.shared_utils import get_repo_last_commit
-
-
-NX_EM_OM_ADEF_NAME = "NXem_ebsd"
-NX_EM_OM_ADEF_VERSION = (
-    "nexus-fairmat-proposal successor of " "9636feecb79bb32b828b1a9804269573256d7696"
-)
-# based on https://fairmat-experimental.github.io/nexus-fairmat-proposal
-NX_EM_OM_EXEC_NAME = "dataconverter/reader/em_om/reader.py"
-NX_EM_OM_EXEC_VERSION = get_repo_last_commit()
diff --git a/pynxtools/dataconverter/readers/em_om/utils/zip_ebsd_parser.py b/pynxtools/dataconverter/readers/em_om/utils/zip_ebsd_parser.py
deleted file mode 100644
index b403b9c77..000000000
--- a/pynxtools/dataconverter/readers/em_om/utils/zip_ebsd_parser.py
+++ /dev/null
@@ -1,221 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Parse Kikuchi pattern from a ZIP file without temporary copies of unpacked files."""
-
-# pylint: disable=no-member,duplicate-code
-
-# https://orix.readthedocs.io/en/stable/tutorials/inverse_pole_figures.html
-
-# type: ignore
-
-# from typing import Dict, Any, List
-
-import re
-
-import numpy as np
-
-from zipfile37 import ZipFile
-
-# import imageio.v3 as iio
-from PIL import Image as pil
-
-from pynxtools.dataconverter.readers.em_om.utils.em_nexus_plots import (
-    HFIVE_WEB_MAX_SIZE,
-)
-
-
-class NxEmOmZipEbsdParser:
-    """Parse *.zip EBSD data."""
-
-    def __init__(self, file_name, entry_id):
-        """Class wrapping zip parser."""
-        # this is one example which should be extended to support reading of
-        # EBSD pattern simulations and/or generic EBSD pattern in a zip file
-        # frequently pattern are stored as individual images and then compressed
-        # and uploaded to online repositories like zenodo
-        # this rips these data out of their context, instead one should better
-        # create an application definition which interfaces how a computer simulation
-        # exports these pattern into a common format (e.g. some of the HDF5 variants)
-        self.file_name = file_name
-        self.entry_id = entry_id
-        self.stack_meta = {}
-        self.stack = []
-
-    def parse_zip(self, template: dict) -> dict:
-        """Parse content from *.zip format."""
-        with ZipFile(self.file_name) as zip_file_hdl:
-            # print(zip_file_hdl.namelist())
-            # identify first the content in this archive
-            # ASSUME that pattern have numeral components in their file name
-            zip_content_table = {}
-            for file in zip_file_hdl.namelist():
-                keyword = str(np.uint64(re.sub("[^0-9]", "", file)))
-                if len(keyword) > 0 and keyword not in zip_content_table:
-                    zip_content_table[keyword] = file
-                else:
-                    print("WARNING::Automatically derived name is not unique!")
-                    return template
-            # not all content though qualifies as Kikuchi pattern
-            # people can trick an algorithm always
-            #     like camouflage an image file for a text file
-            #     upload images which have not the same dimensions
-            #     upload images which are for sure not Kikuchi pattern and in fact
-            # the last point is highly relevant for NOMAD assume a public instance
-            # one could easily inject here inappropriate or illegal material...
-
-            # ASSUME first image specifies file type and dimensions for all pattern to come
-            # ...here we immediately see how problematic custom directory structures
-            # for storing research data are even if they were to contain only exactly
-            # always data of expected format...
-            self.stack_meta = {
-                "fname": "",
-                "size": (0, 0),
-                "dtype": np.uint8,
-                "ftype": "",
-            }
-            # in pixel, use axisy and axisx for dimension scale axes
-            # ASSUME slow axis is y, fast axis is x
-            for keyword, value in zip_content_table.items():
-                tmp = value.split(".")
-                if (len(tmp) > 1) and (
-                    tmp[-1].lower() in ["bmp", "jpg", "png", "tiff"]
-                ):
-                    # there are examples where people store Kikuchi diffraction pattern
-                    # as lossy and lossless raster...
-                    # pil supports reading of files in more formats but the above are
-                    # the formats typically used for Kikuchi pattern
-                    with zip_file_hdl.open(value) as file_hdl:
-                        # ##MK::would be to not load the entire image but just shape tags
-                        img = pil.open(file_hdl, "r")  # np.asarray(pil.open(file_hdl))
-                        if img.mode != "L":
-                            # https://stackoverflow.com/questions/1996577/
-                            # how-can-i-get-the-depth-of-a-jpg-file
-                            break
-                        shp = (img.height, img.width)  # np.shape(img)
-                        if (
-                            (shp[0] > 0)
-                            and (shp[0] <= HFIVE_WEB_MAX_SIZE)
-                            and (shp[1] > 0)
-                            and (shp[1] <= HFIVE_WEB_MAX_SIZE)
-                        ):
-                            # found the guiding image
-                            self.stack_meta["size"] = (shp[0], shp[1])  # , 3)
-                            self.stack_meta["fname"] = value
-                            self.stack_meta["ftype"] = tmp[-1].lower()
-                            self.stack_meta["dtype"] = np.uint8  # for mode "L"
-                            # ##MK::bit depth and other constraints
-                            break
-                            # ##MK::at the moment not supporting > HFIVE_WEB_MAX_SIZE
-                            # images but this is usually not required
-            print(self.stack_meta)
-            # ASSUME that the user has stored all other relevant images of the stack
-            # with useful numeral names and that these have the same metadata
-            # (size, filetype, dtype)
-            identifier = 0
-            self.stack = np.zeros(
-                (
-                    len(zip_content_table),
-                    self.stack_meta["size"][0],
-                    self.stack_meta["size"][1],
-                ),
-                self.stack_meta["dtype"],
-            )
-            for keyword, value in zip_content_table.items():
-                tmp = value.split(".")
-                if (len(tmp) > 1) and (tmp[-1].lower() == self.stack_meta["ftype"]):
-                    with zip_file_hdl.open(value) as file_handle:
-                        # img = np.asarray(pil.open(file_handle))
-                        img = pil.open(file_handle, "r")
-                        if (img.mode == "L") and (img.palette is None):
-                            img = np.asarray(img, np.uint8)
-                            # ##MK::for bitmap no need to discard alpha channels, check
-                            # print(np.shape(img))
-                            # img = img[:, :, 0:3]  # discard eventual alpha channels
-                        else:
-                            break
-
-                        if (np.shape(img) == self.stack_meta["size"]) and (
-                            img.dtype == self.stack_meta["dtype"]
-                        ):
-                            self.stack[identifier, :, :] = img
-                            # Kikuchi pattern may come as 8-bit (grayscale) RGBs
-                            # or as simulated intensities (as floats)
-                            # ASSUME here we load only images when [1, HFIVE_WEB_MAX_SIZE]
-                            # and map eventual RGB bitmaps on intensities
-                            identifier += 1
-            # okay this is about the intensity but what about the dimension scale axes
-            # with tiff these could be stored in the tiff tag image metadata
-            # print(np.shape(self.kikuchi))
-            # print(self.kikuchi)
-        return template
-
-    def parse_pattern_stack_default_plot(self, template: dict) -> dict:
-        """Parse data for the Kikuchi image stack default plot."""
-        print("Parse Kikuchi pattern stack default plot...")
-        trg = (
-            f"/ENTRY[entry{self.entry_id}]/simulation/IMAGE_SET_EM_KIKUCHI"
-            f"[image_set_em_kikuchi]/stack"
-        )
-
-        template[f"{trg}/title"] = str("Kikuchi diffraction pattern stack")
-        template[f"{trg}/@signal"] = "data_counts"
-        template[f"{trg}/@axes"] = ["axis_x", "axis_y"]
-        template[f"{trg}/@AXISNAME_indices[axis_x_indices]"] = np.uint32(0)
-        template[f"{trg}/@AXISNAME_indices[axis_y_indices]"] = np.uint32(1)
-
-        trg = (
-            f"/ENTRY[entry{self.entry_id}]/simulation/IMAGE_SET_EM_KIKUCHI"
-            f"[image_set_em_kikuchi]/stack/data_counts"
-        )
-        template[f"{trg}"] = {"compress": self.stack, "strength": 1}
-        # 0 is y while 1 is x !
-        template[f"{trg}/@long_name"] = "Signal"
-        template[f"{trg}/@CLASS"] = "IMAGE"  # required by H5Web to plot RGB maps
-        template[f"{trg}/@IMAGE_VERSION"] = "1.2"
-        template[f"{trg}/@SUBCLASS_VERSION"] = np.int64(15)
-
-        axes_names = [("axis_x", 1, "x-axis"), ("axis_y", 0, "y-axis")]
-        for axis in axes_names:
-            trg = (
-                f"/ENTRY[entry{self.entry_id}]/simulation/IMAGE_SET_EM_KIKUCHI"
-                f"[image_set_em_kikuchi]/stack/{axis[0]}"
-            )
-            axis_i = np.asarray(
-                np.linspace(
-                    0,
-                    self.stack_meta["size"][axis[1]],
-                    num=self.stack_meta["size"][axis[1]],
-                    endpoint=True,
-                ),
-                np.float64,
-            )
-            # overwrite with calibrated scale if available
-            # i.e. when self.stack_meta["axis_x"] not None:
-            template[f"{trg}"] = {"compress": axis_i, "strength": 1}
-            template[f"{trg}/@long_name"] = f"Pixel coordinate along {axis[2]}"
-            template[f"{trg}/@units"] = "px"
-        return template
-
-    def parse(self, template: dict) -> dict:
-        """Parse NOMAD OASIS relevant data and metadata from a ZIP file."""
-        print("Parsing EBSD data generic-style for a ZIP example...")
-        print(self.file_name)
-        print(f"{self.entry_id}")
-        self.parse_zip(template)
-        self.parse_pattern_stack_default_plot(template)
-        return template
diff --git a/pynxtools/dataconverter/readers/em_spctrscpy/README.md b/pynxtools/dataconverter/readers/em_spctrscpy/README.md
deleted file mode 100644
index c169fdd7b..000000000
--- a/pynxtools/dataconverter/readers/em_spctrscpy/README.md
+++ /dev/null
@@ -1,194 +0,0 @@
-# em_spctrscpy reader
-
-## Purpose
-Translate diverse files from the scientific community and technology partners within
-the electron microscopy community into a standardized representation using the NeXus
-application definition NXem.
-This parser does not copy over all of the data and metadata in files from especially
-commercial software but that particular subset which is understood and useful
-inside a NOMAD OASIS instance.
-
-## What this em reader supports
-The main idea behind the parser is to offer users of the OASIS a diverse example of how
-a parser for specific file formats can be written and designed. We would like to encourage
-the EM community to share example files with us. These can be small and come from diverse use cases.
-Ideally, these should represent data in file formats from technology partners other than the 
-already here supported and implemented ones. This would support us to broaden the applicability
-of this parser.
-
-Specifically, the implementation shows how I/O functionalities of hyperspy can be used
-to load data of spectroscopy experiments from three exemplar file formats:
-Bruker BCF, Velox EMD, and DigitalMicrograph DM3. The implementation shows how generic
-and specialized instances of the NeXus base classes NXspectrum_set and NXimage_set
-can be created and registered inside instances of NXevent_data_em; and then how all these
-can be composed and stored inside a NeXus/HDF5 file that matches the NXem application definition.
-
-This makes the example relevant for researchers who work within the fields of
-scanning electron microscopy (SEM) EDS/EDX, transmission electron microscopy
-(EDS/STEM), and electron energy loss spectroscopy (EELS).
-
-## Getting started - standalone usage
-If you use this dataconverter/em_spctrscpy parser as a standalone tool,
-1. You should follow the interactive jupyter notebook that is stored in 
-   *pynxtools/examples/em_spctrscpy*.
-2. As the standalone usage of this parser does not require a NOMAD OASIS instance,
-   you have to edit the ELN manually or via another ELN. For this you can edit the
-   example eln_data_em_spctrscpy.yaml which comes shipped with this example.
-   Alternatively, you can at this point copy or place your own datasets into the
-   working directory of the jupyter lab instance.
-3. Once the YAML file has been edited, to your satisfaction you can continue
-   executing the jupyter tutorial. This should create an instance of a NeXus/HDF5 file
-   which is formatted according to the NXem application definition.
-
-## Getting started - usage related to NOMAD OASIS
-This parser can be used to map numerical data and metadata inside frequently used
-file formats from technology partners of electron microscopy software tools into a
-NeXus/HDF5 file which complies with a specific version of the NXem application
-definition.
-
-If you are using a NOMAD OASIS you can use this tool as follows.
-1. Log-in to a NOMAD OASIS instance and navigate to the *Create Uploads* tab.
-2. Select em_spctrscpy example from the list of available options.
-3. Drag-and-drop your files in specific file formats. Currently,
-   support for Bruker BCF, Velox EMD, and DigitalMicrograph DM3 is implemented.
-3. Edit the electronic lab notebook (ELN) schema inside the NOMAD OASIS and click the
-   save button in the NOMAD OASIS GUI to save the data that you have entered into
-   the ELN template. Clicking *save* will trigger the automatic generation
-   of an eln_data.yaml file. Second, the clicking will trigger a run of the
-   dataconverter/em_spctrscpy parser which generates a NXem NeXus file based on
-   your uploaded BCF, EMD or DM3 file. You can explore these files in the file
-   browsing tab of NOMAD OASIS.
-   By default the converter performs a strong loss-less compression on the input
-   as many of the stack data store integers with a low entropy. The compression may
-   take some time. Arrays with floating point values are also compressed by
-   default but with a lower compression strength.
-   You can inspect the progress of the conversion in the console from which
-   you started the NOMAD OASIS appworker.
-4. If successful, a NeXus (nxs) file will appear in your upload. You can explore
-   its content with the H5Web tools inside the NOMAD OASIS GUI and click interactively
-   through the data including default plots. For electron microscopy these are the 
-   EDS/EDX spectra stack, eventually a sum spectrum, and (annular dark field)
-   overview images of the material region-of-interest (ROI) characterized if present.
-   If unsuccessful, the console from which you started the NOMAD OASIS appworker
-   can help you with identifying problems.
-
-Given that microscopy software tools differ, users should not expect that every
-required field in the application definition can be served by data and metadata
-from an arbitrary such microscopy tool, often some metadata are not stored in
-the files from technology partners in a way that they are openly accessible.
-
-Therefore, the em_spctrscpy reader takes additional metadata from the eln_data.yaml file.
-Here the feature of custom schema for the NOMAD ELN serve two tasks. Firstly, they
-define the elements of the graphical user interface which this domain-specific ELN
-template should offer. Secondly, they enable collecting metadata.
-
-## Background
-This em_spctrscpy reader was implemented as an example to show how tools like
-the pynxtools, YAML-based schemas and files from technology partners can be customized
-to enable automated parsing and mapping of data in different representations
-on NXem.
-
-## Technical background details for developers and data scientists
-The em_spctrscpy reader serves as a parser with multiple parts/readers/and sub-parser/
-components because data and metadata in electron microscopy come from such a diverse
-number of file formats and use cases, from results of interactions with different GUIs,
-scripts running inside GUIs, or user-customized/-written scripts using open-source microscopy
-software tools that it is essential to keep things well modularized.
-These subtilities make the development of a general enough parser challenging.
-
-Our approach with dataconverter/em_spctrscpy is to offer users of a NOMAD OASIS instance
-first at all an implemented step-by-step example how they can combine different software
-tools and make these operational in a NOMAD OASIS. Therefore, we follow an approach that
-is breadth- rather than depth-first. Our approach is driven by examples.
-Breadth first means, we would like to offer the user first an overview of the rather large
-number of NeXus base classes within the design of the NXem application definition.
-
-Practically, the process needs to be driven by examples because many I/O routines for
-file formats from technology partners in open-source software have been implemented based
-on reverse engineering. Hyperspy is a good example of these developments and efforts.
-In fact, there is currently no joint knowledge base how all possible file formats can be safely
-and robustly parsed so that each field and entry is not only binarily readable but can also
-confidently be mapped on specific terms using a controlled vocabulary.
-Interestingly, this challenge is independent of the ontology used.
-
-Currently the example implements for:
-* NXspectrum_set
-* NXimage_set
-
-These already cover how also the simpler cases of plain calibrated images could be covered.
-
-## NXem and the status quo of data schemes in electron microscopy
-NXem is a general application definition which embraces multiple EM sub-communities.
-Specifically, condensed-matter physicists, materials scientists, and materials engineers,
-i.e. electron microscopy users which have all their own software solutions or at least
-different, best practices and protocols currently, to interact and work with electron
-microscopy data.
-
-Our starting point in FAIRmat for EM was thus different compared to the situation
-in e.g. the field of atom probe microscopy. In the field of atom probe, only a few file
-formats exist and have been in use when the FAIRmat project started.
-This is why dataconverter/em_spctrscpy has its own subroutines for loading intricate
-details of files from the open-source community or technology partners.
-
-By contrast, for electron microscopy developing that many file format readers
-on our own is not a feasible approach for two reasons:
-
-First, there is very limited use of writing again readers for specific EM file formats
-because the EM community has developed already many of such parses. Many of them are mature
-in that they offer internal readers for several file formats.
-The strength of the existent readers is that many users already work with such software.
-Thus, supporting the development and working together on I/O functions for files from
-technology partners and discussing open issues is in our opinion the preferred approach.
-
-Specific examples of such community tools are:
-**hyperspy** for analyses of spectra such as EDX/EDS and EELS, used in SEM/TEM communities
-**mtex** for analyses of texture, and EBSD data, heavily used in the SEM community
-**dream3d** for 3D EBSD post-processing into synthetic volume elements
-**EMsoft** for indexing EBSD, **kikuchipy** and **pyxem** leaning towards the TEM community
-
-Processing of results from the latter three tools is partially covered by the em_om example.
-
-Instead of reimplementing the wheel, we are convinced the I/O functionalities of these tools
-should be used by even more people to support the respective open-source projects.
-
-The other reason why we are not convinced that it is a sustainable approach for a National
-Research Data Infrastructure that each project implements own formats is that there are already
-two important challenges with the status quo in electron microscopy:
-Format constraints and limited documentation of the content and details behind some of the file
-formats from technology partners. We should make clear that we acknowledge the significant momentum
-and effort which microscopy manufacturers as technology partners invest into the storing of metadata
-in their (commercial) software solutions. We would like to see though that more of these efforts
-become documented in the literature in technical design specifications and ideally as living
-documents via public repositories which are lead by the technology partners but
-open to contributions from the scientific community.
-
-## A request to take action by technology partners and the scientific community
-While commercial software is used by numerous microscopists every day, it is interesting to note
-that the detailed knowledge about the I/O routines has always been on a few developers shoulders.
-We have realized that many of the file format readers in open-source software were reverse-engineered.
-This is challenging because the amount of documentation that is available especially for some file formats
-is neither exhaustive nor documented enough in detail.
-
-This limits developers when they have to decide and design how to best implement the mapping
-of specific binary numerical data and metadata into specifically named fields.
-Here we hope that intensified exchange between technology partners and the scientific community
-can help to improve the situation.
-
-You are very welcome to leave us comments in the issue list (or drop us an email) to exchange
-specifically about this topic. Even better would be if commercial software tools evolve
-into a state that they offer complementary options for exporting detailed metadata
-and numerical data through publicly documented formats.
-
-## A starting point to harmonize metadata and numerical data from scripting based solutions
-It is noteworthy that internally many of tools, whether it be commercial or open source tools,
-implement their data analysis pipelines and functionalities via object-oriented programming.
-
-Therefore, even though users of tools like mtex or hyperspy may in practice create very
-different scripts, they still interact with a restricted set of class instances and methods.
-In effect, having these classes offers a possibility for developing more generic parsers
-like what is here exemplified with the dataconverter/em_spctrscpy parser. As an example
-we explore along this idea the parsing of data from EBSD class object instances
-with MTex, which is offered via the em_om example.
-
-## Contact person in FAIRmat for this reader
-Markus Kühbach
\ No newline at end of file
diff --git a/pynxtools/dataconverter/readers/em_spctrscpy/__init__.py b/pynxtools/dataconverter/readers/em_spctrscpy/__init__.py
deleted file mode 100644
index e69de29bb..000000000
diff --git a/pynxtools/dataconverter/readers/em_spctrscpy/reader.py b/pynxtools/dataconverter/readers/em_spctrscpy/reader.py
deleted file mode 100644
index 0d3c14863..000000000
--- a/pynxtools/dataconverter/readers/em_spctrscpy/reader.py
+++ /dev/null
@@ -1,145 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Parser for loading generic X-ray spectroscopy and EELS data into NXem via hyperspy."""
-
-# pylint: disable=no-member
-
-from typing import Tuple, Any
-
-from pynxtools.dataconverter.readers.base.reader import BaseReader
-
-from pynxtools.dataconverter.readers.em_spctrscpy.utils.em_use_case_selector import (
-    EmUseCaseSelector,
-)
-
-from pynxtools.dataconverter.readers.em_spctrscpy.utils.em_generic_eln_io import (
-    NxEmNomadOasisElnSchemaParser,
-)
-
-from pynxtools.dataconverter.readers.em_spctrscpy.utils.em_event_data import (
-    NxEventDataEm,
-)
-
-from pynxtools.dataconverter.readers.em_spctrscpy.utils.em_nexus_plots import (
-    em_spctrscpy_default_plot_generator,
-)
-
-from pynxtools.dataconverter.readers.em_spctrscpy.utils.em_example_data import (
-    EmSpctrscpyCreateExampleData,
-)
-
-
-def hyperspy_parser(file_name: str, template: dict, entry_id: int) -> dict:
-    """Parse content from electron microscopy vendor files."""
-    test = NxEventDataEm(file_name, entry_id)
-    test.report(template)
-    return template
-
-
-def nomad_oasis_eln_parser(file_name: str, template: dict, entry_id: int) -> dict:
-    """Parse out output from a YAML file from a NOMAD OASIS YAML."""
-    test = NxEmNomadOasisElnSchemaParser(file_name, entry_id)
-    test.report(template)
-    return template
-
-
-class EmSpctrscpyReader(BaseReader):
-    """Parse content from community file formats.
-
-    Specifically, electron microscopy
-    towards a NXem.nxdl-compliant NeXus file.
-    """
-
-    # pylint: disable=too-few-public-methods
-
-    # Whitelist for the NXDLs that the reader supports and can process
-    supported_nxdls = ["NXem"]
-
-    # pylint: disable=duplicate-code
-    def read(
-        self,
-        template: dict = None,
-        file_paths: Tuple[str] = None,
-        objects: Tuple[Any] = None,
-    ) -> dict:
-        """Read data from given file, return filled template dictionary em."""
-        # pylint: disable=duplicate-code
-        template.clear()
-
-        # this em_spctrscpy parser combines multiple sub-parsers
-        # so we need the following input:
-        # logical analysis which use case
-        # data input from an ELN (e.g. NOMAD OASIS)
-        # data input from technology partner files
-        # functionalities for creating default plots
-        # developer functionalities for creating synthetic data
-
-        n_entries = 1
-        entry_id = 1
-        if len(file_paths) == 1:
-            if file_paths[0].startswith("synthesize"):
-                synthesis_id = int(file_paths[0].replace("synthesize", ""))
-                print(f"synthesis_id {synthesis_id}")
-            else:
-                synthesis_id = 1
-            print("Create one synthetic entry in one NeXus file...")
-            synthetic = EmSpctrscpyCreateExampleData(synthesis_id)
-            synthetic.synthesize(template)
-        else:
-            print("Parse ELN and technology partner file(s)...")
-            case = EmUseCaseSelector(file_paths)
-            assert (
-                case.is_valid is True
-            ), "Such a combination of input-file(s, if any) is not supported !"
-
-            print("Parse (meta)data coming from an ELN...")
-            if case.eln_parser == "nomad-oasis":
-                nomad_oasis_eln_parser(case.eln[0], template, entry_id)
-            else:
-                print("No input file defined for eln data !")
-                return {}
-
-            print(
-                "Parse (numerical) data and metadata from technology partner files..."
-            )
-            if case.vendor_parser == "oina":
-                # oina_parser(case.vendor[0], template, entry_id)
-                return {}
-            if case.vendor_parser == "hspy":
-                hyperspy_parser(case.vendor[0], template, entry_id)
-            else:
-                print("No input-file defined for technology partner data !")
-                return {}
-
-        print("Create NeXus default plottable data...")
-        em_spctrscpy_default_plot_generator(template, n_entries)
-
-        debugging = False  # True
-        if debugging is True:
-            print("Reporting state of template before passing to HDF5 writing...")
-            for keyword in template.keys():
-                print(keyword)
-                # print(type(template[keyword]))
-                # print(template[keyword])
-
-        print("Forward instantiated template to the NXS writer...")
-        return template
-
-
-# This has to be set to allow the convert script to use this reader.
-READER = EmSpctrscpyReader
diff --git a/pynxtools/dataconverter/readers/em_spctrscpy/utils/__init__.py b/pynxtools/dataconverter/readers/em_spctrscpy/utils/__init__.py
deleted file mode 100644
index e69de29bb..000000000
diff --git a/pynxtools/dataconverter/readers/em_spctrscpy/utils/em_event_data.py b/pynxtools/dataconverter/readers/em_spctrscpy/utils/em_event_data.py
deleted file mode 100644
index e418a8365..000000000
--- a/pynxtools/dataconverter/readers/em_spctrscpy/utils/em_event_data.py
+++ /dev/null
@@ -1,147 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Representation of an NXevent_data_em class."""
-
-# pylint: disable=no-member
-
-from typing import Dict
-
-import hyperspy.api as hs
-
-from pynxtools.dataconverter.readers.em_spctrscpy.utils.em_nexus_base_classes import (
-    NxObject,
-)
-
-from pynxtools.dataconverter.readers.em_spctrscpy.utils.hspy.em_hspy_xray import (
-    NxSpectrumSetEmXray,
-)
-
-from pynxtools.dataconverter.readers.em_spctrscpy.utils.hspy.em_hspy_eels import (
-    NxSpectrumSetEmEels,
-)
-
-from pynxtools.dataconverter.readers.em_spctrscpy.utils.hspy.em_hspy_adf import (
-    NxImageSetEmAdf,
-)
-
-from pynxtools.dataconverter.file_hashing import get_file_hashvalue
-
-
-class NxEventDataEm:
-    """Representing a data collection event with a single detector.
-
-    During this data collection event, the microscope
-    was considered stable enough.
-    """
-
-    def __init__(self, file_name: str, entry_id: int):
-        self.file_name = ""
-        self.file_sha256 = ""
-        self.entry_id = entry_id
-        self.meta: Dict[str, NxObject] = {}
-        self.meta["start_time"] = NxObject("non_recoverable")
-        self.meta["end_time"] = NxObject("non_recoverable")
-        # the following list is not complete
-        # but brings an example how NXem can be used disentangle
-        # data and processing when, at a given point in time,
-        # multiple detectors have been used
-
-        if (file_name != "") and (entry_id > 0):
-            self.file_name = file_name
-            self.file_sha256 = get_file_hashvalue(self.file_name)
-
-            self.spectrum_set_em_xray = NxSpectrumSetEmXray([])
-            self.spectrum_set_em_eels = NxSpectrumSetEmEels([])
-            self.image_set_em_adf = NxImageSetEmAdf([])
-
-            self.parse_hspy_analysis_results()
-
-    def parse_hspy_analysis_results(self):
-        """Parse the individual hyperspy-specific data.
-
-        Route these respective classes of an NxEventDataEm instance.
-        """
-        hspy_objs = hs.load(self.file_name)
-        # this logic is too simplistic e.g. what if the dataset is TBs?
-        # because file_name is usually the file from the microscope session...
-
-        # developers can here switch easily one and off certain sub-parsers
-        if isinstance(hspy_objs, list):
-            print("Processing a list of hspy_objs...")
-            self.spectrum_set_em_xray = NxSpectrumSetEmXray(hspy_objs)
-            self.spectrum_set_em_eels = NxSpectrumSetEmEels(hspy_objs)
-            self.image_set_em_adf = NxImageSetEmAdf(hspy_objs)
-        else:
-            print("Converting (a single hspy obj) into a list, processing it...")
-            self.spectrum_set_em_xray = NxSpectrumSetEmXray([hspy_objs])
-            self.spectrum_set_em_eels = NxSpectrumSetEmEels([hspy_objs])
-            self.image_set_em_adf = NxImageSetEmAdf([hspy_objs])
-
-    def report(self, template: dict) -> dict:
-        """Copy data from self into template the appdef instance.
-
-        Paths in template are prefixed by prefix and have to be compliant
-        with the application definition.
-        """
-        prefix = (
-            f"/ENTRY[entry{self.entry_id}]/measurement/"
-            f"EVENT_DATA_EM[event_data_em1]/"
-        )
-
-        # now = datetime.datetime.now().astimezone().isoformat()
-        # hyperspy cannot implement per-event time stamping especially
-        # not for time-zones because time data are vendor-specifically formatted
-        # not always reported in which case hspy replaces missing vendor timestamps
-        # with system time at runtime of the script !
-
-        template[f"{prefix}start_time"] = self.meta["start_time"].value
-        template[f"{prefix}end_time"] = self.meta["end_time"].value
-        event_info = {
-            "source_file_name": self.file_name,
-            "source_file_version": self.file_sha256,
-        }
-
-        prefix = (
-            f"/ENTRY[entry{self.entry_id}]/measurement/"
-            f"EVENT_DATA_EM[event_data_em1]/"
-        )
-        # connect and compare frame_id with that of hspy
-        if self.spectrum_set_em_xray is not None:
-            if isinstance(self.spectrum_set_em_xray, NxSpectrumSetEmXray) is True:
-                self.spectrum_set_em_xray.report(prefix, 1, event_info, template)
-
-        prefix = (
-            f"/ENTRY[entry{self.entry_id}]/measurement/"
-            f"EVENT_DATA_EM[event_data_em1]/"
-        )
-        if self.spectrum_set_em_eels is not None:
-            if isinstance(self.spectrum_set_em_eels, NxSpectrumSetEmEels) is True:
-                self.spectrum_set_em_eels.report(prefix, 1, event_info, template)
-
-        prefix = (
-            f"/ENTRY[entry{self.entry_id}]/measurement/"
-            f"EVENT_DATA_EM[event_data_em1]/"
-        )
-        # connect and compare frame_id with that of hspy
-        if self.image_set_em_adf is not None:
-            if isinstance(self.image_set_em_adf, NxImageSetEmAdf) is True:
-                self.image_set_em_adf.report(prefix, 1, event_info, template)
-
-        # add generic images
-
-        return template
diff --git a/pynxtools/dataconverter/readers/em_spctrscpy/utils/em_example_data.py b/pynxtools/dataconverter/readers/em_spctrscpy/utils/em_example_data.py
deleted file mode 100644
index 4e6be394f..000000000
--- a/pynxtools/dataconverter/readers/em_spctrscpy/utils/em_example_data.py
+++ /dev/null
@@ -1,525 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Utility functions for generation of EM NeXus datasets for dev purposes."""
-
-# pylint: disable=no-member, R0801
-
-import hashlib
-
-import datetime
-
-import math
-
-import numpy as np
-
-# import matplotlib.pyplot as plt
-
-import hyperspy.api as hs
-
-from ase.data import chemical_symbols
-
-from pynxtools.dataconverter.readers.em_spctrscpy.utils.em_versioning import (
-    NX_EM_ADEF_NAME,
-    NX_EM_ADEF_VERSION,
-    NX_EM_EXEC_NAME,
-    NX_EM_EXEC_VERSION,
-)
-
-# parameter affecting reconstructed positions and size
-# default parameter
-MAX_USERS = 4
-# compose hypothetical spectrum (ignoring background)
-XRAY_ENERGY_DELTA = 0.01  # in keV
-PEAK_WIDTH_SIGMA = 0.1  # stddev in keV assumed the same for all peaks
-SIGNAL_YIELD = 1000.0  # arbitrarily assumed signal intensity
-
-
-class EmSpctrscpyCreateExampleData:
-    """A synthesized dataset meant to be used for development purposes only!."""
-
-    def __init__(self, synthesis_id):
-        # assure deterministic behaviour of the PRNG
-        np.random.seed(seed=synthesis_id)
-
-        self.n_entries = 1
-        print("Generating one random example NXem entry...")
-        self.entry_id = 1
-        self.elements_observed = []
-        self.e_axis = []
-        self.cnts_summary = []
-        # synthesizing realistic datasets for electron microscopy requires a
-        # physical model of the image formation process see e.g. Kirkland et al.
-        # for an (incomplete) view of this large topic
-        # https://doi.org/10.1007/978-3-030-33260-0
-        # we are interested in having spectra and maybe some synthesized images
-        # as this is already sufficient to explore search capabilities in e.g. NOMAD Oasis
-
-    def emulate_entry(self, template: dict) -> dict:
-        """Copy data in entry section."""
-        # print("Parsing entry...")
-        trg = f"/ENTRY[entry{self.entry_id}]/"
-        template[f"{trg}definition"] = NX_EM_ADEF_NAME
-        template[f"{trg}@version"] = NX_EM_ADEF_VERSION
-        template[f"{trg}PROGRAM[program1]/program"] = NX_EM_EXEC_NAME
-        template[f"{trg}PROGRAM[program1]/program/@version"] = NX_EM_EXEC_VERSION
-        template[f"{trg}start_time"] = datetime.datetime.now().astimezone().isoformat()
-        template[f"{trg}end_time"] = datetime.datetime.now().astimezone().isoformat()
-
-        msg = """
-              !!! WARNING: These are mocked data !!!
-              These are meant to be used exclusively
-              for verifying NOMAD search capabilities.
-              """
-        template[f"{trg}experiment_description"] = msg
-        template[f"{trg}experiment_documentation"] = "free text field"
-        experiment_identifier = str(
-            f"EM{np.random.choice(100, 1)[0]}/{np.random.choice(100000, 1)[0]}"
-        )
-        template[f"{trg}experiment_identifier"] = experiment_identifier
-
-        return template
-
-    def emulate_user(self, template: dict) -> dict:
-        """Copy data in user section."""
-        # print("Parsing user...")
-        prefix = f"/ENTRY[entry{self.entry_id}]/"
-        user_names = np.unique(
-            np.random.choice(
-                [
-                    "Sherjeel",
-                    "MarkusK",
-                    "Benedikt",
-                    "Johannes",
-                    "Gerardo",
-                    "Kristiane",
-                    "Sabine",
-                    "Sophie",
-                    "Tom",
-                    "Volker",
-                    "MarkusW",
-                    "PeterK",
-                    "Oonagh",
-                    "Annika",
-                    "ChristophP",
-                    "Thomas",
-                    "Mariano",
-                    "Tilmann",
-                    "ChristophF",
-                    "Niels",
-                    "Dieter",
-                    "Alexander",
-                    "Katharina",
-                    "Florian",
-                    "Sebastian",
-                    "Sandor",
-                    "Carola",
-                    "Chris",
-                    "Hampus",
-                    "Pepe",
-                    "Lauri",
-                    "MarkusS",
-                    "Christoph",
-                    "Claudia",
-                ],
-                1 + np.random.choice(MAX_USERS, 1),
-            )
-        )
-        user_id = 1
-        for name in user_names:
-            trg = f"{prefix}USER[user{user_id}]/"
-            template[f"{trg}name"] = str(name)
-            user_id += 1
-
-        return template
-
-    def emulate_sample(self, template: dict) -> dict:
-        """Copy data in specimen section."""
-        # check if required fields exists and are valid
-        # print("Parsing sample...")
-        trg = f"/ENTRY[entry{self.entry_id}]/sample/"
-        template[f"{trg}method"] = "simulation"
-
-        self.elements_observed = np.random.choice(
-            np.asarray(np.linspace(1, 94, num=118, endpoint=True), np.uint32),
-            1 + int(np.random.uniform(low=0, high=5)),
-        )
-        assert len(self.elements_observed) > 0, "List of assumed elements is empty!"
-        unique_elements = set()
-        for atomic_number in self.elements_observed:
-            symbol = chemical_symbols[atomic_number]
-            assert isinstance(symbol, str), "symbol is not a string!"
-            if (symbol in chemical_symbols) & (symbol != "X"):
-                unique_elements.add(symbol)
-        print(f"Unique elements are: {list(unique_elements)}")
-        template[f"{trg}atom_types"] = ", ".join(list(unique_elements))
-
-        specimen_name = (
-            f"Mocked electron microscopy specimen " f"{np.random.choice(1000, 1)[0]}"
-        )
-        template[f"{trg}name"] = specimen_name
-        template[f"{trg}sample_history"] = "n/a"
-        template[f"{trg}preparation_date"] = (
-            datetime.datetime.now().astimezone().isoformat()
-        )
-        template[f"{trg}short_title"] = specimen_name.replace(
-            "Mocked atom probe specimen ", ""
-        )
-        template[f"{trg}description"] = "n/a"
-
-        template[f"{trg}thickness"] = np.float64(
-            np.max((np.random.normal(loc=40.0, scale=5.0), 10.0))
-        )
-        template[f"{trg}thickness/@units"] = "nm"
-        # template[f"{trg}density"] = 0.  # is optional
-        # template[f"{trg}density/@units"] = "kg/m^3"
-
-        return template
-
-    def emulate_coordinate_system(self, template: dict) -> dict:
-        """Define the coordinate systems to be used."""
-        # print("Parsing coordinate system...")
-        prefix = (
-            f"/ENTRY[entry{self.entry_id}]/"
-            f"COORDINATE_SYSTEM_SET[coordinate_system_set]/"
-        )
-
-        grpnm = f"{prefix}TRANSFORMATIONS[laboratory]/"
-        cs_xyz = np.asarray(
-            [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]], np.float64
-        )
-        cs_names = ["x", "y", "z"]
-        for i in np.arange(0, 3):
-            trg = f"{grpnm}AXISNAME[{cs_names[i]}]"
-            template[trg] = cs_xyz[:, i]
-            template[f"{trg}/@offset"] = np.asarray([0.0, 0.0, 0.0], np.float64)
-            template[f"{trg}/@offset_units"] = "m"
-            template[f"{trg}/@depends_on"] = "."
-
-        msg = """
-              This way of defining coordinate systems is an example
-              how these can be defined. More discussion among members
-              of FAIRmat Area A/B/C and members of the EM community
-              plus more examples should be used to test how this
-              feature of NeXus can be used.
-              """
-        template[f"{prefix}@comment"] = msg
-
-        return template
-
-    def emulate_instrument_header(self, template: dict) -> dict:
-        """Copy data in instrument header section."""
-        # print("Parsing instrument header...")
-        trg = f"/ENTRY[entry{self.entry_id}]/em_lab/"
-        instrument_name = np.random.choice(
-            [
-                "Some ThermoFisher",
-                "Some JEOL",
-                "Some Zeiss",
-                "Some TEscan",
-                "Some Hitachi",
-            ],
-            1 + np.random.choice(1, 1),
-        )[0]
-        template[f"{trg}instrument_name"] = str(instrument_name)
-        template[f"{trg}location"] = str(
-            np.random.choice(
-                [
-                    "Berlin",
-                    "Leipzig",
-                    "Dresden",
-                    "Düsseldorf",
-                    "Aachen",
-                    "Garching",
-                    "Aachen",
-                    "Leoben",
-                    "Jülich",
-                ],
-                1 + np.random.choice(1, 1),
-            )[0]
-        )
-        trg = f"/ENTRY[entry{self.entry_id}]/em_lab/FABRICATION[fabrication]/"
-        template[f"{trg}vendor"] = instrument_name.replace("Some ", "")
-        template[f"{trg}model"] = "n/a"
-        template[f"{trg}identifier"] = str(
-            hashlib.sha256(
-                instrument_name.replace("Some ", "").encode("utf-8")
-            ).hexdigest()
-        )
-        template[f"{trg}capabilities"] = "n/a"
-
-        return template
-
-    def emulate_ebeam_column(self, template: dict) -> dict:
-        """Copy data in ebeam_column section."""
-        # print("Parsing ebeam column...")
-        prefix = f"/ENTRY[entry{self.entry_id}]/em_lab/EBEAM_COLUMN[ebeam_column]/"
-        trg = f"{prefix}electron_source/"
-
-        template[f"{trg}voltage"] = np.float64(
-            np.random.choice(np.linspace(10.0, 300.0, num=30, endpoint=True), 1)[0]
-        )
-        template[f"{trg}voltage/@units"] = "kV"
-        template[f"{trg}emitter_type"] = str(
-            np.random.choice(["thermionic", "schottky", "field_emission"], 1)[0]
-        )
-
-        # for aperture in apertures:
-        trg = f"{prefix}APERTURE_EM[aperture_em1]/"
-        template[f"{trg}value"] = np.uint32(
-            np.random.choice(np.linspace(1, 5, num=5, endpoint=True), 1)[0]
-        )
-        template[f"{trg}name"] = "aperture1"
-        template[f"{trg}description"] = "n/a"
-
-        # the above-mentioned snippet is a blue-print for lenses also...
-
-        # corrector
-        trg = f"{prefix}aberration_correction/"
-        template[f"{trg}applied"] = bool(np.random.choice([0, 1], 1)[0])
-
-        return template
-
-    def emulate_ibeam_column(self, template: dict) -> dict:
-        """Copy data in ibeam_column section."""
-        # print("Parsing ibeam column...")
-        return template
-
-    def emulate_ebeam_deflector(self, template: dict) -> dict:
-        """Copy data in ebeam_deflector section."""
-        # print("Parsing ebeam deflector...")
-        return template
-
-    def emulate_ibeam_deflector(self, template: dict) -> dict:
-        """Copy data in ibeam_deflector section."""
-        # print("Parsing ibeam deflector...")
-        return template
-
-    def emulate_optics(self, template: dict) -> dict:
-        """Copy data in optical_system_em section."""
-        # print("Parsing optics...")
-        trg = (
-            f"/ENTRY[entry{self.entry_id}]/em_lab/OPTICAL_SYSTEM_EM[optical_system_em]/"
-        )
-        template[f"{trg}beam_current_description"] = "undefined"
-        template[f"{trg}camera_length"] = np.float64(
-            np.random.normal(loc=1.0, scale=0.05)
-        )
-        template[f"{trg}camera_length/@units"] = "m"
-        template[f"{trg}magnification"] = np.float64(
-            np.random.choice([100.0, 1000.0, 10000.0, 100000.0], 1)[0]
-        )
-        template[f"{trg}defocus"] = np.float64(
-            np.random.normal(loc=1.0e-7, scale=0.1e-7)
-        )
-        template[f"{trg}defocus/@units"] = "m"
-        template[f"{trg}semi_convergence_angle"] = np.float64(
-            np.min((np.random.normal(loc=10.0, scale=1.0), 1.0))
-        )
-        template[f"{trg}semi_convergence_angle/@units"] = "degree"
-        template[f"{trg}working_distance"] = np.float64(
-            np.trunc(
-                np.random.choice(np.linspace(5.0, 20.0, num=15, endpoint=True), 1)[0]
-            )
-        )
-        template[f"{trg}working_distance/@units"] = "cm"
-        template[f"{trg}beam_current"] = np.float64(
-            np.min((np.random.normal(loc=10.0, scale=2.0), 1.0))
-        )
-        template[f"{trg}beam_current/@units"] = "pA"
-
-        return template
-
-    def emulate_detector(self, template: dict) -> dict:
-        """Copy data in detector section."""
-        # print("Parsing detector...")
-        detectors = np.unique(
-            np.random.choice(
-                ["SE", "BSE", "EBSD", "EDX", "INLINE"], 1 + np.random.choice(5, 1)
-            )
-        )
-        detector_id = 1
-        for detector in detectors:
-            trg = (
-                f"/ENTRY[entry{self.entry_id}]/em_lab/DETECTOR[detector{detector_id}]/"
-            )
-            template[f"{trg}local_name"] = str(detector)
-            detector_id += 1
-
-        return template
-
-    def emulate_stage_lab(self, template: dict) -> dict:
-        """Copy data in stage lab section."""
-        # print("Parsing stage lab...")
-        trg = f"/ENTRY[entry{self.entry_id}]/em_lab/stage_lab/"
-        stage_name = np.random.choice(
-            [
-                "side_entry",
-                "top_entry",
-                "single_tilt",
-                "quick_change",
-                "multiple_specimen",
-                "bulk_specimen",
-                "double_tilt",
-                "tilt_rotate",
-                "heating_chip",
-                "atmosphere_chip",
-                "electrical_biasing_chip",
-                "liquid_cell_chip",
-            ],
-            1,
-        )[0]
-        template[f"{trg}name"] = str(stage_name)
-        return template
-
-    def emulate_random_input_from_eln(self, template: dict) -> dict:
-        """Emulate random input as could come from an ELN."""
-        print("Parsing random input from ELN...")
-        self.emulate_entry(template)
-        self.emulate_user(template)
-        self.emulate_sample(template)
-        self.emulate_coordinate_system(template)
-        self.emulate_instrument_header(template)
-        self.emulate_ebeam_column(template)
-        self.emulate_ibeam_column(template)
-        self.emulate_ebeam_deflector(template)
-        self.emulate_ibeam_deflector(template)
-        self.emulate_optics(template)
-        self.emulate_detector(template)
-        self.emulate_stage_lab(template)
-
-        return template
-
-    def emulate_random_xray_spectrum(self, template: dict) -> dict:
-        """Emulate one event data group for Xray spectroscopy."""
-        # !! data meant exclusively to be used for verification purposes !!
-        assert len(self.elements_observed > 0), "No elements were observed !"
-        composition = np.random.uniform(
-            low=0.0, high=1.0, size=(len(self.elements_observed),)
-        )
-        composition = composition / np.sum(composition)
-        signal_contributions = []
-        idx = 0
-        # sample hypothetically X-ray lines for each element observed
-        for atomic_number in self.elements_observed:
-            symbol = chemical_symbols[atomic_number]
-            if symbol in hs.material.elements:
-                if "Atomic_properties" in hs.material.elements[symbol]:
-                    if "Xray_lines" in hs.material.elements[symbol].Atomic_properties:
-                        lines = hs.material.elements[
-                            symbol
-                        ].Atomic_properties.Xray_lines
-                        for xline_name, xline_props in lines.as_dictionary().items():
-                            # print(key + ", " + str(value["weight"]))
-                            signal_contributions.append(
-                                (
-                                    atomic_number,
-                                    symbol,
-                                    composition[idx],
-                                    xline_name,
-                                    xline_props["energy (keV)"],
-                                    xline_props["weight"],
-                                )
-                            )
-            idx += 1
-        # self.elements_observed = np.unique(symbols)
-
-        xray_energy_max = 0.0
-        for tpl in signal_contributions:
-            xray_energy_max = np.max((xray_energy_max, tpl[4]))
-        # print(xray_energy_max)
-
-        n_bins = int(
-            np.ceil(
-                (xray_energy_max + 3.0 * XRAY_ENERGY_DELTA + 1.0) / XRAY_ENERGY_DELTA
-            )
-        )  # covering [0., n_bins * XRAY_ENERGY_DELTA]
-        self.e_axis = np.linspace(
-            0.5 * XRAY_ENERGY_DELTA,
-            0.5 * XRAY_ENERGY_DELTA + n_bins * XRAY_ENERGY_DELTA,
-            num=n_bins,
-            endpoint=True,
-        )
-
-        self.cnts_summary = np.zeros((n_bins,), np.float64)
-        for tpl in signal_contributions:
-            # idx = np.abs(self.e_axis - tpl[4]).argmin()
-            # integrate analytically, assume Gaussian peak with stddev PEAK_WIDTH_SIGMA
-            cnts_tpl = np.zeros((n_bins,), np.float64)
-            for idx in np.arange(0, n_bins):
-                cnts_tpl[idx] = (
-                    SIGNAL_YIELD
-                    * tpl[2]
-                    * tpl[5]
-                    * 0.5
-                    * (
-                        math.erf(
-                            1.0
-                            / (np.sqrt(2.0) * PEAK_WIDTH_SIGMA)
-                            * (tpl[4] - (0.0 + idx * XRAY_ENERGY_DELTA))
-                        )
-                        - math.erf(
-                            1.0
-                            / (np.sqrt(2.0) * PEAK_WIDTH_SIGMA)
-                            * (tpl[4] - (XRAY_ENERGY_DELTA + idx * XRAY_ENERGY_DELTA))
-                        )
-                    )
-                )
-            self.cnts_summary = np.add(self.cnts_summary, cnts_tpl)
-        # plt.plot(self.e_axis, self.cnts_summary)
-        # plt.xlabel("energy (keV)")
-        # plt.ylabel("cnts")
-        # plt.xscale("log")
-
-        trg = (
-            f"/ENTRY[entry{self.entry_id}]/measurement/"
-            f"EVENT_DATA_EM[event_data_em1]/xray/summary/"
-        )
-        template[f"{trg}title"] = "Accumulated X-ray spectrum"
-        # template[f"{trg}@long_name"] = "Xray"
-        template[f"{trg}@signal"] = "data_counts"
-        template[f"{trg}@axes"] = ["axis_photon_energy"]
-        template[f"{trg}@AXISNAME_indices[axis_photon_energy_indices]"] = 0
-        template[f"{trg}DATA[data_counts]"] = {
-            "compress": self.cnts_summary,
-            "strength": 1,
-        }
-        template[f"{trg}DATA[data_counts]/@units"] = ""
-        template[f"{trg}DATA[data_counts]/@long_name"] = "Photon counts (1)"
-        template[f"{trg}AXISNAME[axis_photon_energy]"] = {
-            "compress": self.e_axis,
-            "strength": 1,
-        }
-        template[f"{trg}AXISNAME[axis_photon_energy]/@units"] = "keV"
-        template[
-            f"{trg}AXISNAME[axis_photon_energy]/@long_name"
-        ] = "Photon energy (keV)"
-        return template
-
-    def synthesize(self, template: dict) -> dict:
-        """Hand-over instantiated dataset to dataconverter template."""
-        for entry_id in np.arange(1, self.n_entries + 1):
-            self.entry_id = entry_id
-            print(f"Generating entry {self.entry_id}...")
-
-            # metadata
-            self.emulate_random_input_from_eln(template)
-
-            # heavy numerical data, here the synthesized "measurement" data
-            self.emulate_random_xray_spectrum(template)
-
-        return template
diff --git a/pynxtools/dataconverter/readers/em_spctrscpy/utils/em_generic_eln_io.py b/pynxtools/dataconverter/readers/em_spctrscpy/utils/em_generic_eln_io.py
deleted file mode 100644
index 2a313a707..000000000
--- a/pynxtools/dataconverter/readers/em_spctrscpy/utils/em_generic_eln_io.py
+++ /dev/null
@@ -1,414 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Parse metadata in specific custom NOMAD OASIS ELN schema to an NXem NXS."""
-
-# pylint: disable=no-member,duplicate-code
-
-import numpy as np
-
-import flatdict as fd
-
-import yaml
-
-from ase.data import chemical_symbols
-
-from pynxtools.dataconverter.readers.em_spctrscpy.utils.em_versioning import (
-    NX_EM_ADEF_NAME,
-    NX_EM_ADEF_VERSION,
-    NX_EM_EXEC_NAME,
-    NX_EM_EXEC_VERSION,
-)
-
-
-class NxEmNomadOasisElnSchemaParser:
-    """Parse eln_data.yaml dump file content generated from a NOMAD OASIS YAML.
-
-    This parser implements a design where an instance of a specific NOMAD
-    custom schema ELN template is used to fill pieces of information which
-    are typically not contained in files from technology partners
-    (e.g. bcf, emd, dm3, ...). Until now, this custom schema and
-    the NXem application definition do not use a fully harmonized vocabulary.
-    Therefore, the here hardcoded implementation is needed which maps specifically
-    named pieces of information from the custom schema instance on named fields
-    in an instance of NXem
-
-    The functionalities in this ELN YAML parser do not check if the
-    instantiated template yields an instance which is compliant NXapm.
-    Instead, this task is handled by the generic part of the dataconverter
-    during the verification of the template dictionary.
-    """
-
-    def __init__(self, file_name: str, entry_id: int):
-        print(f"Extracting data from ELN file: {file_name}")
-        if (
-            file_name.rsplit("/", 1)[-1].startswith("eln_data")
-            or file_name.startswith("eln_data")
-        ) and entry_id > 0:
-            self.entry_id = entry_id
-            self.file_name = file_name
-            with open(self.file_name, "r", encoding="utf-8") as stream:
-                self.yml = fd.FlatDict(yaml.safe_load(stream), delimiter=":")
-        else:
-            self.entry_id = 1
-            self.file_name = ""
-            self.yml = {}
-
-    def parse_entry_section(self, template: dict) -> dict:
-        """Copy data in entry section."""
-        # print("Parsing entry...")
-        trg = f"/ENTRY[entry{self.entry_id}]/"
-        src = "entry"
-        if isinstance(self.yml[src], fd.FlatDict):
-            if (self.yml[f"{src}:attr_version"] == NX_EM_ADEF_VERSION) and (
-                self.yml[f"{src}:definition"] == NX_EM_ADEF_NAME
-            ):
-                template[f"{trg}@version"] = NX_EM_ADEF_VERSION
-                template[f"{trg}definition"] = NX_EM_ADEF_NAME
-                template[f"{trg}PROGRAM[program1]/program"] = NX_EM_EXEC_NAME
-                template[
-                    f"{trg}PROGRAM[program1]/program/@version"
-                ] = NX_EM_EXEC_VERSION
-            if ("program" in self.yml[src].keys()) and (
-                "program__attr_version" in self.yml[src].keys()
-            ):
-                template[f"{trg}PROGRAM[program2]/program"] = self.yml[f"{src}:program"]
-                template[f"{trg}PROGRAM[program2]/program/@version"] = self.yml[
-                    f"{src}:program__attr_version"
-                ]
-
-        field_names = [
-            "experiment_identifier",
-            "start_time",
-            "end_time",
-            "experiment_description",
-            "experiment_documentation",
-        ]
-        for field_name in field_names:
-            if field_name in self.yml[src].keys():
-                template[f"{trg}{field_name}"] = self.yml[f"{src}:{field_name}"]
-
-        return template
-
-    def parse_user_section(self, template: dict) -> dict:
-        """Copy data in user section."""
-        # print("Parsing user...")
-        src = "user"
-        if isinstance(self.yml[src], list):
-            if len(self.yml[src]) >= 1:
-                user_id = 1
-                for user_list in self.yml[src]:
-                    char_field_names = [
-                        "name",
-                        "email",
-                        "affiliation",
-                        "address",
-                        "orcid",
-                        "orcid_platform",
-                        "telephone_number",
-                        "role",
-                        "social_media_name",
-                        "social_media_platform",
-                    ]
-
-                    trg = f"/ENTRY[entry{self.entry_id}]/USER[user{user_id}]/"
-                    for field_name in char_field_names:
-                        if field_name in user_list.keys():
-                            template[f"{trg}{field_name}"] = user_list[f"{field_name}"]
-                    user_id += 1
-
-        return template
-
-    def parse_sample_section(self, template: dict) -> dict:
-        """Copy data in sample section."""
-        # check if required fields exists and are valid
-        # print("Parsing sample...")
-        src = "sample"
-        trg = f"/ENTRY[entry{self.entry_id}]/sample/"
-        if isinstance(self.yml[src], fd.FlatDict):
-            if (isinstance(self.yml[f"{src}:atom_types"], list)) and (
-                len(self.yml[src + ":atom_types"]) >= 1
-            ):
-                atom_types_are_valid = True
-                for symbol in self.yml[f"{src}:atom_types"]:
-                    valid = (
-                        isinstance(symbol, str)
-                        and (symbol in chemical_symbols)
-                        and (symbol != "X")
-                    )
-                    if valid is False:
-                        atom_types_are_valid = False
-                        break
-                if atom_types_are_valid is True:
-                    template[f"{trg}atom_types"] = ", ".join(
-                        list(self.yml[f"{src}:atom_types"])
-                    )
-
-        char_req_field_names = ["method", "name", "sample_history", "preparation_date"]
-        for field_name in char_req_field_names:
-            if field_name in self.yml[src].keys():
-                template[f"{trg}{field_name}"] = self.yml[f"{src}:{field_name}"]
-        char_opt_field_names = ["short_title", "description"]
-        for field_name in char_opt_field_names:
-            if field_name in self.yml[src].keys():
-                template[f"{trg}{field_name}"] = self.yml[f"{src}:{field_name}"]
-
-        float_field_names = ["thickness", "density"]
-        for field_name in float_field_names:
-            if (f"{field_name}:value" in self.yml[src].keys()) and (
-                f"{field_name}:unit" in self.yml[src].keys()
-            ):
-                template[f"{trg}{field_name}"] = np.float64(
-                    self.yml[f"{src}:{field_name}:value"]
-                )
-                template[f"{trg}{field_name}/@units"] = self.yml[
-                    f"{src}:{field_name}:unit"
-                ]
-
-        return template
-
-    def parse_coordinate_system_section(self, template: dict) -> dict:
-        """Define the coordinate systems to be used."""
-        # ##MK::the COORDINATE_SYSTEM_SET section depends often on conventions
-        # which are neither explicitly documented in instances of
-        # files from technology partners nor many ELNs
-        # E.g. SEM/EBSD TSL, the specific coordinate system conventions used
-        # are defined in the famous "coin selector GUI window from TSL e.g."
-        # but these values do not get stored in technology partner files.
-        # Oxford Instruments nowadays stores coordinate systems implicitly by
-        # communicating the specification of their file format (like H5OINA)
-        # print("Parsing coordinate system...")
-        prefix = (
-            f"/ENTRY[entry{self.entry_id}]/"
-            f"COORDINATE_SYSTEM_SET[coordinate_system_set]/"
-        )
-        # this is likely not yet matching how it should be in NeXus
-        grpnm = f"{prefix}TRANSFORMATIONS[laboratory]/"
-        cs_xyz = np.asarray(
-            [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]], np.float64
-        )
-        cs_names = ["x", "y", "z"]
-        for i in np.arange(0, 3):
-            trg = f"{grpnm}AXISNAME[{cs_names[i]}]"
-            template[trg] = cs_xyz[:, i]
-            template[f"{trg}/@offset"] = np.asarray([0.0, 0.0, 0.0], np.float64)
-            template[f"{trg}/@offset_units"] = "m"
-            template[f"{trg}/@depends_on"] = "."
-
-        msg = """
-              This way of defining coordinate systems is only a small example of what
-              is possible and how it can be done. More discussion among members of
-              FAIRmat Areas A, B, C, and D and the EM community is needed !
-              """
-        template[f"{prefix}@comment"] = msg
-
-        return template
-
-    def parse_instrument_header_section(self, template: dict) -> dict:
-        """Copy data in instrument header section."""
-        # check if required fields exists and are valid
-        print("Parsing instrument header...")
-        src = "em_lab"
-        if isinstance(self.yml[src], fd.FlatDict):
-            trg = f"/ENTRY[entry{self.entry_id}]/em_lab/"
-
-            char_field_names = ["instrument_name", "location"]
-            for field_name in char_field_names:
-                if field_name in self.yml[src].keys():
-                    template[f"{trg}{field_name}"] = self.yml[f"{src}:{field_name}"]
-
-        src = "em_lab:fabrication"
-        if isinstance(self.yml[src], fd.FlatDict):
-            trg = f"/ENTRY[entry{self.entry_id}]/em_lab/FABRICATION[fabrication]/"
-            char_field_names = ["vendor", "model", "identifier", "capabilities"]
-            for field_name in char_field_names:
-                if field_name in self.yml[src].keys():
-                    template[f"{trg}{field_name}"] = self.yml[f"{src}:{field_name}"]
-
-        return template
-
-    def parse_ebeam_column_section(self, template: dict) -> dict:
-        """Copy data in ebeam_column section."""
-        # print("Parsing ebeam_column...")
-
-        src = "em_lab:ebeam_column:electron_source"
-        if isinstance(self.yml[src], fd.FlatDict):
-            trg = (
-                f"/ENTRY[entry{self.entry_id}]/em_lab/"
-                f"EBEAM_COLUMN[ebeam_column]/electron_source/"
-            )
-
-            float_field_names = ["voltage"]
-            for field_name in float_field_names:
-                if (f"{field_name}:value" in self.yml[src].keys()) and (
-                    f"{field_name}:unit" in self.yml[src].keys()
-                ):
-                    template[f"{trg}{field_name}"] = np.float64(
-                        self.yml[f"{src}:{field_name}:value"]
-                    )
-                    template[f"{trg}{field_name}/@units"] = self.yml[
-                        f"{src}:{field_name}:unit"
-                    ]
-
-            char_field_names = ["emitter_type"]
-            for field_name in char_field_names:
-                if field_name in self.yml[src].keys():
-                    template[f"{trg}{field_name}"] = self.yml[f"{src}:{field_name}"]
-
-        src = "em_lab:ebeam_column:aperture_em"
-        if isinstance(self.yml[src], list):
-            if len(self.yml[src]) >= 1:
-                aperture_id = 1
-                for aperture in self.yml[src]:
-                    trg = (
-                        f"/ENTRY[entry{self.entry_id}]/em_lab/"
-                        f"EBEAM_COLUMN[ebeam_column]/"
-                        f"APERTURE_EM[aperture_em{aperture_id}]/"
-                    )
-                    if "value" in aperture.keys():
-                        template[f"{trg}value"] = np.float64(aperture["value"])
-                    char_field_names = ["name", "description"]
-                    for field_name in char_field_names:
-                        if field_name in aperture.keys():
-                            template[f"{trg}{field_name}"] = aperture[f"{field_name}"]
-                    aperture_id += 1
-
-        # the above-mentioned snippet is a blue-print for lenses also...
-
-        # corrector_cs
-        src = "em_lab:ebeam_column:aberration_correction"
-        trg = (
-            f"/ENTRY[entry{self.entry_id}]/em_lab/"
-            f"EBEAM_COLUMN[ebeam_column]/aberration_correction/"
-        )
-        if "applied" in self.yml[src].keys():
-            template[f"{trg}applied"] = self.yml[f"{src}:applied"]
-
-        # the inject of corrector metadata is highly instrument specific, e.g.
-        # for Nion microscopes these settings are available from nionswift
-        # for ThermoFisher/FEI microscopes like the Titan there is an HTML output file
-        # from the Zemlin tableau analysis
-
-        # NEW ISSUE: support parsing of corrector data (pre2 for Thilo)
-
-        return template
-
-    def parse_ibeam_column_section(self, template: dict) -> dict:
-        """Copy data in ibeam_column section."""
-        # print("Parsing ibeam_column...")
-        return template
-
-    def parse_ebeam_deflector_section(self, template: dict) -> dict:
-        """Copy data in ebeam_deflector section."""
-        # print("Parsing ebeam_deflector...")
-        return template
-
-    def parse_ibeam_deflector_section(self, template: dict) -> dict:
-        """Copy data in ibeam_deflector section."""
-        # print("Parsing ibeam_deflector...")
-        return template
-
-    def parse_optics_section(self, template: dict) -> dict:
-        """Copy data in optical_system_em section."""
-        # print("Parsing optics...")
-        src = "em_lab:optical_system_em"
-        if isinstance(self.yml[src], fd.FlatDict):
-            trg = (
-                f"/ENTRY[entry{self.entry_id}]/em_lab/"
-                f"OPTICAL_SYSTEM_EM[optical_system_em]/"
-            )
-
-            char_field_names = ["beam_current_description"]
-            for field_name in char_field_names:
-                if field_name in self.yml[src].keys():
-                    template[f"{trg}{field_name}"] = self.yml[f"{src}:{field_name}"]
-
-            float_field_names = [
-                "camera_length",
-                "magnification",
-                "defocus",
-                "semi_convergence_angle",
-                "working_distance",
-                "beam_current",
-            ]
-            for field_name in float_field_names:
-                if (f"{field_name}:value" in self.yml[src].keys()) and (
-                    f"{field_name}:unit" in self.yml[src].keys()
-                ):
-                    template[f"{trg}{field_name}"] = np.float64(
-                        self.yml[f"{src}:{field_name}:value"]
-                    )
-                    template[f"{trg}{field_name}/@units"] = self.yml[
-                        f"{src}:{field_name}:unit"
-                    ]
-
-        return template
-
-    def parse_detector_section(self, template: dict) -> dict:
-        """Copy data in detector section."""
-        # print("Parsing detector...")
-        src = "em_lab:detector"
-        if not isinstance(self.yml[src], list):
-            return template
-
-        if len(self.yml[src]) >= 1:
-            detector_id = 1
-            for detector in self.yml[src]:
-                if isinstance(detector, dict):
-                    trg = (
-                        f"/ENTRY[entry{self.entry_id}]/em_lab/"
-                        f"DETECTOR[detector{detector_id}]/"
-                    )
-
-                    char_field_names = ["local_name"]
-                    for field_name in char_field_names:
-                        if field_name in detector.keys():
-                            template[f"{trg}{field_name}"] = detector[f"{field_name}"]
-                detector_id += 1
-
-        return template
-
-    def parse_stage_lab_section(self, template: dict) -> dict:
-        """Copy data in stage lab section."""
-        # print("Parsing stage_lab...")
-        src = "em_lab:stage_lab"
-        if isinstance(self.yml[src], fd.FlatDict):
-            trg = f"/ENTRY[entry{self.entry_id}]/em_lab/stage_lab/"
-
-            char_field_names = ["name"]
-            for field_name in char_field_names:
-                if field_name in self.yml[src].keys():
-                    template[f"{trg}{field_name}"] = self.yml[f"{src}:{field_name}"]
-
-        return template
-
-    def report(self, template: dict) -> dict:
-        """Copy data from self into template the appdef instance."""
-        self.parse_entry_section(template)
-        self.parse_user_section(template)
-        self.parse_sample_section(template)
-        self.parse_coordinate_system_section(template)
-        self.parse_instrument_header_section(template)
-        self.parse_ebeam_column_section(template)
-        self.parse_ibeam_column_section(template)
-        self.parse_ebeam_deflector_section(template)
-        self.parse_ibeam_deflector_section(template)
-        self.parse_optics_section(template)
-        self.parse_detector_section(template)
-        self.parse_stage_lab_section(template)
-
-        return template
diff --git a/pynxtools/dataconverter/readers/em_spctrscpy/utils/em_nexus_base_classes.py b/pynxtools/dataconverter/readers/em_spctrscpy/utils/em_nexus_base_classes.py
deleted file mode 100644
index daccf1021..000000000
--- a/pynxtools/dataconverter/readers/em_spctrscpy/utils/em_nexus_base_classes.py
+++ /dev/null
@@ -1,181 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""General metadata object connecting units and values for a quantity."""
-
-# pylint: disable=no-member
-
-from typing import Dict
-
-from pynxtools.dataconverter.readers.em_spctrscpy.utils.em_versioning import (
-    NX_EM_ADEF_NAME,
-    NX_EM_ADEF_VERSION,
-    NX_EM_EXEC_NAME,
-    NX_EM_EXEC_VERSION,
-)
-
-
-class NxObject:  # pylint: disable=too-few-public-methods
-    """An object in a graph e.g. a field or group in NeXus."""
-
-    def __init__(
-        self, name: str = None, unit: str = None, dtype=str, value=None, **kwargs
-    ):
-        if name is not None:
-            assert name != "", "Argument name needs to be a non-empty string !"
-        if unit is not None:
-            assert unit != "", "Argument unit needs to be a non-empty string !"
-        assert dtype is not None, "Argument dtype must not be None !"
-        if dtype is not None:
-            assert isinstance(
-                dtype, type
-            ), "Argument dtype needs a valid, ideally numpy, datatype !"
-        # ##MK::if value is not None:
-        self.is_a = "NXobject"
-        self.is_attr = False  # if True indicates object is attribute
-        self.doc = ""  # docstring
-        self.name = name  # name of the field
-        self.unit = unit  # not unit category but actual unit
-        # use special values "unitless" for NX_UNITLESS (e.g. 1) and
-        # "dimensionless" for NX_DIMENSIONLESS (e.g. 1m / 1m)
-        self.dtype = dtype  # use np.dtype if possible
-        if value is None or dtype is str:
-            self.unit = "unitless"
-        if value is not None:
-            self.value = value
-        else:
-            self.value = None
-        # value should be a numpy scalar, tensor, or string if possible
-        if "is_attr" in kwargs:
-            assert isinstance(
-                kwargs["is_attr"], bool
-            ), "Kwarg is_attr needs to be a boolean !"
-            self.is_attr = kwargs["is_attr"]
-
-    def __repr__(self):
-        """Report values."""
-        return f"""Name: {self.name}, unit: {self.unit}, dtype: {self.dtype}"""
-
-
-class NxEmUser:  # pylint: disable=too-few-public-methods
-    """An object representing a user, typically a human."""
-
-    def __init__(self):
-        self.meta: Dict[str, NxObject] = {}
-        self.meta["name"] = NxObject()
-        self.meta["affiliation"] = NxObject()
-        self.meta["address"] = NxObject()
-        self.meta["email"] = NxObject()
-        self.meta["orcid"] = NxObject()
-        self.meta["telephone_number"] = NxObject()
-        self.meta["role"] = NxObject()
-        self.meta["social_media_name"] = NxObject()
-        self.meta["social_media_platform"] = NxObject()
-
-    def report(self, prefix: str, template: dict) -> dict:
-        """Copy data from self into template the appdef instance.
-
-        Paths in template are prefixed by prefix and have to be compliant
-        with the application definition.
-        """
-        template[f"{prefix}/address"] = self.meta["address"].value
-        template[f"{prefix}/affiliation"] = self.meta["affiliation"].value
-        template[f"{prefix}/email"] = self.meta["email"].value
-        template[f"{prefix}/name"] = self.meta["name"].value
-        template[f"{prefix}/orcid"] = self.meta["orcid"].value
-        template[f"{prefix}/role"] = self.meta["role"].value
-        template[f"{prefix}/social_media_name"] = self.meta["social_media_name"].value
-        template[f"{prefix}/social_media_platform"] = self.meta[
-            "social_media_platform"
-        ].value
-        template[f"{prefix}/telephone_number"] = self.meta["telephone_number"].value
-        return template
-
-
-class NxEmSample:  # pylint: disable=too-few-public-methods
-    """An object representing a sample."""
-
-    def __init__(self):
-        self.meta: Dict[str, NxObject] = {}
-        self.meta["method"] = NxObject(value="experimental")
-        self.meta["name"] = NxObject()
-        self.meta["sample_history"] = NxObject()
-        self.meta["preparation_date"] = NxObject()
-        self.meta["short_title"] = NxObject()
-        self.meta["atom_types"] = NxObject(value=[])
-        self.meta["thickness"] = NxObject()
-        self.meta["description"] = NxObject()
-
-    def report(self, prefix: str, template: dict) -> dict:
-        """Copy data from self into template the appdef instance.
-
-        Paths in template are prefixed by prefix and have to be compliant
-        with the application definition.
-        """
-        template[f"{prefix}/method"] = self.meta["method"].value
-        template[f"{prefix}/name"] = self.meta["name"].value
-        template[f"{prefix}/sample_history"] = self.meta["sample_history"].value
-        template[f"{prefix}/preparation_date"] = self.meta["preparation_date"].value
-        template[f"{prefix}/short_title"] = self.meta["short_title"].value
-        template[f"{prefix}/atom_types"] = self.meta["atom_types"].value
-        template[f"{prefix}/thickness"] = self.meta["thickness"].value
-        template[f"{prefix}/thickness/@units"] = self.meta["thickness"].unit
-        template[f"{prefix}/description"] = self.meta["description"].value
-        return template
-
-
-class NxEmAppDefHeader:  # pylint: disable=too-few-public-methods
-    """An object representing the typical header of nexus-fairmat appdefs."""
-
-    def __init__(self):
-        self.meta: Dict[str, NxObject] = {}
-        self.meta["version"] = NxObject(value=NX_EM_ADEF_VERSION, is_attr=True)
-        self.meta["definition"] = NxObject(value=NX_EM_ADEF_NAME)
-        self.meta["experiment_identifier"] = NxObject()
-        self.meta["experiment_description"] = NxObject()
-        self.meta["start_time"] = NxObject()
-        self.meta["end_time"] = NxObject()
-        self.meta["program"] = NxObject(value=NX_EM_EXEC_NAME)
-        self.meta["program_version"] = NxObject(value=NX_EM_EXEC_VERSION, is_attr=True)
-        self.meta["experiment_documentation"] = NxObject()
-        self.meta["thumbnail"] = NxObject()
-        self.meta["thumbnail_type"] = NxObject()
-
-    def report(self, prefix: str, template: dict) -> dict:
-        """Copy data from self into template the appdef instance.
-
-        Paths in template are prefixed by prefix and have to be compliant
-        with the application definition.
-        """
-        template[f"{prefix}/@version"] = self.meta["version"].value
-        template[f"{prefix}/definition"] = self.meta["definition"].value
-        template[f"{prefix}/experiment_identifier"] = self.meta[
-            "experiment_identifier"
-        ].value
-        template[f"{prefix}/experiment_description"] = self.meta[
-            "experiment_description"
-        ].value
-        template[f"{prefix}/start_time"] = self.meta["start_time"].value
-        template[f"{prefix}/end_time"] = self.meta["end_time"].value
-        template[f"{prefix}/program"] = self.meta["program"].value
-        template[f"{prefix}/program/@version"] = self.meta["program_version"].value
-        template[f"{prefix}/experiment_documentation"] = self.meta[
-            "experiment_documentation"
-        ].value
-        template[f"{prefix}/thumbnail"] = self.meta["thumbnail"].value
-        template[f"{prefix}/thumbnail/@type"] = self.meta["thumbnail_type"].value
-        return template
diff --git a/pynxtools/dataconverter/readers/em_spctrscpy/utils/em_nexus_plots.py b/pynxtools/dataconverter/readers/em_spctrscpy/utils/em_nexus_plots.py
deleted file mode 100644
index c6f5b4a69..000000000
--- a/pynxtools/dataconverter/readers/em_spctrscpy/utils/em_nexus_plots.py
+++ /dev/null
@@ -1,193 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Parser for adding default plots and path to them to template."""
-
-# pylint: disable=no-member
-
-import numpy as np
-
-# ##MK::for EDS use the spectrum stack, the more generic, the more complex
-# ##MK::the logic has to be to infer a default plottable
-# when using hyperspy and EDS data, the path to the default plottable
-# should point to an existent plot, in this example we use the
-# NxSpectrumSetEmXray stack_data instance in the first event ...
-# default plot selection preference in decreasing order of relevance
-# ebsd > xray > eels > adf > bse, se
-# spectrum_set_ebsd: ipf > overview > stack
-# spectrum_set_xray: stack > summary > overview
-# spectrum_set_eels: stack > summary > overview
-# image_set_adf: overview
-# image_set_se/bse: overview
-
-
-def xray_plot_available(template: dict, entry_id: int) -> bool:
-    """Choose a preferred NXdata/data instance for Xray."""
-    entry_name = f"entry{entry_id}"
-    trg = f"/ENTRY[{entry_name}]/measurement/" f"EVENT_DATA_EM[event_data_em1]/xray/"
-
-    path = ""
-    if f"{trg}stack/DATA[data_counts]" in template.keys():
-        assert isinstance(
-            template[f"{trg}stack/DATA[data_counts]"]["compress"], np.ndarray
-        ), "EDS data stack not existent!"
-        path = "stack"
-    if f"{trg}summary/DATA[data_counts]" in template.keys():
-        assert isinstance(
-            template[f"{trg}summary/DATA[data_counts]"]["compress"], np.ndarray
-        ), "EDS data summary not existent!"
-        path = "summary"
-
-    if path != "":
-        print(f"Found xray default plot for {entry_name} at {path}")
-        trg = "/"
-        template[f"{trg}@default"] = entry_name
-        trg = f"/ENTRY[{entry_name}]/"
-        template[f"{trg}@default"] = "measurement"
-        trg += "measurement/"
-        template[f"{trg}@default"] = "event_data_em1"
-        trg += "EVENT_DATA_EM[event_data_em1]/"
-        template[f"{trg}@default"] = "xray"
-        trg += "xray/"
-        template[f"{trg}@default"] = path
-        return True
-
-    return False
-
-
-def eels_plot_available(template: dict, entry_id: int) -> bool:
-    """Choose a preferred NXdata/data instance for EELS."""
-    entry_name = f"entry{entry_id}"
-    trg = f"/ENTRY[{entry_name}]/measurement/" f"EVENT_DATA_EM[event_data_em1]/eels/"
-
-    path = ""
-    if f"{trg}stack/DATA[data_counts]" in template.keys():
-        assert isinstance(
-            template[f"{trg}stack/DATA[data_counts]"]["compress"], np.ndarray
-        ), "EELS data stack not existent!"
-        path = "stack"
-    if f"{trg}summary/DATA[data_counts]" in template.keys():
-        assert isinstance(
-            template[f"{trg}summary/DATA[data_counts]"]["compress"], np.ndarray
-        ), "EELS data summary not existent!"
-        path = "summary"
-
-    if path != "":
-        print(f"Found eels default plot for {entry_name} at {path}")
-        trg = "/"
-        template[f"{trg}@default"] = entry_name
-        trg = f"/ENTRY[{entry_name}]/"
-        template[f"{trg}@default"] = "measurement"
-        trg += "measurement/"
-        template[f"{trg}@default"] = "event_data_em1"
-        trg += "EVENT_DATA_EM[event_data_em1]/"
-        template[f"{trg}@default"] = "eels"
-        trg += "eels/"
-        template[f"{trg}@default"] = path
-        return True
-
-    return False
-
-
-def adf_plot_available(template: dict, entry_id: int) -> bool:
-    """Choose a preferred NXdata/data instance for ADF."""
-    entry_name = f"entry{entry_id}"
-    trg = f"/ENTRY[{entry_name}]/measurement/" f"EVENT_DATA_EM[event_data_em1]/adf/"
-
-    path = ""
-    if f"{trg}stack/DATA[data_counts]" in template.keys():
-        assert isinstance(
-            template[f"{trg}stack/DATA[data_counts]"]["compress"], np.ndarray
-        ), "ADF data stack not existent!"
-        path = "stack"
-
-    if path != "":
-        print(f"Found adf default plot for entry {entry_name} at {path}")
-        trg = "/"
-        template[f"{trg}@default"] = entry_name
-        trg = f"/ENTRY[{entry_name}]/"
-        template[f"{trg}@default"] = "measurement"
-        trg += "measurement/"
-        template[f"{trg}@default"] = "event_data_em1"
-        trg += "EVENT_DATA_EM[event_data_em1]/"
-        template[f"{trg}@default"] = "adf"
-        trg += "adf/"
-        template[f"{trg}@default"] = path
-        return True
-
-    return False
-
-
-def image_plot_available(template: dict, entry_id: int) -> bool:
-    """Choose a preferred NXdata/data instance for generic image."""
-    entry_name = f"entry{entry_id}"
-    trg = (
-        f"/ENTRY[{entry_name}]/measurement/EVENT_DATA_EM[event_data_em1]/"
-        f"IMAGE_SET[image_set1]/"
-    )
-
-    path = ""
-    if f"{trg}DATA[stack]/data_counts" in template.keys():
-        assert isinstance(
-            template[f"{trg}DATA[stack]/data_counts"]["compress"], np.ndarray
-        ), "Generic image data stack not existent!"
-        path = "stack"
-
-    if path != "":
-        print(f"Found image default plot for {entry_name} at {path}")
-        trg = "/"
-        template[f"{trg}@default"] = entry_name
-        trg = f"/ENTRY[{entry_name}]/"
-        template[f"{trg}@default"] = "measurement"
-        trg += "measurement/"
-        template[f"{trg}@default"] = "event_data_em1"
-        trg += "EVENT_DATA_EM[event_data_em1]/"
-        template[f"{trg}@default"] = "image_set1"
-        trg += "IMAGE_SET[image_set1]/"
-        template[f"{trg}@default"] = path
-        return True
-
-    return False
-
-
-def em_spctrscpy_default_plot_generator(
-    template: dict, n_entries: int
-) -> dict:  # ignore:R0915
-    """For a valid NXS file at least one default plot is required."""
-
-    for entry_id in np.arange(1, n_entries + 1):
-        # by convention showing always the first entry of an NXevent_data_em
-
-        # add ebsd
-
-        if xray_plot_available(template, entry_id) is True:
-            continue
-
-        if eels_plot_available(template, entry_id) is True:
-            continue
-
-        if adf_plot_available(template, entry_id) is True:
-            continue
-
-        # add bse, se
-
-        if image_plot_available(template, entry_id) is True:
-            continue
-
-        print(f"WARNING: No path to a default plot found for entry{entry_id} !")
-
-    return template
diff --git a/pynxtools/dataconverter/readers/em_spctrscpy/utils/em_use_case_selector.py b/pynxtools/dataconverter/readers/em_spctrscpy/utils/em_use_case_selector.py
deleted file mode 100644
index 0f5309cb1..000000000
--- a/pynxtools/dataconverter/readers/em_spctrscpy/utils/em_use_case_selector.py
+++ /dev/null
@@ -1,93 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Utility class to analyze which vendor/community files are passed to em reader."""
-
-# pylint: disable=no-member,duplicate-code
-
-from typing import Tuple, Dict, List
-
-
-class EmUseCaseSelector:  # pylint: disable=too-few-public-methods
-    """Decision maker about what needs to be parsed given arbitrary input.
-
-    Users might invoke this dataconverter with arbitrary input, no input, or
-    too much input. The UseCaseSelector decide what to do in each case.
-    """
-
-    def __init__(self, file_paths: Tuple[str] = None):
-        """Initialize the class.
-
-        dataset injects numerical data and metadata from an analysis.
-        eln injects additional metadata and eventually numerical data.
-        """
-        self.case: Dict[str, list] = {}
-        self.vendor_parser = "none"
-        self.vendor: List[str] = []
-        self.eln: List[str] = []
-        self.eln_parser = "none"
-        self.is_valid = False
-        self.supported_mime_types = ["bcf", "emd", "dm3", "h5oina", "yaml", "yml"]
-        for mime_type in self.supported_mime_types:
-            self.case[mime_type] = []
-        for file_name in file_paths:
-            index = file_name.lower().rfind(".")
-            if index >= 0:
-                suffix = file_name.lower()[index + 1 : :]
-                add = (suffix in self.supported_mime_types) and (
-                    file_name not in self.case[suffix]
-                )
-                if add is True:
-                    self.case[suffix].append(file_name)
-        # the em reader currently supports a combination of one vendor file and
-        # one ELN/YAML file, vendor files can come from different microscopes
-        # which requires to distinguish between which reader has to be used
-        # the OxfordInstrument reader for H5OINA
-        # or the HyperSpy reader for Bruker BCF, Velox EMD, or Digital Micrograph DM3
-        oina_input = 0
-        for mime_type, value in self.case.items():
-            if mime_type in ["h5oina"]:
-                oina_input += len(value)
-        hspy_input = 0
-        for mime_type, value in self.case.items():
-            if mime_type in ["bcf", "dm3", "emd"]:
-                hspy_input += len(value)
-
-        assert (oina_input == 1) or (
-            hspy_input == 1
-        ), "Currently the reader supports to have only one vendor input file!"
-        if oina_input == 1:
-            self.vendor += self.case["h5oina"]
-            self.vendor_parser = "oina"
-        if hspy_input == 1:
-            for mime_type in ["bcf", "emd", "dm3"]:
-                self.vendor += self.case[mime_type]
-                self.vendor_parser = "hspy"
-
-        eln_input = len(self.case["yaml"]) + len(self.case["yml"])
-        assert (
-            eln_input == 1
-        ), "Currently the reader supports to have only one YAML input-file!"
-
-        for mime_type in ["yaml", "yml"]:
-            self.eln += self.case[mime_type]
-            self.eln_parser = "nomad-oasis"
-
-        self.is_valid = True
-
-
-# test = EmUseCaseSelector(("a.bcf", "b.yaml", "c.apt", "d.h5oina"))
diff --git a/pynxtools/dataconverter/readers/em_spctrscpy/utils/em_versioning.py b/pynxtools/dataconverter/readers/em_spctrscpy/utils/em_versioning.py
deleted file mode 100644
index 5ad44ec51..000000000
--- a/pynxtools/dataconverter/readers/em_spctrscpy/utils/em_versioning.py
+++ /dev/null
@@ -1,31 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Utility tool constants and versioning."""
-
-# pylint: disable=no-member
-
-from pynxtools.dataconverter.readers.shared.shared_utils import get_repo_last_commit
-
-
-NX_EM_ADEF_NAME = "NXem"
-NX_EM_ADEF_VERSION = (
-    "nexus-fairmat-proposal successor of " "9636feecb79bb32b828b1a9804269573256d7696"
-)
-# based on https://fairmat-experimental.github.io/nexus-fairmat-proposal
-NX_EM_EXEC_NAME = "dataconverter/reader/em_sptrscpy/reader.py"
-NX_EM_EXEC_VERSION = get_repo_last_commit()
diff --git a/pynxtools/dataconverter/readers/em_spctrscpy/utils/hspy/em_hspy_adf.py b/pynxtools/dataconverter/readers/em_spctrscpy/utils/hspy/em_hspy_adf.py
deleted file mode 100644
index 085e10754..000000000
--- a/pynxtools/dataconverter/readers/em_spctrscpy/utils/hspy/em_hspy_adf.py
+++ /dev/null
@@ -1,258 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Classes representing groups with NeXus-ish formatted data parsed from hspy."""
-
-# pylint: disable=no-member
-
-from typing import Dict
-
-import numpy as np
-
-import hyperspy.api as hs
-
-from pynxtools.dataconverter.readers.em_spctrscpy.utils.em_nexus_base_classes import (
-    NxObject,
-)
-
-
-class HspyRectRoiAdfImage:
-    """Representing a stack of annular dark field image(s) with metadata."""
-
-    def __init__(self, hspy_clss):
-        self.meta: Dict[str, NxObject] = {}
-        self.meta["long_name"] = NxObject()
-        self.meta["intensity"] = NxObject()
-        self.meta["image_id"] = NxObject()
-        self.meta["xpos"] = NxObject()
-        self.meta["xpos_long_name"] = NxObject()
-        self.meta["ypos"] = NxObject()
-        self.meta["ypos_long_name"] = NxObject()
-        self.is_valid = True
-
-        self.is_supported(hspy_clss)
-        self.parse(hspy_clss)
-
-    def is_supported(self, hspy_s2d):
-        """Check if the input has supported axes_manager and key metadata."""
-        assert (
-            hspy_s2d.metadata["Signal"]["signal_type"] == ""
-        ), "hspy_s2d is not a valid hyperspy generic instance !"
-        assert hspy_s2d.data.ndim == 2, "hspy_s2d is not a valid 2D dataset !"
-        axes_dict = hspy_s2d.axes_manager.as_dictionary()
-        required_axis_names = ["axis-0", "axis-1"]
-        for req_key in required_axis_names:
-            assert req_key in axes_dict.keys(), (
-                req_key + " is unexpectedly not registered in the axes_manager !"
-            )
-        required_keywords = ["_type", "name", "units", "size", "scale", "offset"]
-        avail_axis_names = []
-        for keyword in axes_dict.keys():
-            for req_key in required_keywords:  # check if all required keys exist
-                assert req_key in axes_dict[keyword].keys(), (
-                    "hspy_s2d axis " + keyword + " lacks " + req_key + " !"
-                )
-            assert axes_dict[keyword]["_type"] == "UniformDataAxis", (
-                keyword + ", this axis is not of type UniformDataAxis !"
-            )
-            avail_axis_names.append(axes_dict[keyword]["name"])
-
-        axes_as_expected_emd = np.all(np.sort(avail_axis_names) == np.sort(["y", "x"]))
-        axes_as_expected_bcf = np.all(
-            np.sort(avail_axis_names) == np.sort(["height", "width"])
-        )
-        # ##MK::Adrien/Cecile"s BCF and EMD example contains at least one
-        # such case where the hyperspy created view in metadata is not
-        # consistent across representations generated with different parsers
-        # this demands adaptive strategies like the one above
-        # in the example e.g. the Bruker HAADF image stores dimensions
-        # as height and width, while digital micrograph and Velox EMD store
-        # y and x... both names are useless without a coordinate system
-        # so here discussions with vendors, hspy developers and community are
-        # needed!
-        if (axes_as_expected_emd is False) and (axes_as_expected_bcf is False):
-            print(f"\tIn function {__name__} as expected")
-            self.is_valid = False
-
-    def parse(self, hspy_s2d):
-        """Parse a hyperspy Signal2D instance into an NX default plottable."""
-        # self.long_name.value = hspy_s2d.metadata["Signal"]["signal_type"]
-        if self.is_valid is False:
-            pass
-        print(f"\tIn function {__name__}")
-        self.meta["long_name"].value = hspy_s2d.metadata["General"]["title"]
-        self.meta["intensity"].value = hspy_s2d.data  # hspy uses numpy and adapts ??
-        axes_dict = hspy_s2d.axes_manager.as_dictionary()
-        for keyword in axes_dict.keys():
-            offset = np.float64(axes_dict[keyword]["offset"])
-            scale = np.float64(axes_dict[keyword]["scale"])
-            size = np.uint32(axes_dict[keyword]["size"])
-            unit = str(axes_dict[keyword]["units"])
-            y_axis = (axes_dict[keyword]["name"] == "y") or (
-                axes_dict[keyword]["name"] == "height"
-            )
-            x_axis = (axes_dict[keyword]["name"] == "x") or (
-                axes_dict[keyword]["name"] == "width"
-            )
-            if y_axis is True:
-                assert axes_dict[keyword]["_type"] == "UniformDataAxis", (
-                    keyword + ", this x axis is not of type UniformDataAxis !"
-                )
-                self.meta["ypos"].value = np.asarray(
-                    np.linspace(0.0, np.float64(size) * scale, num=size, endpoint=True)
-                    + offset / 2.0,
-                    np.float64,
-                )
-                self.meta["ypos"].unit = unit
-                self.meta["ypos_long_name"].value = "y"  # ##MK::name y always!
-            if x_axis is True:
-                assert axes_dict[keyword]["_type"] == "UniformDataAxis", (
-                    keyword + ", this y axis is not of type UniformDataAxis !"
-                )
-                self.meta["xpos"].value = np.asarray(
-                    np.linspace(0.0, np.float64(size) * scale, num=size, endpoint=True)
-                    + offset / 2.0,
-                    np.float64,
-                )
-                self.meta["xpos"].unit = unit
-                self.meta["xpos_long_name"].value = "x"  # ##MK::name x always!
-            # ##MK::improve case handling
-        self.is_valid = True
-
-
-class NxImageSetEmAdf:
-    """Representing a set of (HA)ADF images with metadata."""
-
-    def __init__(self, hspy_list):
-        self.meta: Dict[str, NxObject] = {}
-        self.meta["program"] = NxObject()
-        self.meta["program_version"] = NxObject(is_attr=True)
-        self.meta["adf_inner_half_angle"] = NxObject()
-        self.meta["adf_outer_half_angle"] = NxObject()
-        # an NXdata object, here represented as an instance of HspyRectRoiAdfImage
-        self.data = []
-        self.is_valid = True
-
-        self.is_an_implemented_case(hspy_list)
-        self.parse_hspy_instances(hspy_list)
-
-    def is_an_implemented_case(self, hspy_list):
-        """Check if signal instances in a list is a supported combination."""
-        # an Xray analysis which this implementation can support needs to be
-        # a rectangular ROI. This ROI should have one HAADF overview image
-        # one SpectraStack cnts = f(y, x, energy)
-        # one accumulated "sum" spectra cnts = f(energy)
-        # an arbitrary number of single element X-ray maps cnts = f(y, x)
-        cardinality_adf = 0
-        for hspy_clss in hspy_list:
-            if isinstance(hspy_clss, hs.signals.Signal2D) is True:
-                if hspy_clss.metadata["General"]["title"] == "HAADF":
-                    cardinality_adf += 1
-        if cardinality_adf != 1:
-            self.is_valid = False
-
-    def parse_hspy_instances(self, hspy_list):
-        """Extract hspy class instances.
-
-        These have to be mappable on NXem base classes
-        if these are understood by NOMAD OASIS.
-        """
-        if self.is_valid is False:
-            pass
-        print(f"\tIn function {__name__}")
-        for hspy_clss in hspy_list:
-            if isinstance(hspy_clss, hs.signals.Signal2D) is True:
-                ndim = hspy_clss.data.ndim
-                if ndim == 2:
-                    if hspy_clss.metadata["General"]["title"] == "HAADF":
-                        self.data.append(HspyRectRoiAdfImage(hspy_clss))
-                        # if self.data[-1].is_valid is False:
-                        #     self.is_valid = False
-
-    def report(self, prefix: str, frame_id: int, ifo: dict, template: dict) -> dict:
-        """Enter data from the NX-specific representation into the template."""
-        if self.is_valid is False:
-            print(f"\tIn function {__name__} reporting nothing!")
-            return template
-        print(f"\tIn function {__name__} reporting...")
-        assert (len(self.data) >= 0) and (
-            len(self.data) <= 1
-        ), "More than one spectrum stack is currently not supported!"
-
-        if len(self.data) == 1:
-            trg = f"{prefix}adf/PROCESS[process1]/"
-            template[f"{trg}PROGRAM[program1]/program"] = "hyperspy"
-            template[f"{trg}PROGRAM[program1]/program/@version"] = hs.__version__
-            template[f"{trg}mode"] = "n/a"
-            template[f"{trg}detector_identifier"] = "n/a"
-            template[f"{trg}source"] = ifo["source_file_name"]
-            template[f"{trg}source/@version"] = ifo["source_file_version"]
-
-            # MISSING_DATA_MSG = "not in hspy metadata case specifically in original_metadata"
-            # ##MK::!!!!!
-            # ##MK::how to communicate that these data do not exist?
-            # template[f"{trg}adf_outer_half_angle"] = np.float64(0.)
-            # template[f"{trg}adf_outer_half_angle/@units"] = "rad"
-            # template[f"{trg}adf_inner_half_angle"] = np.float64(0.)
-            # template[f"{trg}adf_inner_half_angle/@units"] = "rad"
-
-            trg = f"{prefix}adf/stack/"
-            template[f"{trg}title"] = "Annular dark field image stack"
-            # template[f"{trg}@long_name"] = self.data[0].meta["long_name"].value
-            template[f"{trg}@signal"] = "data_counts"
-            template[f"{trg}@axes"] = ["axis_image_identifier", "axis_y", "axis_x"]
-            template[f"{trg}@AXISNAME[axis_x_indices]"] = np.uint32(2)
-            template[f"{trg}@AXISNAME[axis_y_indices]"] = np.uint32(1)
-            template[f"{trg}@AXISNAME[axis_image_identifier]"] = np.uint32(0)
-            template[f"{trg}DATA[data_counts]"] = {
-                "compress": np.reshape(
-                    np.atleast_3d(self.data[0].meta["intensity"].value),
-                    (
-                        1,
-                        np.shape(self.data[0].meta["intensity"].value)[0],
-                        np.shape(self.data[0].meta["intensity"].value)[1],
-                    ),
-                ),
-                "strength": 1,
-            }
-            # is the data layout correct?
-            # I am pretty sure the last two have to be swopped also!!
-            template[f"{trg}DATA[data_counts]/@long_name"] = "Counts (a.u.)"
-            template[f"{trg}AXISNAME[axis_x]"] = {
-                "compress": self.data[0].meta["xpos"].value,
-                "strength": 1,
-            }
-            template[f"{trg}AXISNAME[axis_x]/@units"] = self.data[0].meta["xpos"].unit
-            template[
-                f"{trg}AXISNAME[axis_x]/@long_name"
-            ] = f"x ({self.data[0].meta['xpos'].unit})"
-            template[f"{trg}AXISNAME[axis_y]"] = {
-                "compress": self.data[0].meta["ypos"].value,
-                "strength": 1,
-            }
-            template[f"{trg}AXISNAME[axis_y]/@units"] = self.data[0].meta["ypos"].unit
-            template[
-                f"{trg}AXISNAME[axis_y]/@long_name"
-            ] = f"y ({self.data[0].meta['ypos'].unit})"
-            template[f"{trg}AXISNAME[axis_image_identifier]"] = np.atleast_1d(
-                np.uint32(frame_id)
-            )
-            template[
-                f"{trg}AXISNAME[axis_image_identifier]/@long_name"
-            ] = "image identifier"
-
-        return template
diff --git a/pynxtools/dataconverter/readers/em_spctrscpy/utils/hspy/em_hspy_comments.py b/pynxtools/dataconverter/readers/em_spctrscpy/utils/hspy/em_hspy_comments.py
deleted file mode 100644
index cc0f5a2f3..000000000
--- a/pynxtools/dataconverter/readers/em_spctrscpy/utils/hspy/em_hspy_comments.py
+++ /dev/null
@@ -1,90 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Developer comments."""
-
-# pylint: disable=no-member
-
-
-# ISSUE WITH HSPY DEFAULTS FOR MISSING VENDOR DOCS CAUSING NON-REPRODUCIBLE tSTAMPS
-# already the example with Adrien Teutrie's *.emd file shows
-# that the intended start_time and end_time as required by the appdef
-# are practically not reliable because, tested for hyperspy==1.7.1,
-# the times which are injected into the hyperspy metainfo object by the emd
-# i/o routine are substantially relying on default rules. An example:
-# First hyperspy asks FEI for an AcquisitionStartDatetime
-# which is what intuitively one would consider as the relevant time
-# however, if this metadata key is not included in the *.emd file,
-# hyperspy just adds for "convenience" the local system time!
-# however, this retrieval of the local system time depends heavily on
-# which version of the underlying libraries and operation system is used !
-# in a nutshell, what we ideally want is, to phrase it with python's
-# datetime package "time-zone-aware" objects to interact with and convert
-# times properly into one another
-# https://www.bloomberg.com/company/stories/work-dates-time-python/
-# but this is not what we face unfortunately, so consequently the parser
-# should leave the field marked with a note that the relevant time
-# was not reliably retrievable to avoid a potential proliferation of
-# mistakes down the analysis pipeline
-
-# this makes clear that to interpret and reproduce the content which
-# an emd reader creates on a given emd file, the results will be different
-# on different computers simply already because of these silent defaults
-# so strictly speaking one would have to run the parser inside a
-# container in the nomad oasis and not on the local host machine as if
-# one would do usually with somebody having a local instance of an oasis
-# and thus this local oasis would be used the local operating system and
-# installation to retrieve the start time and end time data from
-
-# from datetime import datetime
-# import pytz
-# timezone = pytz.timezone(dct["General"]['time_zone'])
-# from dateutil import tz
-# from dateutil.tz import *
-# from datetime import *
-# tz.tzlocal().tzname(datetime.today())
-# see KabulTz example here https://docs.python.org/3/library/datetime.html
-
-
-# ISSUES WITH ROUTING RAW and PROCESSED (META)DATA to SPECIFIC tSTAMPED HIERARCHIES
-# ##MK::the key question is how parsable content
-# (clss instances) from a hyperspy run stand in relation?
-# for instance if we load a vendor file and hspy spits out
-# it contains a HAADF, a sum EDS spectrum, and a EDS spectrum stack
-# can we safely assume that these images have been taken
-# in the same event? i.e. can we consider that the microscope
-# was able enough when the HAADF was taken and thereafter
-# the user acquired the spectrum/(a)? In general we cannot assume
-# that this is the case. However, hyperspy implies that
-# this is the case, given that hspy can in many cases simply
-# also not build on or even parse timestamps and interpret them
-# consequently, all we get is a specific view of the experiment and
-# some key steps and metadata to its processing
-# in summary, NXem is much more general than what is commonly
-# available via interoperability improving tools like hyperspy
-
-# These points substantiate that two key ingredients are missing
-# a proper time(stamp) tracking of actions on the microscope and a
-# agreed upon documented! format how to understand these time stamps
-#   of course eventually anonymized wrt to who was the user
-#   but at least a clear statement when these were taken
-# a proper and much more detailed documentation of the
-#   vendor file formats and their relation to the software library
-#   which and when in which context the tool was running
-#   so that hspy devlopers can extract
-#   these time stamps and use them to route the data
-#   into more useful interoperable respective places.
diff --git a/pynxtools/dataconverter/readers/em_spctrscpy/utils/hspy/em_hspy_eels.py b/pynxtools/dataconverter/readers/em_spctrscpy/utils/hspy/em_hspy_eels.py
deleted file mode 100644
index 8c890e40d..000000000
--- a/pynxtools/dataconverter/readers/em_spctrscpy/utils/hspy/em_hspy_eels.py
+++ /dev/null
@@ -1,357 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Classes representing groups with NeXus-ish formatted data parsed from hspy."""
-
-# pylint: disable=no-member
-
-from typing import Dict
-
-import numpy as np
-
-import hyperspy.api as hs
-
-from pynxtools.dataconverter.readers.em_spctrscpy.utils.em_nexus_base_classes import (
-    NxObject,
-)
-
-
-class HspyRectRoiEelsAllSpectra:
-    """Representing a regular stack of EELS spectra over a rectangular ROI."""
-
-    def __init__(self, hspy_clss):
-        self.meta: Dict[str, NxObject] = {}
-        self.meta["program"] = NxObject(value="hyperspy")
-        self.meta["program_version"] = NxObject(value=hs.__version__)
-        self.meta["title"] = NxObject()
-        self.meta["long_name"] = NxObject()  # value="counts")
-        self.meta["counts"] = NxObject()
-        self.meta["xpos"] = NxObject()
-        self.meta["xpos_long_name"] = NxObject()
-        self.meta["ypos"] = NxObject()
-        self.meta["ypos_long_name"] = NxObject()
-        self.meta["energy_loss"] = NxObject()
-        self.meta["energy_loss_long_name"] = NxObject()
-        # value="Electron energy loss")
-        self.is_valid = True
-
-        self.is_supported(hspy_clss)
-        self.parse(hspy_clss)
-
-    def is_supported(self, hspy_s3d):
-        """Check if the input has supported axes_manager and key metadata."""
-        assert (
-            hspy_s3d.metadata["Signal"]["signal_type"] == "EELS"
-        ), "hspy_s3d is not a valid EELS hyperspy instance !"
-        assert hspy_s3d.data.ndim == 3, "hspy_s3d is not a valid 3D dataset !"
-        axes_dict = hspy_s3d.axes_manager.as_dictionary()
-        required_axis_names = ["axis-0", "axis-1", "axis-2"]
-        for req_key in required_axis_names:
-            assert req_key in axes_dict.keys(), (
-                req_key + " is unexpectedly not registered in the axes_manager !"
-            )
-        required_keywords = ["_type", "name", "units", "size", "scale", "offset"]
-        avail_axis_names = []
-        for keyword in axes_dict.keys():
-            for req_key in required_keywords:  # check if all required keys exist
-                assert req_key in axes_dict[keyword].keys(), (
-                    "hspy_s3d axis " + keyword + " lacks " + req_key + " !"
-                )
-
-            assert axes_dict[keyword]["_type"] == "UniformDataAxis", (
-                keyword + ", this axis is not of type UniformDataAxis !"
-            )
-            avail_axis_names.append(axes_dict[keyword]["name"])
-
-        print(np.sort(avail_axis_names))
-        print(np.sort(["y", "x", "Energy loss"]))
-        axes_as_expected = np.all(
-            np.sort(avail_axis_names) == np.sort(["y", "x", "Energy loss"])
-        )
-        if axes_as_expected is False:
-            print(f"\tIn function {__name__} as expected")
-            self.is_valid = False
-
-    def parse(self, hspy_s3d):
-        """Parse a hyperspy Signal3D stack instance into an NX default plottable."""
-        if self.is_valid is False:
-            pass
-        print(f"\tIn function {__name__}")
-        # self.meta["title"].value = hspy_s3d.metadata["General"]["title"]
-        self.meta["long_name"].value = hspy_s3d.metadata["Signal"]["signal_type"]
-        # self.meta["long_name"].value = hspy_s3d.metadata["General"]["title"]
-        self.meta["title"].value = hspy_s3d.metadata["Signal"]["signal_type"]
-        self.meta["counts"].value = hspy_s3d.data  # hspy uses numpy and adapts ??
-        axes_dict = hspy_s3d.axes_manager.as_dictionary()
-        for keyword in axes_dict.keys():
-            offset = np.float64(axes_dict[keyword]["offset"])
-            scale = np.float64(axes_dict[keyword]["scale"])
-            size = np.uint32(axes_dict[keyword]["size"])
-            unit = str(axes_dict[keyword]["units"])
-            if axes_dict[keyword]["name"] == "y":
-                self.meta["ypos"].value = np.asarray(
-                    np.linspace(0.0, np.float64(size) * scale, num=size, endpoint=True)
-                    + offset / 2.0,
-                    np.float64,
-                )
-                self.meta["ypos"].unit = unit
-                self.meta["ypos_long_name"].value = "y"
-            elif axes_dict[keyword]["name"] == "x":
-                self.meta["xpos"].value = np.asarray(
-                    np.linspace(0.0, np.float64(size) * scale, num=size, endpoint=True)
-                    + offset / 2.0,
-                    np.float64,
-                )
-                self.meta["xpos"].unit = unit
-                self.meta["xpos_long_name"].value = "x"
-            else:  # axes_dict[keyword]["name"] == "Energy loss":
-                self.meta["energy_loss"].value = np.asarray(
-                    np.linspace(0.0, np.float64(size) * scale, num=size, endpoint=True)
-                    + offset / 2.0,
-                    np.float64,
-                )
-                self.meta["energy_loss"].unit = unit
-                self.meta["energy_loss_long_name"].value = "Energy loss"
-
-
-class HspyRectRoiEelsSummarySpectrum:
-    """Represent/compute an accumulated EELS spectrum from hspy EELSSpectrum."""
-
-    def __init__(self, hspy_clss):
-        self.meta: Dict[str, NxObject] = {}
-        self.meta["program"] = NxObject(value="hyperspy")
-        self.meta["program_version"] = NxObject(value=hs.__version__)
-        self.meta["title"] = NxObject()
-        self.meta["long_name"] = NxObject()  # value="Counts")
-        self.meta["counts"] = NxObject()
-        self.meta["energy_loss"] = NxObject()
-        self.meta["energy_loss_long_name"] = NxObject()  # value="Energy loss")
-        self.is_valid = True
-
-        self.is_supported(hspy_clss)
-        self.parse(hspy_clss)
-
-    def is_supported(self, hspy_s3d):
-        """Check if the input has supported axes_manager and key metadata."""
-        assert (
-            hspy_s3d.metadata["Signal"]["signal_type"] == "EELS"
-        ), "hspy_s3d is not a valid EELS hyperspy instance !"
-        assert hspy_s3d.data.ndim == 3, "hspy_s3d is not a valid 3D dataset !"
-        axes_dict = hspy_s3d.axes_manager.as_dictionary()
-        required_axis_names = ["axis-0", "axis-1", "axis-2"]
-        for req_key in required_axis_names:
-            assert req_key in axes_dict.keys(), (
-                req_key + " is unexpectedly not registered in the axes_manager !"
-            )
-        required_keywords = ["_type", "name", "units", "size", "scale", "offset"]
-        avail_axis_names = []
-        for keyword in axes_dict.keys():
-            for req_key in required_keywords:  # check if all required keys exist
-                assert req_key in axes_dict[keyword].keys(), (
-                    "hspy_s3d axis " + keyword + " lacks " + req_key + " !"
-                )
-
-            assert axes_dict[keyword]["_type"] == "UniformDataAxis", (
-                keyword + ", this axis is not of type UniformDataAxis !"
-            )
-            avail_axis_names.append(axes_dict[keyword]["name"])
-
-        print(np.sort(avail_axis_names))
-        print(np.sort(["y", "x", "Energy loss"]))
-        axes_as_expected = np.all(
-            np.sort(avail_axis_names) == np.sort(["y", "x", "Energy loss"])
-        )
-        if axes_as_expected is False:
-            print(f"\tIn function {__name__} as expected")
-            self.is_valid = False
-
-    def parse(self, hspy_s3d):
-        """Summarize the spectra stack into a ROI summary spectrum."""
-        if self.is_valid is False:
-            pass
-        print(f"\tIn function {__name__}")
-        self.meta["long_name"].value = hspy_s3d.metadata["Signal"]["signal_type"]
-        self.meta["title"].value = hspy_s3d.metadata["Signal"]["signal_type"]
-        axes_dict = hspy_s3d.axes_manager.as_dictionary()
-        # ##MK::assume for now that hspy arranges the axes such that the
-        # Energy loss comes last, then we can iterate over
-        # ##MK::at least in the example of DM3 files I found that the
-        # EELSSpectrum.data array is float32 this should not be done
-        # inspecting np.unique(hspy_s1d.data[y,x, :]) reveals there is a
-        # cast from what was likely an uint(16?) to float32
-        # ##MK::for now cast them back to uint32 and accumulate
-        # instead it should be uint, so we have to be careful with not
-        shape = np.shape(hspy_s3d.data)
-        self.meta["counts"].value = np.zeros([shape[2]], np.uint32)
-        for y_pixel in np.arange(0, shape[0]):
-            for x_pixel in np.arange(1, shape[1]):
-                self.meta["counts"].value += np.asarray(
-                    hspy_s3d.data[y_pixel, x_pixel, :], np.uint32
-                )
-        # seems that hspy is adaptive, uses numpy under the hood
-        # though, so a hspy signal's .data member is already a proper numpy dtype
-        # therefore, an explicit call like this
-        # np.asarray(hspy_s1d.data, np.uint32) is not necessary
-        # ##MK::on the contrary the above-mentioned observed cast to float32
-        # means it might not be adaptive enough ??
-        for keyword in axes_dict.keys():
-            offset = np.float64(axes_dict[keyword]["offset"])
-            scale = np.float64(axes_dict[keyword]["scale"])
-            size = np.uint32(axes_dict[keyword]["size"])
-            unit = str(axes_dict[keyword]["units"])
-            if axes_dict[keyword]["name"] == "Energy loss":
-                self.meta["energy_loss"].value = np.asarray(
-                    np.linspace(0.0, np.float64(size) * scale, num=size, endpoint=True)
-                    + offset / 2.0,
-                    np.float64,
-                )
-                self.meta["energy_loss"].unit = unit
-                self.meta["energy_loss_long_name"].value = "Energy loss"
-
-
-class NxSpectrumSetEmEels:
-    """Representing a set of EELS spectra with metadata."""
-
-    def __init__(self, hspy_list):
-        self.stack_data = []  # the HspyRectRoiEelsAllSpectra
-        self.summary_data = []  # the HspyRectRoiEelsSummarySpectrum
-        self.is_valid = True
-
-        self.is_an_implemented_case(hspy_list)
-        self.parse_hspy_instances(hspy_list)
-
-    def is_an_implemented_case(self, hspy_list):
-        """Check if signal instances in a list is a supported combination."""
-        # an EELS measurement which this implementation supports consist of
-        # a rectangular ROI are currently supported, this ROI should have
-        # one SpectrumStack cnts = f(y, x, energy loss)
-        cardinality_stack = 0
-        for hspy_clss in hspy_list:
-            if isinstance(hspy_clss, hs.signals.EELSSpectrum) is True:
-                assert hspy_clss.data.ndim in [
-                    3
-                ], "Unexpectedly found unsupported-dimensional EELSSpectrum!"
-                if hspy_clss.data.ndim == 3:
-                    cardinality_stack += 1
-        if cardinality_stack != 1:
-            self.is_valid = False
-
-    def parse_hspy_instances(self, hspy_list):
-        """Extract from hspy class instances what NOMAD OASIS understands."""
-        if self.is_valid is False:
-            pass
-        print(f"\tIn function {__name__}")
-        for hspy_clss in hspy_list:
-            if isinstance(hspy_clss, hs.signals.EELSSpectrum) is True:
-                assert hspy_clss.data.ndim in [
-                    3
-                ], "Unexpectedly found unsupported-dimensional EELSSpectrum!"
-                if hspy_clss.data.ndim == 3:
-                    self.stack_data.append(HspyRectRoiEelsAllSpectra(hspy_clss))
-                    self.summary_data.append(HspyRectRoiEelsSummarySpectrum(hspy_clss))
-
-    def report(self, prefix: str, frame_id: int, ifo: dict, template: dict) -> dict:
-        """Enter data from the NX-specific representation into the template."""
-        if self.is_valid is False:
-            print(f"\t{__name__} reporting nothing!")
-            return template
-        print(f"\t{__name__} reporting...")
-        assert (len(self.stack_data) >= 0) and (
-            len(self.stack_data) <= 1
-        ), "More than one spectrum stack is currently not supported!"
-        assert (len(self.summary_data) >= 0) and (
-            len(self.summary_data) <= 1
-        ), "More than one sum spectrum stack is currently not supported!"
-
-        if len(self.stack_data) == 1:
-            trg = f"{prefix}eels/PROCESS[process1]/"
-            template[f"{trg}PROGRAM[program1]/program"] = "hyperspy"
-            template[f"{trg}PROGRAM[program1]/program/@version"] = hs.__version__
-            template[f"{trg}mode"] = "n/a"
-            template[f"{trg}detector_identifier"] = "n/a"
-            template[f"{trg}source"] = ifo["source_file_name"]
-            template[f"{trg}source/@version"] = ifo["source_file_version"]
-
-            trg = f"{prefix}eels/stack/"
-            template[f"{trg}title"] = "EELS spectra stack"
-            # template[f"{trg}@long_name"] = self.stack_data[0].meta["long_name"].value
-            template[f"{trg}@signal"] = "data_counts"
-            template[f"{trg}@axes"] = ["axis_y", "axis_x", "axis_energy_loss"]
-            template[f"{trg}@AXISNAME[axis_energy_loss_indices]"] = np.uint32(2)
-            template[f"{trg}@AXISNAME[axis_x_indices]"] = np.uint32(1)
-            template[f"{trg}@AXISNAME[axis_y_indices]"] = np.uint32(0)
-            template[f"{trg}DATA[data_counts]"] = {
-                "compress": self.stack_data[0].meta["counts"].value,
-                "strength": 1,
-            }
-            template[f"{trg}DATA[data_counts]/@units"] = ""
-            template[f"{trg}DATA[data_counts]/@long_name"] = "Signal (a.u.)"
-            template[f"{trg}AXISNAME[axis_energy_loss]"] = {
-                "compress": self.stack_data[0].meta["energy_loss"].value,
-                "strength": 1,
-            }
-            template[f"{trg}AXISNAME[axis_energy_loss]/@units"] = (
-                self.stack_data[0].meta["energy_loss"].unit
-            )
-            template[
-                f"{trg}AXISNAME[axis_energy_loss]/@long_name"
-            ] = f"Electron energy loss ({self.stack_data[0].meta['energy_loss'].unit})"
-            template[f"{trg}AXISNAME[axis_x]"] = {
-                "compress": self.stack_data[0].meta["xpos"].value,
-                "strength": 1,
-            }
-            template[f"{trg}AXISNAME[axis_x]/@units"] = (
-                self.stack_data[0].meta["xpos"].unit
-            )
-            template[
-                f"{trg}AXISNAME[axis_x]/@long_name"
-            ] = f"x ({self.stack_data[0].meta['xpos'].unit})"
-            template[f"{trg}AXISNAME[axis_y]"] = {
-                "compress": self.stack_data[0].meta["ypos"].value,
-                "strength": 1,
-            }
-            template[f"{trg}AXISNAME[axis_y]/@units"] = (
-                self.stack_data[0].meta["ypos"].unit
-            )
-            template[
-                f"{trg}AXISNAME[axis_y]/@long_name"
-            ] = f"y ({self.stack_data[0].meta['ypos'].unit})"
-
-        if len(self.summary_data) == 1:
-            trg = f"{prefix}eels/summary/"
-            template[f"{trg}title"] = "Accumulated EELS spectrum"
-            # template[f"{trg}@long_name"] = self.summary_data[0].meta["long_name"].value
-            template[f"{trg}@signal"] = "data_counts"
-            template[f"{trg}@axes"] = ["axis_energy_loss"]
-            template[f"{trg}@AXISNAME[axis_energy_loss_indices]"] = np.uint32(0)
-            template[f"{trg}DATA[data_counts]"] = {
-                "compress": self.summary_data[0].meta["counts"].value,
-                "strength": 1,
-            }
-            template[f"{trg}DATA[data_counts]/@long_name"] = "Signal (a.u.)"
-            template[f"{trg}AXISNAME[axis_energy_loss]"] = {
-                "compress": self.summary_data[0].meta["energy_loss"].value,
-                "strength": 1,
-            }
-            template[f"{trg}AXISNAME[axis_energy_loss]/@units"] = (
-                self.summary_data[0].meta["energy_loss"].unit
-            )
-            template[
-                f"{trg}AXISNAME[axis_energy_loss]/@long_name"
-            ] = f"Energy loss ({self.summary_data[0].meta['energy_loss'].unit})"
-
-        return template
diff --git a/pynxtools/dataconverter/readers/em_spctrscpy/utils/hspy/em_hspy_xray.py b/pynxtools/dataconverter/readers/em_spctrscpy/utils/hspy/em_hspy_xray.py
deleted file mode 100644
index 93b8ea065..000000000
--- a/pynxtools/dataconverter/readers/em_spctrscpy/utils/hspy/em_hspy_xray.py
+++ /dev/null
@@ -1,494 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Classes representing groups with NeXus-ish formatted data parsed from hspy."""
-
-# pylint: disable=no-member
-
-from typing import Dict
-
-import numpy as np
-
-import hyperspy.api as hs
-
-from pynxtools.dataconverter.readers.em_spctrscpy.utils.em_nexus_base_classes import (
-    NxObject,
-)
-
-
-class HspyRectRoiXrayAllSpectra:
-    """Representing a regular stack of X-ray spectra over a rectangular ROI."""
-
-    def __init__(self, hspy_clss):
-        self.meta: Dict[str, NxObject] = {}
-        self.meta["program"] = NxObject(value="hyperspy")
-        self.meta["program_version"] = NxObject(value=hs.__version__)
-        self.meta["title"] = NxObject()
-        self.meta["long_name"] = NxObject()
-        self.meta["counts"] = NxObject()
-        self.meta["xpos"] = NxObject()
-        self.meta["xpos_long_name"] = NxObject()
-        self.meta["ypos"] = NxObject()
-        self.meta["ypos_long_name"] = NxObject()
-        self.meta["photon_energy"] = NxObject()
-        self.meta["photon_energy_long_name"] = NxObject()
-        self.is_valid = True
-
-        self.is_supported(hspy_clss)
-        self.parse(hspy_clss)
-
-    def is_supported(self, hspy_s3d):
-        """Check if the input has supported axes_manager and key metadata."""
-        assert (
-            hspy_s3d.metadata["Signal"]["signal_type"] == "EDS_TEM"
-        ), "hspy_s3d is not a valid hyperspy generic instance !"
-        assert hspy_s3d.data.ndim == 3, "hspy_s3d is not a valid 3D dataset !"
-        axes_dict = hspy_s3d.axes_manager.as_dictionary()
-        required_axis_names = ["axis-0", "axis-1", "axis-2"]
-        for req_key in required_axis_names:
-            assert req_key in axes_dict.keys(), (
-                req_key + " is unexpectedly not registered in the axes_manager !"
-            )
-        required_keywords = ["_type", "name", "units", "size", "scale", "offset"]
-        avail_axis_names = []
-        for keyword in axes_dict.keys():
-            for req_key in required_keywords:  # check if all required keys exist
-                assert req_key in axes_dict[keyword].keys(), (
-                    "hspy_s3d axis " + keyword + " lacks " + req_key + " !"
-                )
-
-            assert axes_dict[keyword]["_type"] == "UniformDataAxis", (
-                keyword + ", this axis is not of type UniformDataAxis !"
-            )
-            avail_axis_names.append(axes_dict[keyword]["name"])
-
-        axes_as_expected_emd = np.all(
-            np.sort(avail_axis_names) == np.sort(["y", "x", "X-ray energy"])
-        )
-        axes_as_expected_bcf = np.all(
-            np.sort(avail_axis_names) == np.sort(["height", "width", "Energy"])
-        )
-        if (axes_as_expected_emd is False) and (axes_as_expected_bcf is True):
-            print(f"\tIn function {__name__} as expected")
-            self.is_valid = False
-
-    def parse(self, hspy_s3d):
-        """Parse a hyperspy Signal2D stack instance into an NX default plottable."""
-        if self.is_valid is False:
-            pass
-        print(f"\tIn function {__name__}")
-        self.meta["title"].value = hspy_s3d.metadata["General"]["title"]
-        # self.long_name.value = hspy_s3d.metadata["Signal"]["signal_type"]
-        self.meta["long_name"].value = hspy_s3d.metadata["General"]["title"]
-        self.meta["counts"].value = hspy_s3d.data  # hspy uses numpy and adapts ??
-        axes_dict = hspy_s3d.axes_manager.as_dictionary()
-        for keyword in axes_dict.keys():
-            offset = np.float64(axes_dict[keyword]["offset"])
-            scale = np.float64(axes_dict[keyword]["scale"])
-            size = np.uint32(axes_dict[keyword]["size"])
-            unit = str(axes_dict[keyword]["units"])
-
-            y_axis = (axes_dict[keyword]["name"] == "y") or (
-                axes_dict[keyword]["name"] == "height"
-            )
-            x_axis = (axes_dict[keyword]["name"] == "x") or (
-                axes_dict[keyword]["name"] == "width"
-            )
-            e_axis = (axes_dict[keyword]["name"] == "X-ray energy") or (
-                axes_dict[keyword]["name"] == "Energy"
-            )
-            if y_axis is True:
-                self.meta["ypos"].value = np.asarray(
-                    np.linspace(0.0, np.float64(size) * scale, num=size, endpoint=True)
-                    + offset / 2.0,
-                    np.float64,
-                )
-                self.meta["ypos"].unit = unit
-                self.meta["ypos_long_name"].value = "y"  # ##MK::name y always!
-            if x_axis is True:
-                self.meta["xpos"].value = np.asarray(
-                    np.linspace(0.0, np.float64(size) * scale, num=size, endpoint=True)
-                    + offset / 2.0,
-                    np.float64,
-                )
-                self.meta["xpos"].unit = unit
-                self.meta["xpos_long_name"].value = "x"  # ##MK::name x always!
-            if e_axis is True:
-                self.meta["photon_energy"].value = np.asarray(
-                    np.linspace(0.0, np.float64(size) * scale, num=size, endpoint=True)
-                    + offset / 2.0,
-                    np.float64,
-                )
-                self.meta["photon_energy"].unit = unit
-                self.meta["photon_energy_long_name"].value = "Energy"
-                # ##MK::name Energy always!
-
-
-class HspyRectRoiXraySummarySpectrum:
-    """Representing the accumulated X-ray spectrum over a rectangular ROI."""
-
-    def __init__(self, hspy_clss):
-        self.meta: Dict[str, NxObject] = {}
-        self.meta["program"] = NxObject(value="hyperspy")
-        self.meta["program_version"] = NxObject(value=hs.__version__)
-        self.meta["title"] = NxObject()
-        self.meta["long_name"] = NxObject()
-        self.meta["counts"] = NxObject()
-        self.meta["photon_energy"] = NxObject()
-        self.meta["photon_energy_long_name"] = NxObject()
-        self.is_valid = True
-
-        self.is_supported(hspy_clss)
-        self.parse(hspy_clss)
-
-    def is_supported(self, hspy_s1d):
-        """Check if the input has supported axes_manager and key metadata."""
-        assert (
-            hspy_s1d.metadata["Signal"]["signal_type"] == "EDS_TEM"
-        ), "hspy_s3d is not a valid hyperspy generic instance !"
-        assert hspy_s1d.data.ndim == 1, "hspy_s3d is not a valid 1D dataset !"
-        axes_dict = hspy_s1d.axes_manager.as_dictionary()
-        required_axis_names = ["axis-0"]
-        for req_key in required_axis_names:
-            assert req_key in axes_dict.keys(), (
-                req_key + " is unexpectedly not registered in the axes_manager !"
-            )
-        required_keywords = ["_type", "name", "units", "size", "scale", "offset"]
-        avail_axis_names = []
-        for keyword in axes_dict.keys():
-            for req_key in required_keywords:  # check if all required keys exist
-                assert req_key in axes_dict[keyword].keys(), (
-                    "hspy_s1d axis " + keyword + " lacks " + req_key + " !"
-                )
-
-            assert axes_dict[keyword]["_type"] == "UniformDataAxis", (
-                keyword + ", this axis is not of type UniformDataAxis !"
-            )
-            avail_axis_names.append(axes_dict[keyword]["name"])
-
-        axes_as_expected = np.all(np.sort(avail_axis_names) == np.sort(["Energy"]))
-        if axes_as_expected is False:
-            print(f"\tIn function {__name__} as expected")
-            self.is_valid = False
-
-    def parse(self, hspy_s1d):
-        """Parse a hyperspy Signal1D stack instance into an NX default plottable."""
-        if self.is_valid is False:
-            pass
-        print(f"\tIn function {__name__}")
-        self.meta["title"].value = hspy_s1d.metadata["General"]["title"]
-        # self.meta["long_name"].value = hspy_s1d.metadata["Signal"]["signal_type"]
-        self.meta["long_name"].value = hspy_s1d.metadata["General"]["title"]
-        self.meta["counts"].value = hspy_s1d.data
-        # ##MK::it seems that hspy is adaptive, uses numpy under the hood
-        # though, so the .data instance is already a proper numpy dtype
-        # therefore, an explicit call like this
-        # np.asarray(hspy_s1d.data, np.uint32) is not necessary
-        axes_dict = hspy_s1d.axes_manager.as_dictionary()
-        for keyword in axes_dict.keys():
-            offset = np.float64(axes_dict[keyword]["offset"])
-            scale = np.float64(axes_dict[keyword]["scale"])
-            size = np.uint32(axes_dict[keyword]["size"])
-            unit = str(axes_dict[keyword]["units"])
-            # if axes_dict[keyword]["name"] == "Energy":
-            self.meta["photon_energy"].value = np.asarray(
-                np.linspace(0.0, np.float64(size) * scale, num=size, endpoint=True)
-                + offset / 2.0,
-                np.float64,
-            )
-            self.meta["photon_energy"].unit = unit
-            self.meta["photon_energy_long_name"].value = "Energy"
-
-
-class HspyRectRoiXrayMap:
-    """Representing an X-ray composition map with metadata."""
-
-    def __init__(self, hspy_clss):
-        self.meta: Dict[str, NxObject] = {}
-        self.meta["program"] = NxObject(value="hyperspy")
-        self.meta["program_version"] = NxObject(value=hs.__version__)
-        self.meta["title"] = NxObject()
-        self.meta["long_name"] = NxObject()
-        self.meta["counts"] = NxObject()
-        self.meta["xpos"] = NxObject()
-        self.meta["xpos_long_name"] = NxObject()
-        self.meta["ypos"] = NxObject()
-        self.meta["ypos_long_name"] = NxObject()
-        self.is_valid = True
-
-        self.is_supported(hspy_clss)
-        self.parse(hspy_clss)
-
-    def is_supported(self, hspy_s2d):
-        """Check if the input has supported axes_manager and key metadata."""
-        assert (
-            hspy_s2d.metadata["Signal"]["signal_type"] == ""
-        ), "hspy_s2d is not a valid hyperspy generic instance !"
-        assert hspy_s2d.data.ndim == 2, "hspy_s2d is not a valid 2D dataset !"
-        axes_dict = hspy_s2d.axes_manager.as_dictionary()
-        required_axis_names = ["axis-0", "axis-1"]
-        for req_key in required_axis_names:
-            assert req_key in axes_dict.keys(), (
-                req_key + " is unexpectedly not registered in the axes_manager !"
-            )
-        required_keywords = ["_type", "name", "units", "size", "scale", "offset"]
-        avail_axis_names = []
-        for keyword in axes_dict.keys():
-            for req_key in required_keywords:  # check if all required keys exist
-                assert req_key in axes_dict[keyword].keys(), (
-                    "hspy_s2d axis " + keyword + " lacks " + req_key + " !"
-                )
-            assert axes_dict[keyword]["_type"] == "UniformDataAxis", (
-                keyword + ", this axis is not of type UniformDataAxis !"
-            )
-            avail_axis_names.append(axes_dict[keyword]["name"])
-
-        axes_as_expected = np.all(np.sort(avail_axis_names) == np.sort(["y", "x"]))
-        if axes_as_expected is False:
-            print(f"\tIn function {__name__} as expected")
-            self.is_valid = False
-
-    def parse(self, hspy_s2d):
-        """Parse a hyperspy Signal2D instance into an NX default plottable."""
-        if self.is_valid is False:
-            pass
-        print(f"\tIn function {__name__}")
-        self.meta["title"].value = hspy_s2d.metadata["General"]["title"]
-        # self.meta["long_name"].value = hspy_s2d.metadata["Signal"]["signal_type"]
-        self.meta["long_name"].value = hspy_s2d.metadata["General"]["title"]
-        self.meta["counts"].value = hspy_s2d.data  # hspy uses numpy and adapts ??
-        axes_dict = hspy_s2d.axes_manager.as_dictionary()
-        for keyword in axes_dict.keys():
-            offset = np.float64(axes_dict[keyword]["offset"])
-            scale = np.float64(axes_dict[keyword]["scale"])
-            size = np.uint32(axes_dict[keyword]["size"])
-            unit = str(axes_dict[keyword]["units"])
-            if axes_dict[keyword]["name"] == "y":
-                assert axes_dict[keyword]["_type"] == "UniformDataAxis", (
-                    keyword + ", this x axis is not of type UniformDataAxis !"
-                )
-                self.meta["ypos"].value = np.asarray(
-                    np.linspace(0.0, np.float64(size) * scale, num=size, endpoint=True)
-                    + offset / 2.0,
-                    np.float64,
-                )
-                self.meta["ypos"].unit = unit
-                self.meta["ypos_long_name"].value = "y"
-            else:  # axes_dict[keyword]["name"] == "x":
-                assert axes_dict[keyword]["_type"] == "UniformDataAxis", (
-                    keyword + ", this y axis is not of type UniformDataAxis !"
-                )
-                self.meta["xpos"].value = np.asarray(
-                    np.linspace(0.0, np.float64(size) * scale, num=size, endpoint=True)
-                    + offset / 2.0,
-                    np.float64,
-                )
-                self.meta["xpos"].unit = unit
-                self.meta["xpos_long_name"].value = "x"
-
-
-class NxSpectrumSetEmXray:
-    """Representing a set of X-ray spectra with metadata."""
-
-    def __init__(self, hspy_list):
-        self.stack_data = []  # the HspyRectRoiXrayAllSpectra
-        self.summary_data = []  # the HspyRectRoiXraySummarySpectrum
-        self.composition_map = {}  # instances of HspyRectRoiXrayMap
-        self.is_valid = True
-
-        self.is_an_implemented_case(hspy_list)
-        self.parse_hspy_instances(hspy_list)
-
-    def is_an_implemented_case(self, hspy_list):
-        """Check if signal instances in a list is a supported combination."""
-        # an Xray analysis which this implementation supports should consist of
-        # a rectangular ROI are currently supported, this ROI should have
-        # one HAADF overview image
-        # this HAADF image is read however by another, a NxImageSetAdf instance
-        # of the em parser!
-        # one SpectraStack cnts = f(y, x, energy)
-        # one accumulated "sum" spectra cnts = f(energy)
-        # an arbitrary number of single element X-ray maps cnts = f(y, x)
-        cardinality_stack = 0
-        cardinality_summary = 0
-        for hspy_clss in hspy_list:
-            if isinstance(hspy_clss, hs.signals.EDSTEMSpectrum) is True:
-                assert hspy_clss.data.ndim in [
-                    1,
-                    3,
-                ], "Unexpectedly found unsupported-dimensional EDSTEMSpectrum!"
-                if hspy_clss.data.ndim == 1:
-                    cardinality_summary += 1
-                elif hspy_clss.data.ndim == 3:
-                    cardinality_stack += 1
-                else:
-                    continue
-        if cardinality_stack != 1:  # stack needed or (cardinality_summary == 1)
-            self.is_valid = False
-
-    def parse_hspy_instances(self, hspy_list):
-        """Extract from hspy class instances what NOMAD OASIS understands."""
-        if self.is_valid is False:
-            pass
-        print(f"\tIn function {__name__}")
-        for hspy_clss in hspy_list:
-            if isinstance(hspy_clss, hs.signals.EDSTEMSpectrum) is True:
-                ndim = hspy_clss.data.ndim
-                if ndim == 1:
-                    self.summary_data.append(HspyRectRoiXraySummarySpectrum(hspy_clss))
-                elif ndim == 3:
-                    self.stack_data.append(HspyRectRoiXrayAllSpectra(hspy_clss))
-                else:
-                    continue
-            elif isinstance(hspy_clss, hs.signals.Signal2D) is True:
-                ndim = hspy_clss.data.ndim
-                if ndim == 2:
-                    title = hspy_clss.metadata["General"]["title"]
-                    if title != "HAADF":
-                        self.composition_map[title] = HspyRectRoiXrayMap(hspy_clss)
-            else:
-                continue
-
-    def report(self, prefix: str, frame_id: int, ifo: dict, template: dict) -> dict:
-        """Enter data from the NX-specific representation into the template."""
-        if self.is_valid is False:
-            print(f"\t{__name__} reporting nothing!")
-            return template
-        print(f"\t{__name__} reporting...")
-        assert (len(self.stack_data) >= 0) and (
-            len(self.stack_data) <= 1
-        ), "More than one spectrum stack is currently not supported!"
-        assert (len(self.summary_data) >= 0) and (
-            len(self.summary_data) <= 1
-        ), "More than one sum spectrum stack is currently not supported!"
-        # for keyword, obj in self.composition_map.items():
-        #     print(f"{keyword}, np.shape(obj.counts.value), {np.shape(obj.counts.value)}")
-
-        if len(self.stack_data) == 1:
-            trg = f"{prefix}xray/PROCESS[process1]/"
-            template[f"{trg}PROGRAM[program1]/program"] = "hyperspy"
-            template[f"{trg}PROGRAM[program1]/program/@version"] = hs.__version__
-            template[f"{trg}mode"] = "n/a"
-            template[f"{trg}detector_identifier"] = "n/a"
-            template[f"{trg}source"] = ifo["source_file_name"]
-            template[f"{trg}source/@version"] = ifo["source_file_version"]
-
-            # MISSING_DATA_MSG = "not in hspy metadata case specifically in original_metadata"
-            # ##MK::!!!!!
-            # ##MK::how to communicate that these data do not exist?
-            # template[trg + "adf_outer_half_angle"] = np.float64(0.)
-            # template[trg + "adf_outer_half_angle/@units"] = "rad"
-            # template[trg + "adf_inner_half_angle"] = np.float64(0.)
-            # template[trg + "adf_inner_half_angle/@units"] = "rad"
-
-            trg = f"{prefix}xray/stack/"
-            template[f"{trg}title"] = "Xray spectra stack"
-            # template[f"{trg}@long_name"] \
-            #     = self.stack_data[0].meta["long_name"].value
-            template[f"{trg}@signal"] = "data_counts"
-            template[f"{trg}@axes"] = ["axis_y", "axis_x", "axis_photon_energy"]
-            template[f"{trg}@AXISNAME_indices[axis_photon_energy_indices]"] = np.uint32(
-                2
-            )
-            template[f"{trg}@AXISNAME_indices[axis_x_indices]"] = np.uint32(1)
-            template[f"{trg}@AXISNAME_indices[axis_y_indices]"] = np.uint32(0)
-            template[f"{trg}DATA[data_counts]"] = {
-                "compress": self.stack_data[0].meta["counts"].value,
-                "strength": 1,
-            }
-            template[f"{trg}DATA[data_counts]/@long_name"] = "Photon counts (1)"
-            template[f"{trg}AXISNAME[axis_photon_energy]"] = {
-                "compress": self.stack_data[0].meta["photon_energy"].value,
-                "strength": 1,
-            }
-            template[f"{trg}AXISNAME[axis_photon_energy]/@units"] = (
-                self.stack_data[0].meta["photon_energy"].unit
-            )
-            template[
-                f"{trg}AXISNAME[axis_photon_energy]/@long_name"
-            ] = f"Photon energy ({self.stack_data[0].meta['photon_energy'].unit})"
-            template[f"{trg}AXISNAME[axis_x]"] = {
-                "compress": self.stack_data[0].meta["xpos"].value,
-                "strength": 1,
-            }
-            template[f"{trg}AXISNAME[axis_x]/@units"] = (
-                self.stack_data[0].meta["xpos"].unit
-            )
-            template[
-                f"{trg}AXISNAME[axis_x]/@long_name"
-            ] = f"x ({self.stack_data[0].meta['xpos'].unit})"
-            template[f"{trg}AXISNAME[axis_y]"] = {
-                "compress": self.stack_data[0].meta["ypos"].value,
-                "strength": 1,
-            }
-            template[f"{trg}AXISNAME[axis_y]/@units"] = (
-                self.stack_data[0].meta["ypos"].unit
-            )
-            template[
-                f"{trg}AXISNAME[axis_y]/@long_name"
-            ] = f"y ({self.stack_data[0].meta['ypos'].unit})"
-
-        if len(self.summary_data) == 1:
-            trg = f"{prefix}xray/summary/"
-            template[f"{trg}title"] = "Accumulated X-ray spectrum"
-            # template[f"{trg}@long_name"] = self.summary_data[0].meta["long_name"].value
-            template[f"{trg}@signal"] = "data_counts"
-            template[f"{trg}@axes"] = ["axis_photon_energy"]
-            template[f"{trg}@AXISNAME_indices[axis_photon_energy_indices]"] = np.uint32(
-                0
-            )
-            template[f"{trg}DATA[data_counts]"] = {
-                "compress": self.summary_data[0].meta["counts"].value,
-                "strength": 1,
-            }
-            template[f"{trg}DATA[data_counts]/@long_name"] = "Photon counts (1)"
-            template[f"{trg}AXISNAME[axis_photon_energy]"] = {
-                "compress": self.summary_data[0].meta["photon_energy"].value,
-                "strength": 1,
-            }
-            template[f"{trg}AXISNAME[axis_photon_energy]/@units"] = (
-                self.summary_data[0].meta["photon_energy"].unit
-            )
-            template[
-                f"{trg}AXISNAME[axis_photon_energy]/@long_name"
-            ] = f"Photon energy ({self.summary_data[0].meta['photon_energy'].unit})"
-
-        return template
-
-        # skip the composition maps for the search sprint
-        # for keyword, xray_map in self.composition_map.items():
-        #     prfx = f"{trg}PROCESS[indexing]/PROCESS[{keyword.lower()}]/summary/"
-        #     template[f"{prfx}title"] = f"X-ray mapping for {keyword}"
-        #     # = xray_map.meta["long_name"].value
-        #     # template[f"{prfx}@long_name"] = xray_map.meta["long_name"].value
-        #     template[f"{prfx}@signal"] = "data_counts"
-        #     template[f"{prfx}@axes"] = ["axis_y", "axis_x"]
-        #     template[f"{prfx}@AXISNAME[axis_x_indices]"] = np.uint32(1)
-        #     template[f"{prfx}@AXISNAME[axis_y_indices]"] = np.uint32(0)
-        #     template[f"{prfx}DATA[data_counts]"] \
-        #         = {"compress": xray_map.meta["counts"].value, "strength": 1}
-        #     template[f"{prfx}DATA[data_counts]/@long_name"] = "Counts (1)"
-        #     template[f"{prfx}AXISNAME[axis_x]"] \
-        #         = {"compress": xray_map.meta["xpos"].value, "strength": 1}
-        #     template[f"{prfx}AXISNAME[axis_x]/@units"] = xray_map.meta["xpos"].unit
-        #     template[f"{prfx}AXISNAME[axis_x]/@long_name"] \
-        #         = f"x ({xray_map.meta['xpos'].unit})"
-        #     template[f"{prfx}AXISNAME[axis_y]"] \
-        #         = {"compress": xray_map.meta["ypos"].value, "strength": 1}
-        #     template[f"{prfx}AXISNAME[axis_y]/@units"] = xray_map.meta["ypos"].unit
-        #     template[f"{prfx}AXISNAME[axis_y]/@long_name"] \
-        #         = f"y ({xray_map.meta['ypos'].unit})"
diff --git a/pynxtools/dataconverter/readers/em_spctrscpy/utils/oina/em_oina_xray.py b/pynxtools/dataconverter/readers/em_spctrscpy/utils/oina/em_oina_xray.py
deleted file mode 100644
index dad0827f0..000000000
--- a/pynxtools/dataconverter/readers/em_spctrscpy/utils/oina/em_oina_xray.py
+++ /dev/null
@@ -1,22 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Classes representing groups with NeXus-ish formatted data parsed from H5OINA."""
-
-# pylint: disable=no-member
-
-# place where to place code for loading Oxford Instrument H5OINA files
diff --git a/pyproject.toml b/pyproject.toml
index 6ce16a256..363e42bf4 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -32,13 +32,9 @@ dependencies = [
     "pandas>=1.3.2",
     "ase>=3.19.0",
     "flatdict>=4.0.1",
-    "hyperspy>=1.7.4",
     "gitpython>=3.1.24",
     "pytz>=2021.1",
-    "kikuchipy>=0.8.2",
-    "pyxem>=0.14.2",
     "zipfile37==0.1.3",
-    "nionswift>=0.16.8",
     "tzlocal<=4.3",
     "scipy>=1.7.1",
     "mergedeep",
@@ -70,7 +66,13 @@ dev = [
     "pre-commit",
 ]
 convert = [
-    "pynxtools[mpes,xps,apm,stm]",
+    "pynxtools[apm,em,mpes,xps,stm]",
+]
+apm = [
+    "pynxtools-apm",
+]
+em = [
+    "pynxtools-em",
 ]
 mpes = [
     "pynxtools-mpes",
@@ -78,14 +80,10 @@ mpes = [
 xps = [
     "pynxtools-xps",
 ]
-apm = [
-    "pynxtools-apm",
-]
 stm = [
     "pynxtools-stm",
 ]
 
-
 [project.scripts]
 read_nexus = "pynxtools.nexus.nexus:main"
 dataconverter = "pynxtools.dataconverter.convert:main_cli"
diff --git a/tests/data/dataconverter/readers/em_nion/README.md b/tests/data/dataconverter/readers/em_nion/README.md
deleted file mode 100644
index d554fa343..000000000
--- a/tests/data/dataconverter/readers/em_nion/README.md
+++ /dev/null
@@ -1,2 +0,0 @@
-This is a place for storing data for tests which verify the functionality of the em_spctrscpy reader.
-An example for how to use the em_spctrscpy reader is available in _pynxtools/examples/em_.
diff --git a/tests/data/dataconverter/readers/em_nion/nomad_oasis_eln_schema_for_nx_em/nxem.schema.archive.yaml b/tests/data/dataconverter/readers/em_nion/nomad_oasis_eln_schema_for_nx_em/nxem.schema.archive.yaml
deleted file mode 100644
index 71ed0ebcf..000000000
--- a/tests/data/dataconverter/readers/em_nion/nomad_oasis_eln_schema_for_nx_em/nxem.schema.archive.yaml
+++ /dev/null
@@ -1,503 +0,0 @@
-# group, field, and attribute names match to NXem, for further details
-# what each field should contain consult the respective docstring of the 
-# quantity in NXem
-definitions:
-  name: 'em'
-  # 'ELN/application definition schema for electron microscopy (EM) experiments.'
-  sections: # section definitions what were back in the old days msection base classes
-    ElectronMicroscopy: # the actual schema
-      base_sections:
-        - 'nomad.datamodel.metainfo.eln.NexusDataConverter'
-        - 'nomad.datamodel.data.EntryData'
-      m_annotations:
-        # Here you can set your default values for the reader and nxdl.
-        template: 
-          reader: em_nion
-          nxdl: NXem.nxdl
-        # Listing quantities in the hide component will not show them in the ELN.
-        # This would be useful to make the default values set in `template` fixed.
-        # Leave the hide key even if you want to pass an empty list like in this example.
-        eln: 
-          # hide: ['nxdl', 'reader']
-          hide: []
-      sub_sections:
-        entry:
-          section:
-            description: |
-              Generic details about an experiment.
-            m_annotations:
-              eln:
-                overview: true
-            quantities:
-              attr_version:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - 'nexus-fairmat-proposal successor of 9636feecb79bb32b828b1a9804269573256d7696'
-                description: Hashvalue of the NeXus application definition file
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-              definition:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - NXem
-                description: NeXus NXDL schema to which this file conforms
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-              experiment_identifier:
-                type: str
-                description: GUID of the experiment
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              experiment_description:
-                type: str
-                description: Free text details about the experiment
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              start_time:
-                type: Datetime
-                description: |
-                  ISO 8601 time code with local time zone offset to UTC
-                  when the microscope session started.
-                m_annotations:
-                  eln:
-                    component: DateTimeEditQuantity
-              end_time:
-                type: Datetime
-                description: |
-                  ISO 8601 time code with local time zone offset to UTC
-                  when the microscope session ended.
-                m_annotations:
-                  eln:
-                    component: DateTimeEditQuantity
-              program:
-                type: str
-                description: Name of the program used to create this file.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              program__attr_version:
-                type: str
-                description: Version plus build number, commit hash, or description of the program to support reproducibility.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              # experiment_documentation(NXnote):
-              # thumbnail(NXnote):
-              #   attr_type:
-              # inputfile:
-              #   type: str
-              #   description: not used
-              #   m_annotations:
-              #     eln:
-              #       component: FileEditQuantity
-        user:
-          repeats: true
-          section:
-            description: |
-              Contact information and eventually details of at least one person
-              involved in the taking of the microscope session.
-            m_annotations:
-              eln:
-            quantities:
-              name:
-                type: str
-                description: Given (first) name and surname.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              email:
-                type: str
-                description: Email address of the user at the point in time when the experiment was performed.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              affiliation:
-                type: str
-                description: Name of the affiliation of the user at the point in time when the experiment was performed.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              address:
-                type: str
-                description: Postal address of the affiliation.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              orcid:
-                type: str
-                description: Globally unique identifier of the user as offered by services like OrcID or ResearcherID.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              orcid_platform:
-                type: str
-                description: Name of the OrcID or ResearcherID where the account under orcid is registered.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              telephone_number:
-                type: str
-                description: (Business) (tele)phone number of the user at the point in time when the experiment was performed.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              role:
-                type: str
-                description: Which role does the user have in the place and at the point in time when the experiment was performed? Technician operating the microscope. Student, postdoc, principle investigator, guest are common examples.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              social_media_name:
-                type: str
-                description: Account name that is associated with the user in social media platforms.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              social_media_platform:
-                type: str
-                description: Name of the social media platform where the account under social_media_name is registered.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-        sample:
-          section:
-            description: |
-              Details about the sample and its immediate environment.
-            m_annotations:
-              eln:
-            quantities:
-              method:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - experiment
-                    - simulation
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-              name: 
-                type: str
-                description: |
-                  GUID which distinguishes the specimen from all others and especially 
-                  the predecessor/origin from where the specimen was cut.
-                  In cases where the specimen was e.g. site-specifically cut from
-                  samples or in cases of an instrument session during which multiple
-                  specimens are loaded, the name has to be descriptive enough to 
-                  resolve which specimen was taken. This field must not be used for an
-                  alias of the specimen. Instead, use short_title.
-                  
-                  In cases where multiple specimens have been loaded into the microscope
-                  the name has to identify the specific one, whose results are stored
-                  by this NXentry, because a single NXentry should be used only for
-                  the characterization of a single specimen.
-                  Details about the specimen preparation should be stored in the
-                  sample history.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              sample_history:
-                type: str
-                description: |
-                  Reference to the location of or a GUID providing as many details
-                  as possible of the material, its microstructure, and its
-                  thermo-chemo-mechanical processing/preparation history.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              preparation_date:
-                type: Datetime
-                description: |
-                  ISO 8601 time code with local time zone offset to UTC information when
-                  the measured specimen surface was last actively prepared before
-                  loading the sample into the microscope.
-                m_annotations:
-                  eln:
-                    component: DateTimeEditQuantity
-              short_title:
-                type: str
-                description: Possibility to give an abbreviation or alias of the specimen name field.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              # atom_types should be a list of strings
-              atom_types:
-                type: str
-                shape: ['*']
-                description: |
-                  Use Hill's system for listing elements of the periodic table which
-                  are inside or attached to the surface of the specimen and thus
-                  relevant from a scientific point of view.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              description:
-                type: str
-                description: |
-                  Discouraged free text field to be used in the case when properly
-                  designed records for the sample_history are not available.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              thickness:
-                type: np.float64
-                unit: meter
-                description: |
-                  (Measured) sample thickness. The information is recorded to qualify
-                  if the beam used was likely able to shine through the specimen.
-                m_annotations:
-                  eln:
-                    component: NumberEditQuantity
-                    defaultDisplayUnit: nanometer
-                    minValue: 0.0
-              # density:
-              #   type: np.float64
-              #   unit: g/cm^3  # how to do?
-              #   description: |
-              #     (Measured) density of the specimen. For multi-layered specimens
-              #     this field should only be used to describe the density of the excited volume.
-              #     For scanning electron microscopy the usage of this field is discouraged
-              #     and instead an instance of an NXinteraction_volume_em for individual
-              #     NXevent_data_em instances can provide a much better description of
-              #     the relevant details why one would otherwise ask to store the
-              #     density of the specimen.
-              #   m_annotations:
-              #     eln:
-              #       component: NumberEditQuantity
-              #       defaultDisplayUnit: g/cm^3
-              #       minValue: 0.0
-        em_lab:
-          section:
-            description: |
-              Metadata of the microscope and the lab in which it stands.
-            m_annotations:
-              eln:
-            quantities:
-              instrument_name:
-                type: str
-                description: Given name of the atom probe at the hosting institution.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              location:
-                type: str
-                description: Location of the lab or place where the instrument is installed. Using GEOREF is preferred.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-            sub_sections:
-              fabrication:
-                section:
-                  description: Details about the microscope fabrication.
-                  m_annotations:
-                    eln:
-                  quantities:
-                  # sub_sections:
-                    vendor:
-                      type: str
-                      description: Company name of the manufacturer.
-                      m_annotations:
-                        eln:
-                          component: StringEditQuantity
-                    model:
-                      type: str
-                      description: Version or model of the component named by the manufacturer.
-                      m_annotations:
-                        eln:
-                          component: StringEditQuantity
-                    identifier:
-                      type: str
-                      description: Ideally, (globally) unique persistent identifier, i.e. a serial number or hash identifier of the component.
-                      m_annotations:
-                        eln:
-                          component: StringEditQuantity
-                    capabilities:
-                      type: str
-                      description: Free-text list with eventually multiple terms of functionalities which the component offers.
-                      m_annotations:
-                        eln:
-                          component: StringEditQuantity
-              ebeam_column:
-                section:
-                  description: Components to form a controlled electron beam
-                  m_annotations:
-                    eln:
-                  # quantities:
-                  sub_sections:
-                    electron_source:
-                      section:
-                        description: The source which creates the electron beam
-                        m_annotations:
-                          eln:
-                        quantities:
-                          name:
-                            type: str
-                            description: Given name/alias
-                            m_annotations:
-                              eln:
-                                component: StringEditQuantity
-                          voltage:
-                            type: np.float64
-                            description: |
-                              Voltage relevant to compute the energy of the
-                              electrons immediately after they left the gun.
-                            unit: volt
-                            m_annotations:
-                              eln:
-                                component: NumberEditQuantity
-                                defaultDisplayUnit: kV
-                                minValue: 0.0
-                                maxValue: 1.1e6
-                          emitter_type:
-                            type:
-                              type_kind: Enum
-                              type_data:
-                                - thermionic
-                                - schottky
-                                - field_emission
-                            description: |
-                              Emitter type used to create the beam.
-                            m_annotations:
-                              eln:
-                                component: RadioEnumEditQuantity
-                          # emitter_material:
-                          #   type: str
-                          #   description: Material of which the emitter is build, e.g. the filament material.
-                          #   m_annotations:
-                          #     eln:
-                          #       component: StringEditQuantity
-                    aperture_em:
-                      repeats: true
-                      section:
-                        description: Used apertures.
-                        m_annotations:
-                          eln:
-                        quantities:
-                          name:
-                            type: str
-                            description: Given name/alias of the aperture.
-                            m_annotations:
-                              eln:
-                                component: StringEditQuantity
-                          value:
-                            type: np.float64
-                            description: Relevant value from the control software.
-                            m_annotations:
-                              eln:
-                                component: NumberEditQuantity
-                    # NXlens_em
-                    aberration_correction:
-                      section:
-                        description: Aberration corrector details.
-                        m_annotations:
-                          eln:
-                        quantities:
-                          applied:
-                            type: bool
-                            description: Was the corrector used?
-                            m_annotations:
-                              eln:
-                                component: BoolEditQuantity
-              # ibeam_column:
-              # ebeam_deflector:
-              # ibeam_deflector:
-              # stage_lab:
-              optical_system_em:
-                section:
-                  description: Qualifying the electron optical system
-                  m_annotations:
-                    eln:
-                  quantities:
-                    camera_length:
-                      type: np.float64
-                      unit: meter
-                      m_annotations:
-                        eln:
-                          component: NumberEditQuantity
-                          defaultDisplayUnit: m
-                          minValue: 0.0
-                    magnification:
-                      type: np.float64
-                      m_annotations:
-                        eln:
-                          component: NumberEditQuantity
-                          minValue: 1.0
-                    defocus:
-                      type: np.float64
-                      unit: meter
-                      m_annotations:
-                        eln:
-                          component: NumberEditQuantity
-                          defaultDisplayUnit: nm
-                    semi_convergence_angle:
-                      type: np.float64
-                      unit: radian
-                      m_annotations:
-                        eln:
-                          component: NumberEditQuantity
-                          defaultDisplayUnit: radian
-                    # field_of_view:
-                    #   type: np.float64
-                    #   unit: meter
-                    #   m_annotations:
-                    #     eln:
-                    #       component: NumberEditQuantity
-                    #       defaultDisplayUnit: nm
-                    working_distance:
-                      type: np.float64
-                      unit: meter
-                      m_annotations:
-                        eln:
-                          component: NumberEditQuantity
-                          defaultDisplayUnit: mm
-                    beam_current:
-                      type: np.float64
-                      unit: ampere
-                      m_annotations:
-                        eln:
-                           component: NumberEditQuantity
-                           defaultDisplayUnit: picoampere
-                           minValue: 0.0
-                    beam_current_description:
-                      type: str
-                      m_annotations:
-                        eln:
-                          component: StringEditQuantity
-              detector:
-                repeats: true
-                section:
-                  description: |
-                    Description of the type of detector.
-                  m_annotations:
-                    eln:
-                  quantities:
-                    local_name:
-                      type: str
-                      description: Instrument-specific alias/name
-                      m_annotations:
-                        eln:
-                          component: StringEditQuantity
-              # (NXpump)
-              stage_lab:
-                section:
-                  description: A stage lab which can hold, align, orient, and prepare a specimen.
-                  m_annotations:
-                    eln:
-                  quantities:
-                    name:
-                      type: str
-                      description: Given name/alias for the stage.
-                      m_annotations:
-                        eln:
-                          component: StringEditQuantity
-                    description:
-                      type: str
-                      description: Ideally, a (globally) unique persistent identifier, link, or text to a resource which gives further details.
-                      m_annotations:
-                        eln:
-                          component: StringEditQuantity
diff --git a/tests/data/dataconverter/readers/em_om/README.md b/tests/data/dataconverter/readers/em_om/README.md
deleted file mode 100644
index daf932238..000000000
--- a/tests/data/dataconverter/readers/em_om/README.md
+++ /dev/null
@@ -1,2 +0,0 @@
-This is a place for storing data for tests which verify the functionality of the em_om reader.
-An example for how to use the em_om reader is available in _pynxtools/examples/em_om_.
diff --git a/tests/data/dataconverter/readers/em_om/nomad_oasis_eln_schema_for_nx_em_ebsd/nxem_ebsd.schema.archive.yaml b/tests/data/dataconverter/readers/em_om/nomad_oasis_eln_schema_for_nx_em_ebsd/nxem_ebsd.schema.archive.yaml
deleted file mode 100644
index 449567df4..000000000
--- a/tests/data/dataconverter/readers/em_om/nomad_oasis_eln_schema_for_nx_em_ebsd/nxem_ebsd.schema.archive.yaml
+++ /dev/null
@@ -1,1105 +0,0 @@
-# https://kikuchipy.org/en/stable/tutorials/reference_frames.html#Reference-frames
-
-definitions:
-  name: 'em_om'
-  # 'ELN for collecting conventions relevant for interpreting orientation microscopy data.'
-  sections: # section definitions what were back in the old days msection base classes
-    ElectronBackscatterDiffraction: # the actual schema´
-      base_sections:
-        - 'nomad.datamodel.metainfo.eln.NexusDataConverter'
-        - 'nomad.datamodel.data.EntryData'
-      m_annotations:
-        # Here you can set your default values for the reader and nxdl.
-        template: 
-          reader: em_om
-          nxdl: NXem_ebsd.nxdl
-        # Listing quantities in the hide component will not show them in the ELN.
-        # This would be useful to make the default values set in `template` fixed.
-        # Leave the hide key even if you want to pass an empty list like in this example.
-        eln: 
-          # hide: ['nxdl', 'reader']
-          hide: []
-      sub_sections:
-        entry:
-          section:
-            description: |
-              Conventions and definitions which make orientation microscopy data interpretable.
-            m_annotations:
-              eln:
-                overview: true
-            quantities:
-              attr_version:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - 'nexus-fairmat-proposal successor of 9636feecb79bb32b828b1a9804269573256d7696'
-                description: Hashvalue of the NeXus application definition file
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-              definition:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - NXem_ebsd
-                description: NeXus NXDL schema to which this file conforms
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-              workflow_identifier:
-                type: str
-                description: GUID of the workflow
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              workflow_description:
-                type: str
-                description: |
-                  Free text details about this particular workflow.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              start_time:
-                type: Datetime
-                description: |
-                  ISO 8601 time code with local time zone offset to UTC
-                  when the experiment started.
-                m_annotations:
-                  eln:
-                    component: DateTimeEditQuantity
-              end_time:
-                type: Datetime
-                description: |
-                  ISO 8601 time code with local time zone offset to UTC
-                  when the experiment ended.
-                m_annotations:
-                  eln:
-                    component: DateTimeEditQuantity
-              program:
-                type: str
-                default: nexusutils/dataconverter/readers/em_om.py
-                description: |
-                  Name of the program used to parse this file.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              program__attr_version:
-                type: str
-                default: undefined
-                description: |
-                  Version plus build number, commit hash, or description
-                  of the program to support reproducibility.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-
-              # inputfile_reconstruction:
-              #   type: str
-              #   description: |
-              #     Place to drag-and-drop the file containing the result of the measurement.
-              #     This result has to be the tomographic reconstruction.
-              #     Accepted file formats are POS, ePOS, and APT (from APSuite).
-              #   m_annotations:
-              #     eln:
-              #       component: FileEditQuantity
-              # inputfile_range_file:
-              #   type: str
-              #   description: |
-              #     Place to drag-and-drop a file which contains the result of a ranging of
-              #     the mass-to-charge-state ratio values to assigned ion labels.
-              #     Accepted file formats are RNG, and RRNG.
-              #   m_annotations:
-              #     eln:
-              #       component: FileEditQuantity
-
-        user:
-          repeats: true
-          section:
-            description: |
-              Optional contact information and eventually details of at least
-              one person involved in performing the workflow. This can be the
-              principle investigator who implemented the workflow.
-              Adding multiple users if relevant is recommended.
-            m_annotations:
-              eln:
-            quantities:
-              name:
-                type: str
-                description: Given (first) name and surname.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              email:
-                type: str
-                description: Email address of the user at the point in time when the experiment was performed.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              affiliation:
-                type: str
-                description: Name of the affiliation of the user at the point in time when the experiment was performed.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              address:
-                type: str
-                description: Postal address of the affiliation.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              orcid:
-                type: str
-                description: Globally unique identifier of the user as offered by services like OrcID or ResearcherID.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              orcid_platform:
-                type: str
-                description: Name of the OrcID or ResearcherID where the account under orcid is registered.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              telephone_number:
-                type: str
-                description: (Business) (tele)phone number of the user at the point in time when the experiment was performed.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              role:
-                type: str
-                description: Which role does the user have in the place and at the point in time when the experiment was performed? Technician operating the microscope. Student, postdoc, principle investigator, guest are common examples.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              social_media_name:
-                type: str
-                description: Account name that is associated with the user in social media platforms.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              social_media_platform:
-                type: str
-                description: Name of the social media platform where the account under social_media_name is registered.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-
-        commercial_on_the_fly_indexing:
-          section:
-            description: |
-              An inspection of available EBSD datasets with an open-source
-              license stored on public archive services like Zenodo revealed,
-              inspected during the implementation of a generic parser for
-              EBSD data that such data are in most cases stored in two ways:
-              Case one is via a file in a format defined by technology partners.
-              Typically this file contains results of an on-the-fly executed indexing,
-              i.e. scan point positions, indexing solutions per scan point,
-              and some quality descriptors of the solutions,
-              as well as crystal structure and phase metadata.
-              Case two is pattern in some custom format sometimes supported
-              with custom metadata and descriptions of the individual fields
-              and data arrays most frequently just pointing to the publication.
-              
-              Therefore, we first need to collect how these on_the_fly indexed
-              results have been generated and in which file they ended up.
-              Ideally one would do so by creating a complete set of data
-              using e.g. NXem. This would allow reading all the above-mentioned
-              data directly from file referred to in the measurement group.
-              However, in most cases this is not available.
-              
-              Therefore, we store here key metadata about which results file
-              contain the EBSD mapping and which software was used (software name
-              and version with build number) to create it. These pieces of information
-              support the interpretation of specific metadata
-              in these results file which currently cannot be interpreted completely
-              or reliably conceptually.
-            m_annotations:
-              eln:
-            quantities:
-              program:
-                type: str
-                description: |
-                  Commercial program which was used to index the EBSD data
-                  incrementally after they have been captured and while the
-                  microscope was capturing. This is the usual production workflow
-                  how scanning electron microscopes are used when collecting
-                  EBSD data.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              program__attr_version:
-                type: str
-                description: |
-                  Program version plus build number, commit hash, or other description of an ever persistent resource where the source
-                  code of the program and build instructions can be found or at least more information about the program in this version can be found. If all such information is not available, like for commercial software, here the version number and build number should be written. Use semantic versioning if possible.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              results_file:
-                type: str
-                description: |
-                  Name of the results file.
-                m_annotations:
-                  eln:
-                    component: FileEditQuantity
-              # results_file__attr_version:
-              #   type: str
-              #   description: |
-              #     Hash of that file.
-              #   m_annotations:
-              #     eln:
-              #       component: StringEditQuantity
-
-        measurement:
-          # repeats: true
-          section:
-            description: |
-              Connection between the measurement of the Kikuchi pattern and
-              the processing of these into an orientation microscopy image.
-            m_annotations:
-              eln:
-            quantities:
-              origin:
-                type: str
-                description: |
-                  Name or link to an existent instance of an EBSD raw dataset
-                  inside an NXem which has at least one NXimage_set_em_kikuchi
-                  instance. The path to this instance in the origin has to be
-                  specified under path.
-                  
-                  When NXem is not used or the aim is to rather explore first
-                  how community specific files with EBSD data, such as ANG, CPR,
-                  or HDF5-based formats can be parsed from, inject here the name
-                  of that file.
-                  
-                  The em_om parser will currently not interpret the majority of
-                  the many system and technique-specific metadata which come
-                  with the files from e.g. technology partners. This is because
-                  the current culture in the field in the EBSD community is that
-                  many metadata fields are not in all cases fully documented.
-                  
-                  In addition, it is common practice in EBSD that users transcode
-                  their raw data files into other formats so that these data can be
-                  interpreted by specific software tools including commercial
-                  software from technology partners other than the one which
-                  delivered the system that was e.g. used when for collecting
-                  the raw data.
-                  As many of the file formats are not designed to communicate
-                  also these specifically and eventually differently contextualized
-                  metadata, we have opted for the first iteration of the implementation
-                  to discard these metadata. Currently, this is also not problematic
-                  as the file pointed to will be kept but as it uses information
-                  alien to most research data management systems certain data have
-                  to be extracted and transformed for the RDMS to serve them.
-                  
-                  Another reason for this choice was also to emphasize that in
-                  fact such challenges do exist in the community. Hence, pointing
-                  them out may support the discussion to arrive at eventually more
-                  complete solutions. As developing these solutions though should
-                  not be our own authority and necessarily demands feedback from
-                  technology partners and acceptance by the EBSD community we have
-                  opted for this intermediate approach.
-                m_annotations:
-                  eln:
-                    component: FileEditQuantity
-              # origin__attr_version:
-              #   type: str
-              #   description: |
-              #     Hash of the file referred to.
-              #   m_annotations:
-              #     eln:
-              #       component: StringEditQuantity
-              path:
-                type: str
-                description: |
-                  Path which resolves which specific NXimage_set_em_kikuchi instance
-                  was used as the raw data to this EBSD data (post)-processing workflow.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-
-        calibration:
-          # repeats: true
-          section:
-            description: |
-              The EBSD system, that is the electron gun, pole-piece, stage
-              tilting, and EBSD detector, as well as the gnomonic projection
-              have to be calibrated to achieve reliable results.
-              Here a connection can be made to inform about another measurement
-              during which these calibrations were made.
-            m_annotations:
-              eln:
-            quantities:
-              origin:
-                type: str
-                description: |
-                  Drag-and-drop a file which is ideally an instance of NXebsd with
-                  an associated instance of NXem detailed under measurement
-                  which informs about the calibration procedures.
-                  If such a file is not available the file can also remain empty
-                  but keep in mind then that it is unclear in which calibration
-                  state your microscope was used.
-                m_annotations:
-                  eln:
-                    component: FileEditQuantity
-              # origin__attr_version:
-              #   type: str
-              #   description: |
-              #     Hash of the file referred to.
-              #   m_annotations:
-              #     eln:
-              #       component: StringEditQuantity
-              path:
-                type: str
-                description: |
-                  Path which resolves which specific NXimage_set_em_kikuchi instance
-                  was used as the raw data to this EBSD data (post)-processing workflow
-                  when performing the calibration.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-        rotation_conventions:
-          section:
-            description: |
-              Mathematical conventions and materials-science-specific conventions
-              required for interpreting every collection of orientation data.
-            m_annotations:
-              eln:
-            quantities:
-              three_dimensional_rotation_handedness:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - undefined
-                    - counter_clockwise
-                    - clockwise
-                default: undefined
-                description: |
-                  Convention how a positive rotation angle is defined when viewing
-                  from the end of the rotation unit vector towards its origin,
-                  i.e. in accordance with convention 2 of DOI: 10.1088/0965-0393/23/8/083501.
-                  Counter_clockwise is equivalent to a right-handed choice.
-                  Clockwise is equivalent to a left-handed choice.
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-              rotation_convention:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - undefined
-                    - passive
-                    - active
-                default: undefined
-                description: |
-                  How are rotations interpreted into an orientation
-                  according to convention 3 of DOI: 10.1088/0965-0393/23/8/083501.
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-              euler_angle_convention:
-                type: str
-                default: undefined
-                description: |
-                  How are Euler angles interpreted given that there are several
-                  choices (e.g. ZXZ, XYZ, etc.) according to convention 4 of
-                  DOI: 10.1088/0965-0393/23/8/083501.
-                  The most frequently used convention is ZXZ which is based on
-                  the work of H.-J. Bunge but other conventions are possible.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              axis_angle_convention:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - undefined
-                    - rotation_angle_on_interval_zero_to_pi
-                default: undefined
-                description: |
-                  To which angular range is the rotation angle argument of an
-                  axis-angle pair parameterization constrained according to
-                  convention 5 of DOI: 10.1088/0965-0393/23/8/083501.
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-              sign_convention:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - undefined
-                    - p_plus_one
-                    - p_minus_one
-                default: undefined
-                description: |
-                  Which sign convention is followed when converting orientations
-                  between different parameterizations/representations according
-                  to convention 6 of DOI: 10.1088/0965-0393/23/8/083501.
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-
-        processing_reference_frame:
-          section:
-            description: |
-              Details about eventually relevant named directions that may
-              give reasons for anisotropies. The classical example is cold-rolling
-              where one has to specify which directions (rolling, transverse, and normal)
-              align how with the direction of the base vectors of the sample_reference_frame.
-            m_annotations:
-              eln:
-            quantities:
-              reference_frame_type:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - undefined
-                    - right_handed_cartesian
-                    - left_handed_cartesian
-                default: undefined
-                description: |
-                  Type of coordinate system and reference frame according to
-                  convention 1 of DOI: 10.1088/0965-0393/23/8/083501.
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-              xaxis_direction:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - undefined
-                    - north
-                    - east
-                    - south
-                    - west
-                    - in
-                    - out
-                default: undefined
-                description: |
-                  Direction of the positively pointing x-axis base vector of
-                  the processing_reference_frame. We assume the configuration
-                  is inspected by looking towards the sample surface from a position
-                  that is located behind the detector.
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-              xaxis_alias:
-                type: str
-                default: undefined
-                description: |
-                  Name or alias assigned to the x-axis base vector,
-                  e.g. rolling direction.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              yaxis_direction:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - undefined
-                    - north
-                    - east
-                    - south
-                    - west
-                    - in
-                    - out
-                default: undefined
-                description: |
-                  Direction of the positively pointing y-axis base vector of
-                  the processing_reference_frame. We assume the configuration
-                  is inspected by looking towards the sample surface from a position
-                  that is located behind the detector. For further information consult
-                  also the help info for the xaxis_direction field.
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-              yaxis_alias:
-                type: str
-                default: undefined
-                description: |
-                  Name or alias assigned to the y-axis base vector,
-                  e.g. transverse direction.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              zaxis_direction:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - undefined
-                    - north
-                    - east
-                    - south
-                    - west
-                    - in
-                    - out
-                default: undefined
-                description: |
-                  Direction of the positively pointing z-axis base vector of
-                  the processing_reference frame. We assume the configuration
-                  is inspected by looking towards the sample surface from a position
-                  that is located behind the detector. For further information consult
-                  also the help info for the xaxis_direction field.
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-              zaxis_alias:
-                type: str
-                default: undefined
-                description: |
-                  Name or alias assigned to the z-axis base vector,
-                  e.g. normal direction.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              origin:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - undefined
-                    - front_top_left
-                    - front_top_right
-                    - front_bottom_right
-                    - front_bottom_left
-                    - back_top_left
-                    - back_top_right
-                    - back_bottom_right
-                    - back_bottom_left
-                default: undefined
-                description: |
-                  Location of the origin of the sample surface reference frame.
-                  This specifies the location Xs = 0, Ys = 0, Zs = 0.
-                  Assume regions-of-interest in this reference frame form a
-                  rectangle or cuboid.
-                  Edges are interpreted by inspecting the direction of their
-                  outer unit normals (which point either parallel or antiparallel)
-                  along respective base vector direction of the reference frame.
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-
-        sample_reference_frame:
-          section:
-            description: |
-              Details about the sample/specimen (surface) reference frame.
-            m_annotations:
-              eln:
-            quantities:
-              reference_frame_type:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - undefined
-                    - right_handed_cartesian
-                    - left_handed_cartesian
-                default: undefined
-                description: |
-                  Type of coordinate system and reference frame according to
-                  convention 1 of DOI: 10.1088/0965-0393/23/8/083501.
-                  The reference frame for the sample surface reference is used for
-                  identifying positions on a (virtual) image which is formed by
-                  information collected from an electron beam scanning the
-                  sample surface. We assume the configuration is inspected by
-                  looking towards the sample surface from a position that is
-                  located behind the detector.
-                  Reference DOI: 10.1016/j.matchar.2016.04.008
-                  The sample surface reference frame has coordinates Xs, Ys, Zs.
-                  In three dimensions these coordinates are not necessarily
-                  located on the surface of the sample as there are multiple
-                  faces/sides of the sample. Most frequently though the coordinate
-                  system here is used to define the surface which the electron
-                  beam scans.
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-              xaxis_direction:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - undefined
-                    - north
-                    - east
-                    - south
-                    - west
-                    - in
-                    - out
-                default: undefined
-                description: |
-                  Direction of the positively pointing x-axis base vector of
-                  the sample surface reference frame. We assume the configuration
-                  is inspected by looking towards the sample surface from a position
-                  that is located behind the detector.
-                  Different tools assume that different strategies can be used
-                  and are perceived as differently convenient to enter
-                  details about coordinate system definitions. In this ELN users
-                  have to possibility to fill in what they assume is sufficient to
-                  define the coordinate system directions unambiguously.
-                  Software which works with this user input needs to offer parsing
-                  capabilities which detect conflicting input and warn accordingly.
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-              yaxis_direction:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - undefined
-                    - north
-                    - east
-                    - south
-                    - west
-                    - in
-                    - out
-                default: undefined
-                description: |
-                  Direction of the positively pointing y-axis base vector of
-                  the sample surface reference frame. We assume the configuration
-                  is inspected by looking towards the sample surface from a position
-                  that is located behind the detector.
-                  For further information consult also the help info for the
-                  xaxis_direction field.
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-              zaxis_direction:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - undefined
-                    - north
-                    - east
-                    - south
-                    - west
-                    - in
-                    - out
-                default: undefined
-                description: |
-                  Direction of the positively pointing z-axis base vector of
-                  the sample surface reference frame. We assume the configuration
-                  is inspected by looking towards the sample surface from a position
-                  that is located behind the detector.
-                  For further information consult also the help info for the
-                  xaxis_direction field.
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-              origin:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - undefined
-                    - front_top_left
-                    - front_top_right
-                    - front_bottom_right
-                    - front_bottom_left
-                    - back_top_left
-                    - back_top_right
-                    - back_bottom_right
-                    - back_bottom_left
-                default: undefined
-                description: |
-                  Location of the origin of the sample surface reference frame.
-                  This specifies the location Xs = 0, Ys = 0, Zs = 0.
-                  Assume regions-of-interest in this reference frame form a
-                  rectangle or cuboid.
-                  Edges are interpreted by inspecting the direction of their
-                  outer unit normals (which point either parallel or antiparallel)
-                  along respective base vector direction of the reference frame.
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-
-        detector_reference_frame:
-          section:
-            description: |
-              Details about the detector reference frame.
-            m_annotations:
-              eln:
-            quantities:
-              reference_frame_type:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - undefined
-                    - right_handed_cartesian
-                    - left_handed_cartesian
-                default: undefined
-                description: |
-                  Type of coordinate system/reference frame used for
-                  identifying positions in detector space Xd, Yd, Zd,
-                  according to DOI: 10.1016/j.matchar.2016.04.008.
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-              xaxis_direction:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - undefined
-                    - north
-                    - east
-                    - south
-                    - west
-                    - in
-                    - out
-                default: undefined
-                description: |
-                  Direction of the positively pointing x-axis base vector of
-                  the detector space reference frame. We assume the configuration
-                  is inspected by looking towards the sample surface from a
-                  position that is located behind the detector.
-                  Different tools assume that different strategies can be used
-                  and are perceived as differently convenient to enter
-                  details about coordinate system definitions. In this ELN users
-                  have to possibility to fill in what they assume is sufficient to
-                  define the coordinate system directions unambiguously.
-                  Software which works with this user input needs to offer parsing
-                  capabilities which detect conflicting input and warn accordingly.
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-              yaxis_direction:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - undefined
-                    - north
-                    - east
-                    - south
-                    - west
-                    - in
-                    - out
-                default: undefined
-                description: |
-                  Direction of the positively pointing y-axis base vector of
-                  the detector space reference frame. We assume the configuration
-                  is inspected by looking towards the sample surface from a
-                  position that is located behind the detector.
-                  For further information consult also the help info for the
-                  xaxis_direction field.
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-              zaxis_direction:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - undefined
-                    - north
-                    - east
-                    - south
-                    - west
-                    - in
-                    - out
-                default: undefined
-                description: |
-                  Direction of the positively pointing z-axis base vector of
-                  the detector space reference frame. We assume the configuration
-                  is inspected by looking towards the sample surface from a
-                  position that is located behind the detector.
-                  For further information consult also the help info for the
-                  xaxis_direction field.
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-              origin:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - undefined
-                    - front_top_left
-                    - front_top_right
-                    - front_bottom_right
-                    - front_bottom_left
-                    - back_top_left
-                    - back_top_right
-                    - back_bottom_right
-                    - back_bottom_left
-                default: undefined
-                description: |
-                  Where is the origin of the detector space reference
-                  frame located. This is the location of Xd = 0, Yd = 0, Zd = 0.
-                  Assume regions-of-interest in this reference frame form a
-                  rectangle or cuboid.
-                  Edges are interpreted by inspecting the direction of their
-                  outer unit normals (which point either parallel or antiparallel)
-                  along respective base vector direction of the reference frame.
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-
-        gnomonic_projection:
-          section:
-            description: |
-              Specific conventions for electron backscatter diffraction (EBSD) for
-              interpreting data and eventually applied post-processing tasks.
-            m_annotations:
-              eln:
-            quantities:
-              method:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - undefined
-                    - backscatter
-                    - other
-                default: backscatter
-                description: Which type of electron diffraction method used.
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-            sub_sections:
-              # useful for all diffraction techniques
-              # specific for EBSD
-              gnomonic_projection_reference_frame:
-                section:
-                  description: |
-                    Details about the gnomonic projection reference frame.
-                  m_annotations:
-                    eln:
-                  quantities:
-                    reference_frame_type:
-                      type:
-                        type_kind: Enum
-                        type_data:
-                          - undefined
-                          - right_handed_cartesian
-                          - left_handed_cartesian
-                      default: undefined
-                      description: |
-                        Type of coordinate system/reference frame used for
-                        identifying positions in the gnomonic projection space
-                        Xg, Yg, Zg.
-                        according to DOI: 10.1016/j.matchar.2016.04.008.
-                      m_annotations:
-                        eln:
-                          component: RadioEnumEditQuantity
-                    xaxis_direction:
-                      type:
-                        type_kind: Enum
-                        type_data:
-                          - undefined
-                          - north
-                          - east
-                          - south
-                          - west
-                          - in
-                          - out
-                      default: undefined
-                      description: |
-                        Direction of the positively pointing "gnomomic" x-axis base
-                        vector when viewing how the diffraction pattern looks on the
-                        detector screen. We assume the configuration is inspected by
-                        looking towards the sample surface from a position
-                        that is located behind the detector.
-                        Different tools assume that different strategies can be used
-                        and are perceived as differently convenient to enter
-                        details about coordinate system definitions. In this ELN users
-                        have to possibility to fill in what they assume is sufficient to
-                        define the coordinate system directions unambiguously.
-                        Software which works with this user input needs to offer parsing
-                        capabilities which detect conflicting input and warn accordingly.
-                      m_annotations:
-                        eln:
-                          component: RadioEnumEditQuantity
-                    yaxis_direction:
-                      type:
-                        type_kind: Enum
-                        type_data:
-                          - undefined
-                          - north
-                          - east
-                          - south
-                          - west
-                          - in
-                          - out
-                      default: undefined
-                      description: |
-                        Direction of the positively pointing "gnomomic" y-axis base
-                        vector when viewing how the diffraction pattern looks on the
-                        detector screen. We assume the configuration is inspected by
-                        looking towards the sample surface from a position
-                        that is located behind the detector.
-                        For further information consult also the help info for the
-                        xaxis_direction field.
-                      m_annotations:
-                        eln:
-                          component: RadioEnumEditQuantity
-                    zaxis_direction:
-                      type:
-                        type_kind: Enum
-                        type_data:
-                          - undefined
-                          - north
-                          - east
-                          - south
-                          - west
-                          - in
-                          - out
-                      default: undefined
-                      description: |
-                        Direction of the positively pointing "gnomomic" z-axis base
-                        vector when viewing how the diffraction pattern looks on the
-                        detector screen. We assume the configuration is inspected by
-                        looking towards the sample surface from a position
-                        that is located behind the detector.
-                        For further information consult also the help info for the
-                        xaxis_direction field.
-                      m_annotations:
-                        eln:
-                          component: RadioEnumEditQuantity
-                    origin:
-                      type:
-                        type_kind: Enum
-                        type_data:
-                          - undefined
-                          - in_the_pattern_centre
-                      # just stating in the pattern_centre is not necessarily sufficient
-                      default: undefined
-                      description: |
-                        Is the origin of the gnomonic coordinate system located
-                        where we assume the location of the pattern centre.
-                        This is the location Xg = 0, Yg = 0, Zg = 0 according to
-                        reference DOI: 10.1016/j.matchar.2016.04.008.
-                      m_annotations:
-                        eln:
-                          component: RadioEnumEditQuantity
-              pattern_centre:
-                section:
-                  description: |
-                    Details about the definition and location of the pattern centre
-                    which is a point in the gnomonic projection space Xg, Yg, Zg.
-                  m_annotations:
-                    eln:
-                  quantities:
-                    xaxis_boundary_convention:
-                      type:
-                        type_kind: Enum
-                        type_data:
-                          - undefined
-                          - top
-                          - right
-                          - bottom
-                          - left
-                      default: undefined
-                      description: |
-                        From which border of the EBSP (in the detector reference frame)
-                        is the pattern centre's x-position (PCx) measured?
-                        Keywords assume the region-of-interest is defined by
-                        a rectangle. We observe this rectangle and inspect the
-                        direction of the outer-unit normals to the edges of
-                        this rectangle.
-                      m_annotations:
-                        eln:
-                          component: RadioEnumEditQuantity
-                    xaxis_normalization_direction:
-                      type:
-                        type_kind: Enum
-                        type_data:
-                          - undefined
-                          - north
-                          - east
-                          - south
-                          - west
-                      default: undefined
-                      description: |
-                        In which direction are positive values for PCx measured from
-                        the specified boundary. Keep in mind that the gnomonic space
-                        is in virtually all cases embedded in the detector space.
-                        Specifically, the XgYg plane is defined such that it is
-                        embedded/laying inside the XdYd plane (of the detector
-                        reference frame).
-                        When the normalization direction is the same as e.g. the
-                        detector x-axis direction, we state that we effectively
-                        normalize in fractions of the width of the detector.
-                        The issue with terms like width and height is that these
-                        degenerate if the detector region-of-interest is square-shaped.
-                        This is why we should better avoid talking about width and height but programmatically state how we would measure distances practically with a ruler and how we then measure positive
-                        distances.
-                      m_annotations:
-                        eln:
-                          component: RadioEnumEditQuantity
-                    yaxis_boundary_convention:
-                      type:
-                        type_kind: Enum
-                        type_data:
-                          - undefined
-                          - top
-                          - right
-                          - bottom
-                          - left
-                      default: undefined
-                      description: |
-                        From which border of the EBSP (in the detector reference
-                        frame) is the pattern centre's y-position (PCy) measured?
-                        For further details inspect the help button of
-                        xaxis_boundary_convention.
-                      m_annotations:
-                        eln:
-                          component: RadioEnumEditQuantity
-                    yaxis_normalization_direction:
-                      type:
-                        type_kind: Enum
-                        type_data:
-                          - undefined
-                          - north
-                          - east
-                          - south
-                          - west
-                      default: undefined
-                      description: |
-                        In which direction are positive values for PCy measured from
-                        the specified boundary.
-                        For further details inspect the help button of
-                        xaxis_normalization_direction.
-                      m_annotations:
-                        eln:
-                          component: RadioEnumEditQuantity
-                    # pattern_centre_distance_convention:
-                    #   type:
-                    #     type_kind: Enum
-                    #     type_data:
-                    #       - undefined
-                    #       - Bruker
-                    #       - JEOL
-                    #       - FEI
-                    #       - Oxford
-                    #   description: |
-                    #     How is the third of the three pattern centre parameter values,
-                    #     the (distance) parameter DD, normalized. Which convention
-                    #     is followed. We are aware that specifying one of the options here
-                    #     also implicitly comes with conventions for some of the parameter
-                    #     requested in this ELN. For now we would rather like to ask
-                    #     the users though to be specific also to learn how such an ELN
-                    #     will be used in practice.
-                    #   m_annotations:
-                    #     eln:
-                    #       component: RadioEnumEditQuantity
-                    # Reference DOI: 10.1016/j.matchar.2016.04.008
-                    # Other packages describe the PC position starting from the bottom left
-                    # of the EBSP instead of the top left as used here. These packages may record
-                    # this with respect to a square/circular EBSP, illustrating that care must be
-                    # taken when using rectangular screens, as the aspect ratio of the EBSP is
-                    # important when converting pattern fractions into effective pixels or mm.
-        indexing:
-          section:
-            description: |
-              Details about the indexing algorithm(s) used.
-            m_annotations:
-              eln:
-            quantities:
-              method:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - undefined
-                    - hough_transform
-                    - dictionary
-                    - radon_transform
-                    - other
-                default: backscatter
-                description: |
-                  Principal algorithm used for indexing.
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
diff --git a/tests/data/dataconverter/readers/em_spctrscpy/README.md b/tests/data/dataconverter/readers/em_spctrscpy/README.md
deleted file mode 100644
index d554fa343..000000000
--- a/tests/data/dataconverter/readers/em_spctrscpy/README.md
+++ /dev/null
@@ -1,2 +0,0 @@
-This is a place for storing data for tests which verify the functionality of the em_spctrscpy reader.
-An example for how to use the em_spctrscpy reader is available in _pynxtools/examples/em_.
diff --git a/tests/data/dataconverter/readers/em_spctrscpy/nomad_oasis_eln_schema_for_nx_em/nxem.schema.archive.yaml b/tests/data/dataconverter/readers/em_spctrscpy/nomad_oasis_eln_schema_for_nx_em/nxem.schema.archive.yaml
deleted file mode 100644
index 5fc3a2fe4..000000000
--- a/tests/data/dataconverter/readers/em_spctrscpy/nomad_oasis_eln_schema_for_nx_em/nxem.schema.archive.yaml
+++ /dev/null
@@ -1,507 +0,0 @@
-# group, field, and attribute names match to NXem, for further details
-# what each field should contain consult the respective docstring of the 
-# quantity in NXem
-definitions:
-  name: 'em'
-  # 'ELN/application definition schema for electron microscopy (EM) experiments.'
-  sections: # section definitions what were back in the old days msection base classes
-    # Operator:
-    # Specimen:
-    ElectronMicroscopy: # the actual schema
-      # nomad.datamodel.metainfo.eln.NexusParser
-      base_sections:
-        - 'nomad.datamodel.metainfo.eln.NexusDataConverter'
-        - 'nomad.datamodel.data.EntryData'
-      # base_section: nomad.datamodel.data.EntryData
-      m_annotations:
-        # Here you can set your default values for the reader and nxdl.
-        template: 
-          reader: em_spctrscpy
-          nxdl: NXem.nxdl
-        # Listing quantities in the hide component will not show them in the ELN.
-        # This would be useful to make the default values set in `template` fixed.
-        # Leave the hide key even if you want to pass an empty list like in this example.
-        eln: 
-          # hide: ['nxdl', 'reader']
-          hide: []
-      sub_sections:
-        entry:
-          section:
-            description: |
-              Generic details about an experiment.
-            m_annotations:
-              eln:
-                overview: true
-            quantities:
-              attr_version:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - 'nexus-fairmat-proposal successor of 9636feecb79bb32b828b1a9804269573256d7696'
-                description: Hashvalue of the NeXus application definition file
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-              definition:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - NXem
-                description: NeXus NXDL schema to which this file conforms
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-              experiment_identifier:
-                type: str
-                description: GUID of the experiment
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              experiment_description:
-                type: str
-                description: Free text details about the experiment
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              start_time:
-                type: Datetime
-                description: |
-                  ISO 8601 time code with local time zone offset to UTC
-                  when the microscope session started.
-                m_annotations:
-                  eln:
-                    component: DateTimeEditQuantity
-              end_time:
-                type: Datetime
-                description: |
-                  ISO 8601 time code with local time zone offset to UTC
-                  when the microscope session ended.
-                m_annotations:
-                  eln:
-                    component: DateTimeEditQuantity
-              program:
-                type: str
-                description: Name of the program used to create this file.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              program__attr_version:
-                type: str
-                description: Version plus build number, commit hash, or description of the program to support reproducibility.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              # experiment_documentation(NXnote):
-              # thumbnail(NXnote):
-              #   attr_type:
-              # inputfile:
-              #   type: str
-              #   description: not used
-              #   m_annotations:
-              #     eln:
-              #       component: FileEditQuantity
-        user:
-          repeats: true
-          section:
-            description: |
-              Contact information and eventually details of at least one person
-              involved in the taking of the microscope session.
-            m_annotations:
-              eln:
-            quantities:
-              name:
-                type: str
-                description: Given (first) name and surname.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              email:
-                type: str
-                description: Email address of the user at the point in time when the experiment was performed.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              affiliation:
-                type: str
-                description: Name of the affiliation of the user at the point in time when the experiment was performed.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              address:
-                type: str
-                description: Postal address of the affiliation.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              orcid:
-                type: str
-                description: Globally unique identifier of the user as offered by services like OrcID or ResearcherID.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              orcid_platform:
-                type: str
-                description: Name of the OrcID or ResearcherID where the account under orcid is registered.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              telephone_number:
-                type: str
-                description: (Business) (tele)phone number of the user at the point in time when the experiment was performed.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              role:
-                type: str
-                description: Which role does the user have in the place and at the point in time when the experiment was performed? Technician operating the microscope. Student, postdoc, principle investigator, guest are common examples.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              social_media_name:
-                type: str
-                description: Account name that is associated with the user in social media platforms.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              social_media_platform:
-                type: str
-                description: Name of the social media platform where the account under social_media_name is registered.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-        sample:
-          section:
-            description: |
-              Details about the sample and its immediate environment.
-            m_annotations:
-              eln:
-            quantities:
-              method:
-                type:
-                  type_kind: Enum
-                  type_data:
-                    - experiment
-                    - simulation
-                m_annotations:
-                  eln:
-                    component: RadioEnumEditQuantity
-              name: 
-                type: str
-                description: |
-                  GUID which distinguishes the specimen from all others and especially 
-                  the predecessor/origin from where the specimen was cut.
-                  In cases where the specimen was e.g. site-specifically cut from
-                  samples or in cases of an instrument session during which multiple
-                  specimens are loaded, the name has to be descriptive enough to 
-                  resolve which specimen was taken. This field must not be used for an
-                  alias of the specimen. Instead, use short_title.
-                  
-                  In cases where multiple specimens have been loaded into the microscope
-                  the name has to identify the specific one, whose results are stored
-                  by this NXentry, because a single NXentry should be used only for
-                  the characterization of a single specimen.
-                  Details about the specimen preparation should be stored in the
-                  sample history.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              sample_history:
-                type: str
-                description: |
-                  Reference to the location of or a GUID providing as many details
-                  as possible of the material, its microstructure, and its
-                  thermo-chemo-mechanical processing/preparation history.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              preparation_date:
-                type: Datetime
-                description: |
-                  ISO 8601 time code with local time zone offset to UTC information when
-                  the measured specimen surface was last actively prepared before
-                  loading the sample into the microscope.
-                m_annotations:
-                  eln:
-                    component: DateTimeEditQuantity
-              short_title:
-                type: str
-                description: Possibility to give an abbreviation or alias of the specimen name field.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              # atom_types should be a list of strings
-              atom_types:
-                type: str
-                shape: ['*']
-                description: |
-                  Use Hill's system for listing elements of the periodic table which
-                  are inside or attached to the surface of the specimen and thus
-                  relevant from a scientific point of view.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              description:
-                type: str
-                description: |
-                  Discouraged free text field to be used in the case when properly
-                  designed records for the sample_history are not available.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              thickness:
-                type: np.float64
-                unit: meter
-                description: |
-                  (Measured) sample thickness. The information is recorded to qualify
-                  if the beam used was likely able to shine through the specimen.
-                m_annotations:
-                  eln:
-                    component: NumberEditQuantity
-                    defaultDisplayUnit: nanometer
-                    minValue: 0.0
-              # density:
-              #   type: np.float64
-              #   unit: g/cm^3  # how to do?
-              #   description: |
-              #     (Measured) density of the specimen. For multi-layered specimens
-              #     this field should only be used to describe the density of the excited volume.
-              #     For scanning electron microscopy the usage of this field is discouraged
-              #     and instead an instance of an NXinteraction_volume_em for individual
-              #     NXevent_data_em instances can provide a much better description of
-              #     the relevant details why one would otherwise ask to store the
-              #     density of the specimen.
-              #   m_annotations:
-              #     eln:
-              #       component: NumberEditQuantity
-              #       defaultDisplayUnit: g/cm^3
-              #       minValue: 0.0
-        em_lab:
-          section:
-            description: |
-              Metadata of the microscope and the lab in which it stands.
-            m_annotations:
-              eln:
-            quantities:
-              instrument_name:
-                type: str
-                description: Given name of the atom probe at the hosting institution.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-              location:
-                type: str
-                description: Location of the lab or place where the instrument is installed. Using GEOREF is preferred.
-                m_annotations:
-                  eln:
-                    component: StringEditQuantity
-            sub_sections:
-              fabrication:
-                section:
-                  description: Details about the microscope fabrication.
-                  m_annotations:
-                    eln:
-                  quantities:
-                  # sub_sections:
-                    vendor:
-                      type: str
-                      description: Company name of the manufacturer.
-                      m_annotations:
-                        eln:
-                          component: StringEditQuantity
-                    model:
-                      type: str
-                      description: Version or model of the component named by the manufacturer.
-                      m_annotations:
-                        eln:
-                          component: StringEditQuantity
-                    identifier:
-                      type: str
-                      description: Ideally, (globally) unique persistent identifier, i.e. a serial number or hash identifier of the component.
-                      m_annotations:
-                        eln:
-                          component: StringEditQuantity
-                    capabilities:
-                      type: str
-                      description: Free-text list with eventually multiple terms of functionalities which the component offers.
-                      m_annotations:
-                        eln:
-                          component: StringEditQuantity
-              ebeam_column:
-                section:
-                  description: Components to form a controlled electron beam
-                  m_annotations:
-                    eln:
-                  # quantities:
-                  sub_sections:
-                    electron_source:
-                      section:
-                        description: The source which creates the electron beam
-                        m_annotations:
-                          eln:
-                        quantities:
-                          name:
-                            type: str
-                            description: Given name/alias
-                            m_annotations:
-                              eln:
-                                component: StringEditQuantity
-                          voltage:
-                            type: np.float64
-                            description: |
-                              Voltage relevant to compute the energy of the
-                              electrons immediately after they left the gun.
-                            unit: volt
-                            m_annotations:
-                              eln:
-                                component: NumberEditQuantity
-                                defaultDisplayUnit: kV
-                                minValue: 0.0
-                                maxValue: 1.1e6
-                          emitter_type:
-                            type:
-                              type_kind: Enum
-                              type_data:
-                                - thermionic
-                                - schottky
-                                - field_emission
-                            description: |
-                              Emitter type used to create the beam.
-                            m_annotations:
-                              eln:
-                                component: RadioEnumEditQuantity
-                          # emitter_material:
-                          #   type: str
-                          #   description: Material of which the emitter is build, e.g. the filament material.
-                          #   m_annotations:
-                          #     eln:
-                          #       component: StringEditQuantity
-                    aperture_em:
-                      repeats: true
-                      section:
-                        description: Used apertures.
-                        m_annotations:
-                          eln:
-                        quantities:
-                          name:
-                            type: str
-                            description: Given name/alias of the aperture.
-                            m_annotations:
-                              eln:
-                                component: StringEditQuantity
-                          value:
-                            type: np.float64
-                            description: Relevant value from the control software.
-                            m_annotations:
-                              eln:
-                                component: NumberEditQuantity
-                    # NXlens_em
-                    aberration_correction:
-                      section:
-                        description: Aberration corrector details.
-                        m_annotations:
-                          eln:
-                        quantities:
-                          applied:
-                            type: bool
-                            description: Was the corrector used?
-                            m_annotations:
-                              eln:
-                                component: BoolEditQuantity
-              # ibeam_column:
-              # ebeam_deflector:
-              # ibeam_deflector:
-              # stage_lab:
-              optical_system_em:
-                section:
-                  description: Qualifying the electron optical system
-                  m_annotations:
-                    eln:
-                  quantities:
-                    camera_length:
-                      type: np.float64
-                      unit: meter
-                      m_annotations:
-                        eln:
-                          component: NumberEditQuantity
-                          defaultDisplayUnit: m
-                          minValue: 0.0
-                    magnification:
-                      type: np.float64
-                      m_annotations:
-                        eln:
-                          component: NumberEditQuantity
-                          minValue: 1.0
-                    defocus:
-                      type: np.float64
-                      unit: meter
-                      m_annotations:
-                        eln:
-                          component: NumberEditQuantity
-                          defaultDisplayUnit: nm
-                    semi_convergence_angle:
-                      type: np.float64
-                      unit: radian
-                      m_annotations:
-                        eln:
-                          component: NumberEditQuantity
-                          defaultDisplayUnit: radian
-                    # field_of_view:
-                    #   type: np.float64
-                    #   unit: meter
-                    #   m_annotations:
-                    #     eln:
-                    #       component: NumberEditQuantity
-                    #       defaultDisplayUnit: nm
-                    working_distance:
-                      type: np.float64
-                      unit: meter
-                      m_annotations:
-                        eln:
-                          component: NumberEditQuantity
-                          defaultDisplayUnit: mm
-                    beam_current:
-                      type: np.float64
-                      unit: ampere
-                      m_annotations:
-                        eln:
-                           component: NumberEditQuantity
-                           defaultDisplayUnit: picoampere
-                           minValue: 0.0
-                    beam_current_description:
-                      type: str
-                      m_annotations:
-                        eln:
-                          component: StringEditQuantity
-              detector:
-                repeats: true
-                section:
-                  description: |
-                    Description of the type of detector.
-                  m_annotations:
-                    eln:
-                  quantities:
-                    local_name:
-                      type: str
-                      description: Instrument-specific alias/name
-                      m_annotations:
-                        eln:
-                          component: StringEditQuantity
-              # (NXpump)
-              stage_lab:
-                section:
-                  description: A stage lab which can hold, align, orient, and prepare a specimen.
-                  m_annotations:
-                    eln:
-                  quantities:
-                    name:
-                      type: str
-                      description: Given name/alias for the stage.
-                      m_annotations:
-                        eln:
-                          component: StringEditQuantity
-                    description:
-                      type: str
-                      description: Ideally, a (globally) unique persistent identifier, link, or text to a resource which gives further details.
-                      m_annotations:
-                        eln:
-                          component: StringEditQuantity

From 7085e0ecfae5d1b051ffc59562452216eb3e004d Mon Sep 17 00:00:00 2001
From: mkuehbach <markus.kuehbach@physik.hu-berlin.de>
Date: Tue, 19 Mar 2024 10:02:10 +0100
Subject: [PATCH 28/58] Removed further unused dependencies as mentioned by
 @domna

---
 dev-requirements.txt | 22 ++--------------------
 pyproject.toml       |  5 -----
 2 files changed, 2 insertions(+), 25 deletions(-)

diff --git a/dev-requirements.txt b/dev-requirements.txt
index 485b31252..9908d66cf 100644
--- a/dev-requirements.txt
+++ b/dev-requirements.txt
@@ -40,16 +40,10 @@ exceptiongroup==1.2.0
     # via pytest
 filelock==3.13.1
     # via virtualenv
-flatdict==4.0.1
-    # via pynxtools (pyproject.toml)
 fonttools==4.45.1
     # via matplotlib
 ghp-import==2.1.0
     # via mkdocs
-gitdb==4.0.11
-    # via gitpython
-gitpython==3.1.40
-    # via pynxtools (pyproject.toml)
 h5py==3.10.0
     # via pynxtools (pyproject.toml)
 identify==2.5.33
@@ -165,8 +159,6 @@ pytz==2023.3.post1
     # via
     #   pandas
     #   pynxtools (pyproject.toml)
-pytz-deprecation-shim==0.1.0.post0
-    # via tzlocal
 pyyaml==6.0.1
     # via
     #   mkdocs
@@ -184,13 +176,9 @@ requests==2.31.0
 ruff==0.1.7
     # via pynxtools (pyproject.toml)
 scipy==1.9.1
-    # via
-    #   ase
-    #   pynxtools (pyproject.toml)
+    # via ase
 six==1.16.0
     # via python-dateutil
-smmap==5.0.1
-    # via gitdb
 structlog==23.2.0
     # via pynxtools (pyproject.toml)
 termcolor==2.4.0
@@ -212,11 +200,7 @@ types-requests==2.31.0.10
 typing-extensions==4.8.0
     # via mypy
 tzdata==2023.3
-    # via
-    #   pandas
-    #   pytz-deprecation-shim
-tzlocal==4.3
-    # via pynxtools (pyproject.toml)
+    # via pandas
 urllib3==2.1.0
     # via
     #   requests
@@ -229,8 +213,6 @@ wheel==0.42.0
     # via pip-tools
 xarray==2023.1.0
     # via pynxtools (pyproject.toml)
-zipfile37==0.1.3
-    # via pynxtools (pyproject.toml)
 zipp==3.17.0
     # via importlib-metadata
 
diff --git a/pyproject.toml b/pyproject.toml
index 363e42bf4..b49502781 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -31,12 +31,7 @@ dependencies = [
     "numpy>=1.21.2",
     "pandas>=1.3.2",
     "ase>=3.19.0",
-    "flatdict>=4.0.1",
-    "gitpython>=3.1.24",
     "pytz>=2021.1",
-    "zipfile37==0.1.3",
-    "tzlocal<=4.3",
-    "scipy>=1.7.1",
     "mergedeep",
     "importlib-metadata",
 ]

From c3e038b4097b8be12190b9eb7230ac82918be39d Mon Sep 17 00:00:00 2001
From: mkuehbach <markus.kuehbach@physik.hu-berlin.de>
Date: Tue, 19 Mar 2024 10:22:20 +0100
Subject: [PATCH 29/58] Removed obsolete reader shared

---
 .../dataconverter/readers/shared/__init__.py  |   0
 .../shared/map_concepts/mapping_functors.py   | 122 ------------------
 .../readers/shared/shared_utils.py            |  87 -------------
 3 files changed, 209 deletions(-)
 delete mode 100644 pynxtools/dataconverter/readers/shared/__init__.py
 delete mode 100644 pynxtools/dataconverter/readers/shared/map_concepts/mapping_functors.py
 delete mode 100644 pynxtools/dataconverter/readers/shared/shared_utils.py

diff --git a/pynxtools/dataconverter/readers/shared/__init__.py b/pynxtools/dataconverter/readers/shared/__init__.py
deleted file mode 100644
index e69de29bb..000000000
diff --git a/pynxtools/dataconverter/readers/shared/map_concepts/mapping_functors.py b/pynxtools/dataconverter/readers/shared/map_concepts/mapping_functors.py
deleted file mode 100644
index ca09fb5f2..000000000
--- a/pynxtools/dataconverter/readers/shared/map_concepts/mapping_functors.py
+++ /dev/null
@@ -1,122 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Utilities for working with NeXus concepts encoded as Python dicts in the concepts dir."""
-
-# pylint: disable=no-member
-
-import pytz
-
-from datetime import datetime
-
-
-def load_from_modifier(terms, fd_dct):
-    """Implement modifier which reads values of different type from fd_dct."""
-    if isinstance(terms, str):
-        if terms in fd_dct.keys():
-            return fd_dct[terms]
-    if all(isinstance(entry, str) for entry in terms) is True:
-        if isinstance(terms, list):
-            lst = []
-            for entry in terms:
-                lst.append(fd_dct[entry])
-            return lst
-    return None
-
-
-def convert_iso8601_modifier(terms, dct: dict):
-    """Implement modifier which transforms nionswift time stamps to proper UTC ISO8601."""
-    if terms is not None:
-        if isinstance(terms, str):
-            if terms in dct.keys():
-                return None
-        elif (
-            (isinstance(terms, list))
-            and (len(terms) == 2)
-            and (all(isinstance(entry, str) for entry in terms) is True)
-        ):
-            # assume the first argument is a local time
-            # assume the second argument is a timezone string
-            if terms[0] in dct.keys() and terms[1] in dct.keys():
-                # handle the case that these times can be arbitrarily formatted
-                # for now we let ourselves be guided
-                # by how time stamps are returned in Christoph Koch's
-                # nionswift instances also formatting-wise
-                date_time_str = dct[terms[0]].replace("T", " ")
-                time_zone_str = dct[terms[1]]
-                if time_zone_str in pytz.all_timezones:
-                    date_time_obj = datetime.strptime(
-                        date_time_str, "%Y-%m-%d %H:%M:%S.%f"
-                    )
-                    utc_time_zone_aware = pytz.timezone(time_zone_str).localize(
-                        date_time_obj
-                    )
-                    return utc_time_zone_aware
-                else:
-                    raise ValueError("Invalid timezone string!")
-                return None
-        else:
-            return None
-    return None
-
-
-def apply_modifier(modifier, dct: dict):
-    """Interpret a functional mapping using data from dct via calling modifiers."""
-    if isinstance(modifier, dict):
-        # different commands are available
-        if set(["fun", "terms"]) == set(modifier.keys()):
-            if modifier["fun"] == "load_from":
-                return load_from_modifier(modifier["terms"], dct)
-            if modifier["fun"] == "convert_iso8601":
-                return convert_iso8601_modifier(modifier["terms"], dct)
-        elif set(["link"]) == set(modifier.keys()):
-            # CURRENTLY NOT IMPLEMENTED
-            # with the jsonmap reader Sherjeel conceptualized "link"
-            return None
-        else:
-            return None
-    if isinstance(modifier, str):
-        return modifier
-    return None
-
-
-# examples/tests how to use modifiers
-# modd = "µs"
-# modd = {"link": "some_link_to_somewhere"}
-# modd = {"fun": "load_from", "terms": "metadata/scan/scan_device_properties/mag_boards/MagBoard 1 DAC 11"}
-# modd = {"fun": "load_from", "terms": ["metadata/scan/scan_device_properties/mag_boards/MagBoard 1 DAC 11",
-#     "metadata/scan/scan_device_properties/mag_boards/MagBoard 1 Relay"]}
-# modd = {"fun": "convert_iso8601", "terms": ["data_modified", "timezone"]}
-# print(apply_modifier(modd, yml))
-
-
-def variadic_path_to_specific_path(path: str, instance_identifier: list):
-    """Transforms a variadic path to an actual path with instances."""
-    if (path is not None) and (path != ""):
-        narguments = path.count("*")
-        if narguments == 0:  # path is not variadic
-            return path
-        if len(instance_identifier) >= narguments:
-            tmp = path.split("*")
-            if len(tmp) == narguments + 1:
-                nx_specific_path = ""
-                for idx in range(0, narguments):
-                    nx_specific_path += f"{tmp[idx]}{instance_identifier[idx]}"
-                    idx += 1
-                nx_specific_path += f"{tmp[-1]}"
-                return nx_specific_path
-    return None
diff --git a/pynxtools/dataconverter/readers/shared/shared_utils.py b/pynxtools/dataconverter/readers/shared/shared_utils.py
deleted file mode 100644
index 71d7af03c..000000000
--- a/pynxtools/dataconverter/readers/shared/shared_utils.py
+++ /dev/null
@@ -1,87 +0,0 @@
-#!/usr/bin/env python3
-"""Functionalities shared across different parsers."""
-
-# -*- coding: utf-8 -*-
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-
-# pylint: disable=E1101, R0801
-
-# import git
-
-
-def get_repo_last_commit() -> str:
-    """Identify the last commit to the repository."""
-    # repo = git.Repo(search_parent_directories=True)
-    # sha = str(repo.head.object.hexsha)
-    # if sha != "":
-    #    return sha
-    # currently update-north-markus branch on nomad-FAIR does not pick up
-    # git even though git in the base image and gitpython in pynxtools deps
-    return "unknown git commit id or unable to parse git reverse head"
-
-
-class NxObject:  # pylint: disable=R0903
-    """An object in a graph e.g. a field or group in NeXus."""
-
-    def __init__(
-        self, name: str = None, unit: str = None, dtype=str, value=None, **kwargs
-    ):
-        if name is not None:
-            assert name != "", "Argument name needs to be a non-empty string !"
-        if unit is not None:
-            assert unit != "", "Argument unit needs to be a non-empty string !"
-        assert dtype is not None, "Argument dtype must not be None !"
-        if dtype is not None:
-            assert isinstance(
-                dtype, type
-            ), "Argument dtype needs a valid, ideally numpy, datatype !"
-        # ##MK::if value is not None:
-        self.is_a = "NXobject"
-        self.is_attr = False  # if True indicates object is attribute
-        self.doc = ""  # docstring
-        self.name = name  # name of the field
-        self.unit = unit  # not unit category but actual unit
-        # use special values "unitless" for NX_UNITLESS (e.g. 1) and
-        # "dimensionless" for NX_DIMENSIONLESS (e.g. 1m / 1m)
-        self.dtype = dtype  # use np.dtype if possible
-        if value is None or dtype is str:
-            self.unit = "unitless"
-        if value is not None:
-            self.value = value
-        else:
-            self.value = None
-        # value should be a numpy scalar, tensor, or string if possible
-        if "is_attr" in kwargs:
-            assert isinstance(
-                kwargs["is_attr"], bool
-            ), "Kwarg is_attr needs to be a boolean !"
-            self.is_attr = kwargs["is_attr"]
-
-    def print(self):
-        """Report values."""
-        print("name: ")
-        print(str(self.name))
-        print("unit:")
-        print(str(self.unit))
-        print("dtype: ")
-        print(self.dtype)
-
-
-# test = NxObject(name="test", unit="baud", dtype=np.uint32, value=32000)
-# test.print()

From def3731b88876c042378b7472a42ecc74195bef2 Mon Sep 17 00:00:00 2001
From: Florian Dobener <florian.dobener@physik.hu-berlin.de>
Date: Tue, 19 Mar 2024 23:38:05 +0100
Subject: [PATCH 30/58] Removes transmission and hall readers (#285)

* Removes transmission and hall readers

* Remove hall in tests

* Remove pytz
---
 dev-requirements.txt                          |    4 +-
 .../dataconverter/readers/hall/README.md      |    4 -
 .../dataconverter/readers/hall/__init__.py    |    0
 .../dataconverter/readers/hall/enum_map.json  |  180 ---
 .../dataconverter/readers/hall/helpers.py     |  311 ----
 .../dataconverter/readers/hall/reader.py      |  224 ---
 .../readers/transmission/README.md            |    4 -
 .../readers/transmission/__init__.py          |    0
 .../readers/transmission/metadata_parsers.py  |   69 -
 .../readers/transmission/reader.py            |  256 ----
 pyproject.toml                                |    1 -
 .../readers/transmission/KTF-9_1_A.asc        | 1246 -----------------
 .../readers/transmission/KTF-9_1_A.sp         |  Bin 11050 -> 0 bytes
 .../readers/transmission/metadata.json        |    8 -
 tests/dataconverter/test_convert.py           |   20 -
 tests/dataconverter/test_readers.py           |    3 +
 16 files changed, 4 insertions(+), 2326 deletions(-)
 delete mode 100644 pynxtools/dataconverter/readers/hall/README.md
 delete mode 100644 pynxtools/dataconverter/readers/hall/__init__.py
 delete mode 100644 pynxtools/dataconverter/readers/hall/enum_map.json
 delete mode 100644 pynxtools/dataconverter/readers/hall/helpers.py
 delete mode 100644 pynxtools/dataconverter/readers/hall/reader.py
 delete mode 100644 pynxtools/dataconverter/readers/transmission/README.md
 delete mode 100644 pynxtools/dataconverter/readers/transmission/__init__.py
 delete mode 100644 pynxtools/dataconverter/readers/transmission/metadata_parsers.py
 delete mode 100644 pynxtools/dataconverter/readers/transmission/reader.py
 delete mode 100644 tests/data/dataconverter/readers/transmission/KTF-9_1_A.asc
 delete mode 100644 tests/data/dataconverter/readers/transmission/KTF-9_1_A.sp
 delete mode 100644 tests/data/dataconverter/readers/transmission/metadata.json

diff --git a/dev-requirements.txt b/dev-requirements.txt
index 9908d66cf..abf2ec541 100644
--- a/dev-requirements.txt
+++ b/dev-requirements.txt
@@ -156,9 +156,7 @@ python-dateutil==2.8.2
     #   mkdocs-macros-plugin
     #   pandas
 pytz==2023.3.post1
-    # via
-    #   pandas
-    #   pynxtools (pyproject.toml)
+    # via pandas
 pyyaml==6.0.1
     # via
     #   mkdocs
diff --git a/pynxtools/dataconverter/readers/hall/README.md b/pynxtools/dataconverter/readers/hall/README.md
deleted file mode 100644
index 4c39ca3a0..000000000
--- a/pynxtools/dataconverter/readers/hall/README.md
+++ /dev/null
@@ -1,4 +0,0 @@
-# hall reader
-
-## Contact person in FAIRmat for this reader
-Florian Dobner
\ No newline at end of file
diff --git a/pynxtools/dataconverter/readers/hall/__init__.py b/pynxtools/dataconverter/readers/hall/__init__.py
deleted file mode 100644
index e69de29bb..000000000
diff --git a/pynxtools/dataconverter/readers/hall/enum_map.json b/pynxtools/dataconverter/readers/hall/enum_map.json
deleted file mode 100644
index 05c4898f9..000000000
--- a/pynxtools/dataconverter/readers/hall/enum_map.json
+++ /dev/null
@@ -1,180 +0,0 @@
-{
-    "Measurement State Machine": {
-        "System Model": {
-            "0": "75XX-LVWR(-HS)",
-            "1": "75XX-LVWR-SWT(-HS), 77XX-LVWR",
-            "2": "75XX-HVWR(-HS), 77XX-HVWR",
-            "3": "76XX",
-            "4": "95XX-LVWR(-HS)",
-            "5": "95XX-LVWR-SWT(-HS), 97XX-LVWR",
-            "6": "95XX-HVWR(-HS), 97XX-HVWR",
-            "7": "77XXA",
-            "8": "97XXA"
-        },
-        "Wiring": {
-            "0": "van der Pauw",
-            "1": "Hall Bar"
-        },
-        "ElectroMeter": {
-            "0": "Keithley 6512",
-            "1": "Keithley 6514"
-        },
-        "VoltMeter": {
-            "0": "Keithley 2000",
-            "1": "Keithley 2182",
-            "2": "Keithley 182"
-        },
-        "CurrentMeter": {
-            "0": "Keithley 6485",
-            "1": "Keithley 485/6/7"
-        },
-        "Current Source": {
-            "0": "Keithley 220",
-            "1": "Keithley 6220"
-        },
-        "AC Hall type": {
-            "0": "AC Current only",
-            "1": "AC Field and Current"
-        }
-    },
-    "Keithley 182": {
-        "Integration Time": {
-            "0": "1 line cycle",
-            "1": "3 ms",
-            "2": "100 ms"
-        },
-        "Digital Filter": {
-            "0": "Off",
-            "1": "Fast",
-            "2": "Medium",
-            "3": "Slow"
-        }
-    },
-    "Keithley 2000": {
-        "Reading Rate": {
-            "0": "Slow",
-            "1": "Medium",
-            "2": "Fast"
-        },
-        "Digital Filter Type": {
-            "0": "Repeat",
-            "1": "Moving"
-        }
-    },
-    "Keithley 2182": {
-        "Reading_Rate": {
-            "0": "Slow",
-            "1": "Medium",
-            "2": "Fast"
-        },
-        "Digital_Filter_Type": {
-            "0": "Repeat",
-            "1": "Moving"
-        },
-        "Digital Filter Window": {
-            "0": "0",
-            "1": "0.01",
-            "2": "0.1",
-            "3": "1",
-            "4": "10"
-        }
-    },
-    "Keithley 2700": {
-        "Reading Rate": {
-            "0": "Slow",
-            "1": "Medium",
-            "2": "Fast"
-        },
-        "Resting State": {
-            "0": "closed",
-            "1": "open"
-        },
-        "Digital Filter Type": {
-            "0": "Repeat",
-            "1": "Moving"
-        },
-        "Digital Filter Window": {
-            "0": "0",
-            "1": "0.01",
-            "2": "0.1",
-            "3": "1",
-            "4": "10"
-        }
-    },
-    "Keithley 6485": {
-        "Reading Rate": {
-            "0": "Slow",
-            "1": "Medium",
-            "2": "Fast"
-        },
-        "Digital Filter Type": {
-            "0": "Repeat",
-            "1": "Moving"
-        }
-    },
-    "Keithley 7001": {
-        "Resting State": {
-            "0": "Closed",
-            "1": "Open"
-        }
-    },
-    "Field Controller": {
-        "Gaussmeter": {
-            "0": "LS450",
-            "1": "LS475",
-            "2": "LS736"
-        },
-        "Power Supply": {
-            "0": "642,643, or 662 (Max. 70 Amp)",
-            "1": "665 (Max. 100 Amp)",
-            "2": "648 or 668 (Max. 135 Amp)",
-            "3": "647 (Max. 72 Amp Must be controlled via EXT input terminal)"
-        },
-        "LS450 Display Unit": {
-            "0": "Gauss",
-            "1": "Tesla"
-        }
-    },
-    "Temperature Controller": {
-        "Sample Sensor Type": {
-            "0": "Silicon diode",
-            "1": "GaAlAs diode",
-            "2": "Platinum 100/200",
-            "3": "Platinum 100/500",
-            "4": "Platinum 1000",
-            "5": "Rhodium Iron",
-            "6": "Carbon-glass",
-            "7": "Cernox",
-            "8": "RuOx",
-            "9": "Germanium",
-            "10": "Thermocouple"
-        }
-    },
-    "Temperature Domain": {
-        "Direction": {
-            "0": "Both",
-            "1": "Ascending",
-            "2": "Descending"
-        },
-        "Heater Range": {
-            "0": "Heater off",
-            "1": "4.9 mW",
-            "2": "49 mW",
-            "3": "490 mW",
-            "4": "4.9 W",
-            "5": "49.0W"
-        },
-        "Sample Space Evacuation Valve During Ramp": {
-            "0": "Open",
-            "1": "Closed"
-        },
-        "Sample Space Evacuation Valve After Ramp": {
-            "0": "Open",
-            "1": "Closed"
-        },
-        "Loop 2 Heater": {
-            "0": "off",
-            "1": "on"
-        }
-    }
-}
\ No newline at end of file
diff --git a/pynxtools/dataconverter/readers/hall/helpers.py b/pynxtools/dataconverter/readers/hall/helpers.py
deleted file mode 100644
index 9ae646a11..000000000
--- a/pynxtools/dataconverter/readers/hall/helpers.py
+++ /dev/null
@@ -1,311 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Helper functions for reading sections from Lake Shore files"""
-from typing import Tuple, Union, Dict, Any
-import re
-from datetime import datetime
-import numpy as np
-import pandas as pd
-import pytz
-
-
-def is_section(expr: str) -> bool:
-    """Checks whether an expression follows the form of a section
-    i.e. is of the form [section]
-
-    Args:
-        expr (str): The current expression to check
-
-    Returns:
-        bool: Returns true if the expr is of the form of a section
-    """
-    return bool(re.search(r"^\[.+\]$", expr))
-
-
-def is_measurement(expr):
-    """Checks whether an expression follows the form of a measurement indicator
-    i.e. is of the form <measurement>
-
-    Args:
-        expr (str): The current expression to check
-
-    Returns:
-        bool: Returns true if the expr is of the form of a measurement indicator
-    """
-    return bool(re.search(r"^\<.+\>$", expr))
-
-
-def is_key(expr: str) -> bool:
-    """Checks whether an expression follows the form of a key value pair
-    i.e. is of the form key: value or key = value
-
-    Args:
-        expr (str): The current expression to check
-
-    Returns:
-        bool: Returns true if the expr is of the form of a key value pair
-    """
-    return bool(re.search(r"^.+\s*[:|=]\s*.+$", expr))
-
-
-def is_meas_header(expr: str) -> bool:
-    """Checks whether an expression follows the form of a measurement header,
-    i.e. starts with: Word [Unit]
-
-    Args:
-        expr (str): The current expression to check
-
-    Returns:
-        bool: Returns true if the expr is of the form of a measurement header
-    """
-    return bool(re.search(r"^[^\]]+\[[^\]]+\]", expr))
-
-
-def is_value_with_unit(expr: str) -> bool:
-    """Checks whether an expression is a value with a unit,
-    i.e. is of the form value [unit].
-
-    Args:
-        expr (str): The expression to check
-
-    Returns:
-        bool: Returns true if the expr is a value with unit
-    """
-    return bool(re.search(r"^.+\s\[.+\]$", expr))
-
-
-def is_integer(expr: str) -> bool:
-    """Checks whether an expression is an integer number,
-    i.e. 3, +3 or -3. Also supports numbers in the form of 003.
-
-    Args:
-        expr (str): The expression to check
-
-    Returns:
-        bool: Returns true if the expr is an integer number
-    """
-    return bool(re.search(r"^[+-]?\d+$", expr))
-
-
-def is_number(expr: str) -> bool:
-    """Checks whether an expression is a number,
-    i.e. is of the form 0.3, 3, 1e-3, 1E5 etc.
-
-    Args:
-        expr (str): The expression to check
-
-    Returns:
-        bool: Returns true if the expr is a number
-    """
-    return bool(
-        re.search(r"^[+-]?(\d+([.]\d*)?([eE][+-]?\d+)?|[.]\d+([eE][+-]?\d+)?)$", expr)
-    )
-
-
-def is_boolean(expr: str) -> bool:
-    """Checks whether an expression is a boolean,
-    i.e. is equal to True or False (upper or lower case).
-
-    Args:
-        expr (str): The expression to check.
-
-    Returns:
-        bool: Returns true if the expr is a boolean
-    """
-    return bool(re.search(r"True|False|true|false|On|Off|Yes|No", expr))
-
-
-def to_bool(expr: str) -> bool:
-    """Converts boolean representations in strings to python booleans.
-
-    Args:
-        expr (str): The string to convert to boolean.
-
-    Returns:
-        bool: The boolean value.
-    """
-    replacements = {
-        "On": True,
-        "Off": False,
-        "Yes": True,
-        "No": False,
-        "True": True,
-        "False": False,
-        "true": True,
-        "false": False,
-    }
-
-    return replacements.get(expr)
-
-
-def split_str_with_unit(expr: str, lower: bool = True) -> Tuple[str, str]:
-    """Splits an expression into a string and a unit.
-    The input expression should be of the form value [unit] as
-    is checked with is_value_with_unit function.
-
-    Args:
-        expr (str): The expression to split
-        lower (bool, optional):
-            If True the value is converted to lower case. Defaults to True.
-
-    Returns:
-        Tuple[str, str]: A tuple of a value unit pair.
-    """
-    value = re.split(r"\s+\[.+\]", expr)[0]
-    unit = re.search(r"(?<=\[).+?(?=\])", expr)[0]
-
-    if lower:
-        return value.lower(), unit
-    return value, unit
-
-
-def split_value_with_unit(expr: str) -> Tuple[Union[float, str], str]:
-    """Splits an expression into a string or float and a unit.
-    The input expression should be of the form value [unit] as
-    is checked with is_value_with_unit function.
-    The value is automatically converted to a float if it is a number.
-
-    Args:
-        expr (str): The expression to split
-
-    Returns:
-        Tuple[Union[float, str], str]: A tuple of a value unit pair.
-    """
-    value, unit = split_str_with_unit(expr, False)
-
-    if is_number(value):
-        return float(value), unit
-
-    return value, unit
-
-
-def clean(unit: str) -> str:
-    """Cleans an unit string, e.g. converts `VS` to `volt * seconds`.
-    If the unit is not in the conversion dict the input string is
-    returned without modification.
-
-    Args:
-        unit (str): The dirty unit string.
-
-    Returns:
-        str: The cleaned unit string.
-    """
-    conversions = {
-        "VS": "volt * second",
-        "Sec": "s",
-        "²": "^2",
-        "³": "^3",
-        "ohm cm": "ohm * cm",
-    }
-
-    for old, new in conversions.items():
-        unit = unit.replace(old, new)
-
-    return unit
-
-
-def get_unique_dkey(dic: dict, dkey: str) -> str:
-    """Checks whether a data key is already contained in a dictionary
-    and returns a unique key if it is not.
-
-    Args:
-        dic (dict): The dictionary to check for keys
-        dkey (str): The data key which shall be written.
-
-    Returns:
-        str: A unique data key. If a key already exists it is appended with a number
-    """
-    suffix = 0
-    while f"{dkey}{suffix}" in dic:
-        suffix += 1
-
-    return f"{dkey}{suffix}"
-
-
-def pandas_df_to_template(prefix: str, data: pd.DataFrame) -> Dict[str, Any]:
-    """Converts a dataframe to a NXdata entry template.
-
-    Args:
-        prefix (str): The path prefix to write the data into. Without a trailing slash.
-        df (pd.DataFrame): The dataframe which should be converted.
-
-    Returns:
-        Dict[str, Any]: The dict containing the data and metainfo.
-    """
-    if prefix.endswith("/"):
-        prefix = prefix[:-1]
-
-    template: Dict[str, Any] = {}
-    template[f"{prefix}/@NX_class"] = "NXdata"
-
-    def write_data(header: str, attr: str, data: np.ndarray) -> None:
-        if header is None:
-            print("Warning: Trying to write dataframe without a header. Skipping.")
-            return
-
-        if is_value_with_unit(header):
-            name, unit = split_str_with_unit(header)
-            template[f"{prefix}/{name}/@units"] = clean(unit)
-        else:
-            name = header.lower()
-
-        if attr == "@auxiliary_signals":
-            if f"{prefix}/{attr}" in template:
-                template[f"{prefix}/{attr}"].append(name)
-            else:
-                template[f"{prefix}/{attr}"] = [name]
-        else:
-            template[f"{prefix}/{attr}"] = name
-        template[f"{prefix}/{name}"] = data
-
-    if data.index.name is None:
-        data = data.set_index(data.columns[0])
-
-    # Drop last line if it has an errornous zero temperature
-    if data.index.values[-1] == 0:
-        data = data.iloc[:-1]
-
-    write_data(data.index.name, "@axes", data.index.values)
-    write_data(data.columns[0], "@signal", data.iloc[:, 0].values)
-
-    for column in data.columns[1:]:
-        write_data(column, "@auxiliary_signals", data[column].values)
-
-    return template
-
-
-def convert_date(datestr: str, timezone: str = "Europe/Berlin") -> str:
-    """Converts a hall date formated string to isoformat string.
-
-    Args:
-        datestr (str): The hall date string
-        timezone (str): The timezone of the hall date string. Defaults to "Europe/Berlin"
-
-    Returns:
-        str: The iso formatted string.
-    """
-
-    try:
-        return (
-            datetime.strptime(datestr, r"%m/%d/%y %H%M%S")
-            .astimezone(pytz.timezone(timezone))
-            .isoformat()
-        )
-    except ValueError:
-        print("Warning: datestring does not conform to date format. Skipping.")
-        return datestr
diff --git a/pynxtools/dataconverter/readers/hall/reader.py b/pynxtools/dataconverter/readers/hall/reader.py
deleted file mode 100644
index a18324ba7..000000000
--- a/pynxtools/dataconverter/readers/hall/reader.py
+++ /dev/null
@@ -1,224 +0,0 @@
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Lake Shore Hall file reader implementation for the DataConverter."""
-from pathlib import Path
-import re
-from typing import Any, List, TextIO, Dict, Optional
-import logging
-import numpy as np
-import pandas as pd
-
-from pynxtools.dataconverter.readers.json_yml.reader import YamlJsonReader
-from pynxtools.dataconverter.readers.hall import helpers
-from pynxtools.dataconverter.readers.utils import parse_json, parse_yml
-
-# Replacement dict for section names
-SECTION_REPLACEMENTS = {
-    "Sample parameters": "entry/sample",
-    "Measurements": "entry/measurement",
-}
-
-# Replacement dict for measurement indicators
-MEASUREMENT_REPLACEMENTS = {
-    "IV Curve Measurement": "iv_curve",
-    "Variable Field Measurement": "variable_field",
-}
-
-# Dict for converting values for specific keys
-CONVERSION_FUNCTIONS = {
-    "Start Time": helpers.convert_date,
-    "Time Completed": helpers.convert_date,
-    "Skipped at": helpers.convert_date,
-}
-
-# Keys that indicate the start of measurement block
-MEASUREMENT_KEYS = ["Contact Sets"]
-
-reader_dir = Path(__file__).parent
-config_file = reader_dir.joinpath("enum_map.json")
-ENUM_FIELDS = parse_json(str(config_file))
-
-logger = logging.getLogger(__name__)
-logger.setLevel(logging.WARN)
-
-
-def split_add_key(fobj: Optional[TextIO], dic: dict, prefix: str, expr: str) -> None:
-    """Splits a key value pair and adds it to the dictionary.
-    It also checks for measurement headers and adds the full tabular data as a
-    pandas array to the dictionary.
-
-    Args:
-        fobj (TextIO): The file object to read from
-        dic (dict): The dict to write the data into
-        prefix (str): Key prefix for the dict
-        expr (str): The current expr/line to parse
-    """
-    key, *val = re.split(r"\s*[:|=]\s*", expr)
-    jval = "".join(val).strip()
-
-    def parse_enum() -> bool:
-        sprefix = prefix.strip("/")
-        if "Keithley" not in sprefix:
-            w_trailing_num = re.search(r"(.*) \d+$", sprefix)
-            if w_trailing_num:
-                sprefix = w_trailing_num.group(1)
-
-        if (
-            sprefix in ENUM_FIELDS
-            and key in ENUM_FIELDS[sprefix]
-            and helpers.is_integer(jval)
-        ):
-            if jval not in ENUM_FIELDS[sprefix][key]:
-                logger.warning("Option `%s` not in `%s, %s`", jval, sprefix, key)
-            dic[f"{prefix}/{key}"] = ENUM_FIELDS[sprefix][key].get(jval, "UNKNOWN")
-            return True
-
-        return False
-
-    def parse_field():
-        if helpers.is_value_with_unit(jval):
-            value, unit = helpers.split_value_with_unit(jval)
-            dic[f"{prefix}/{key}"] = value
-            dic[f"{prefix}/{key}/@units"] = helpers.clean(unit)
-            return
-
-        if parse_enum():
-            return
-
-        if helpers.is_integer(jval):
-            dic[f"{prefix}/{key}"] = int(jval)
-            return
-
-        if helpers.is_number(jval):
-            dic[f"{prefix}/{key}"] = float(jval)
-            return
-
-        if helpers.is_boolean(jval):
-            dic[f"{prefix}/{key}"] = helpers.to_bool(jval)
-            return
-
-        dic[f"{prefix}/{key}"] = CONVERSION_FUNCTIONS.get(key, lambda v: v)(jval)
-
-    def parse_data():
-        data = []
-        for line in fobj:
-            if not line.strip():
-                break
-            if helpers.is_key(line):
-                split_add_key(
-                    None,  # There should be no deeper measurement,
-                    # prevent further consumption of lines
-                    dic,
-                    f"{prefix}/{key}/{jval}",
-                    line,
-                )
-                continue
-            data.append(list(map(lambda x: x.strip(), re.split("\t+", line))))
-
-        dkey = helpers.get_unique_dkey(dic, f"{prefix}/{key}/{jval}/data")
-        dic[dkey] = pd.DataFrame(np.array(data[1:], dtype=np.float64), columns=data[0])
-
-    if fobj is not None and key in MEASUREMENT_KEYS:
-        parse_data()
-    else:
-        parse_field()
-
-
-def parse_txt(fname: str, encoding: str = "iso-8859-1") -> dict:
-    """Reads a template dictonary from a hall measurement file
-
-    Args:
-        fname (str): The file name of the masurement file
-        encoding (str, optional): The encoding of the ASCII file. Defaults to "iso-8859-1".
-
-    Returns:
-        dict: Dict containing the data and metadata of the measurement
-    """
-
-    def parse_measurement(line: str, current_section: str, current_measurement: str):
-        data = []
-        for mline in fobj:
-            if not mline.strip():
-                break
-            data.append(list(map(lambda x: x.strip(), re.split("\t+", mline))))
-
-        header = list(map(lambda x: x.strip(), re.split("\t+", line)))
-        dkey = helpers.get_unique_dkey(
-            template, f"{current_section}{current_measurement}/data"
-        )
-        template.update(
-            helpers.pandas_df_to_template(
-                dkey, pd.DataFrame(np.array(data, dtype=np.float64), columns=header)
-            )
-        )
-
-        return current_section, current_measurement
-
-    def parse(line: str, current_section: str, current_measurement: str):
-        if helpers.is_section(line):
-            sline = line.strip()[1:-1]
-            current_section = f"/{SECTION_REPLACEMENTS.get(sline, sline)}"
-            current_measurement = ""
-            return current_section, current_measurement
-
-        if helpers.is_measurement(line):
-            step, _, *meas = line.partition(":")
-            sline = f"{step[6:]}_" + "".join(meas).strip()[:-1]
-            current_measurement = f"/{MEASUREMENT_REPLACEMENTS.get(sline, sline)}"
-            return current_section, current_measurement
-
-        if helpers.is_key(line):
-            split_add_key(
-                fobj, template, f"{current_section}{current_measurement}", line
-            )
-            return current_section, current_measurement
-
-        if helpers.is_meas_header(line):
-            return parse_measurement(line, current_section, current_measurement)
-
-        if line.strip():
-            logger.warning("Line `%s` ignored", line.strip())
-
-        return current_section, current_measurement
-
-    template: Dict[str, Any] = {}
-    current_section = "/entry"
-    current_measurement = ""
-    with open(fname, encoding=encoding) as fobj:
-        for line in fobj:
-            current_section, current_measurement = parse(
-                line, current_section, current_measurement
-            )
-
-    return template
-
-
-# pylint: disable=too-few-public-methods
-class HallReader(YamlJsonReader):
-    """HallReader implementation for the DataConverter
-    to convert Hall data to Nexus."""
-
-    supported_nxdls: List[str] = ["NXroot"]
-    extensions = {
-        ".txt": lambda fname: parse_txt(fname, "iso-8859-1"),
-        ".json": parse_json,
-        ".yml": lambda fname: parse_yml(fname, None, None),
-        ".yaml": lambda fname: parse_yml(fname, None, None),
-    }
-
-
-READER = HallReader
diff --git a/pynxtools/dataconverter/readers/transmission/README.md b/pynxtools/dataconverter/readers/transmission/README.md
deleted file mode 100644
index 0fd071f32..000000000
--- a/pynxtools/dataconverter/readers/transmission/README.md
+++ /dev/null
@@ -1,4 +0,0 @@
-# transmission reader
-
-## Contact person in FAIRmat for this reader
-The FAIRmat Area B team
\ No newline at end of file
diff --git a/pynxtools/dataconverter/readers/transmission/__init__.py b/pynxtools/dataconverter/readers/transmission/__init__.py
deleted file mode 100644
index e69de29bb..000000000
diff --git a/pynxtools/dataconverter/readers/transmission/metadata_parsers.py b/pynxtools/dataconverter/readers/transmission/metadata_parsers.py
deleted file mode 100644
index ca15b26a8..000000000
--- a/pynxtools/dataconverter/readers/transmission/metadata_parsers.py
+++ /dev/null
@@ -1,69 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Functions for reading metadata values from Perkin Ellmer files"""
-from datetime import datetime
-
-# The min & max wavelength the instrument can measure
-MIN_WAVELENGTH = 190.0
-MAX_WAVELENGTH = 3350.0
-
-
-def read_start_date(metadata: list) -> str:
-    """Reads the start date from the metadata"""
-    century = str(datetime.now().year // 100)
-    formated_date = metadata[3].replace("/", "-")
-    return f"{century}{formated_date}T{metadata[4]}000Z"
-
-
-def read_sample_attenuator(metadata: list) -> int:
-    """Reads the sample attenuator from the metadata"""
-    return int(metadata[47].split()[0].split(":")[1])
-
-
-def read_ref_attenuator(metadata: list) -> int:
-    """Reads the sample attenuator from the metadata"""
-    return int(metadata[47].split()[1].split(":")[1])
-
-
-def is_depolarizer_on(metadata: list) -> bool:
-    """Reads whether the depolarizer was active during the measurement"""
-    return metadata[46] == "on"
-
-
-def read_uv_monochromator_range(metadata: list) -> list:
-    """Reads the uv monochromator range from the metadata"""
-    monochromator_change = float(metadata[41])
-    return [MIN_WAVELENGTH, monochromator_change]
-
-
-def read_visir_monochromator_range(metadata: list) -> list:
-    """Reads the visir monochromator range from the metadata"""
-    monochromator_change = float(metadata[41])
-    return [monochromator_change, MAX_WAVELENGTH]
-
-
-def get_d2_range(metadata: list) -> list:
-    """Reads the D2 lamp range from the metadata"""
-    lamp_change = float(metadata[42])
-    return [MIN_WAVELENGTH, lamp_change]
-
-
-def get_halogen_range(metadata: list) -> list:
-    """Reads the halogen lamp range from the metadata"""
-    lamp_change = float(metadata[42])
-    return [lamp_change, MAX_WAVELENGTH]
diff --git a/pynxtools/dataconverter/readers/transmission/reader.py b/pynxtools/dataconverter/readers/transmission/reader.py
deleted file mode 100644
index 5863a406c..000000000
--- a/pynxtools/dataconverter/readers/transmission/reader.py
+++ /dev/null
@@ -1,256 +0,0 @@
-#
-# Copyright The NOMAD Authors.
-#
-# This file is part of NOMAD. See https://nomad-lab.eu for further info.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-"""Perkin Ellmer transmission file reader implementation for the DataConverter."""
-from inspect import isfunction
-from typing import Callable, List, Any, Dict
-import pandas as pd
-
-from pynxtools.dataconverter.readers.json_yml.reader import YamlJsonReader
-import pynxtools.dataconverter.readers.transmission.metadata_parsers as mpars
-from pynxtools.dataconverter.readers.utils import parse_json, parse_yml, handle_objects
-
-
-# Dictionary mapping metadata in the asc file to the paths in the NeXus file.
-# The entry can either be a function with one list parameter
-# which is executed to fill the specific path or an
-# integer which is used to get the value at the index of the metadata.
-# If the value is a str this string gets inputed at the path.
-METADATA_MAP: Dict[str, Any] = {
-    "/ENTRY[entry]/SAMPLE[sample]/name": 8,
-    "/ENTRY[entry]/start_time": mpars.read_start_date,
-    "/ENTRY[entry]/instrument/sample_attenuator/attenuator_transmission": mpars.read_sample_attenuator,
-    "/ENTRY[entry]/instrument/ref_attenuator/attenuator_transmission": mpars.read_ref_attenuator,
-    "/ENTRY[entry]/instrument/common_beam_mask/y_gap": 45,
-    "/ENTRY[entry]/instrument/polarizer": 48,
-    "/ENTRY[entry]/instrument/common_beam_depolarizer": mpars.is_depolarizer_on,
-    "/ENTRY[entry]/instrument/spectrometer/GRATING[grating]/wavelength_range": mpars.read_uv_monochromator_range,
-    "/ENTRY[entry]/instrument/spectrometer/GRATING[grating1]/wavelength_range": mpars.read_visir_monochromator_range,
-    "/ENTRY[entry]/instrument/SOURCE[source]/type": "D2",
-    "/ENTRY[entry]/instrument/SOURCE[source]/wavelength_range": mpars.get_d2_range,
-    "/ENTRY[entry]/instrument/SOURCE[source1]/type": "halogen",
-    "/ENTRY[entry]/instrument/SOURCE[source1]/wavelength_range": mpars.get_halogen_range,
-}
-# Dictionary to map value during the yaml eln reading
-# This is typically a mapping from ELN signifier to NeXus path
-CONVERT_DICT: Dict[str, str] = {"Sample": "SAMPLE[sample]", "unit": "@units"}
-# Dictionary to map nested values during the yaml eln reading
-# This is typically a mapping from nested ELN signifiers to NeXus group
-REPLACE_NESTED: Dict[str, str] = {
-    "Sample[sample]/experiment_identifier": "experiment_identifier"
-}
-
-
-def data_to_template(data: pd.DataFrame) -> Dict[str, Any]:
-    """Builds the data entry dict from the data in a pandas dataframe
-
-    Args:
-        data (pd.DataFrame): The dataframe containing the data.
-
-    Returns:
-        Dict[str, Any]: The dict with the data paths inside NeXus.
-    """
-    template: Dict[str, Any] = {}
-    template["/ENTRY[entry]/data/@axes"] = "wavelength"
-    template["/ENTRY[entry]/data/type"] = "transmission"
-    template["/ENTRY[entry]/data/@signal"] = "transmission"
-    template["/ENTRY[entry]/data/wavelength"] = data.index.values
-    template["/ENTRY[entry]/instrument/spectrometer/wavelength"] = data.index.values
-    template["/ENTRY[entry]/data/wavelength/@units"] = "nm"
-    template["/ENTRY[entry]/data/transmission"] = data.values[:, 0]
-    template["/ENTRY[entry]/instrument/measured_data"] = data.values
-
-    return template
-
-
-def parse_detector_line(line: str, convert: Callable[[str], Any] = None) -> List[Any]:
-    """Parses a detector line from the asc file.
-
-    Args:
-        line (str): The line to parse.
-
-    Returns:
-        List[Any]: The list of detector settings.
-    """
-    if convert is None:
-
-        def convert(val):
-            return val
-
-    return [convert(s.split("/")[-1]) for s in line.split()]
-
-
-# pylint: disable=too-many-arguments
-def convert_detector_to_template(
-    det_type: str,
-    slit: str,
-    time: float,
-    gain: float,
-    det_idx: int,
-    wavelength_range: List[float],
-) -> Dict[str, Any]:
-    """Writes the detector settings to the template.
-
-    Args:
-        det_type (str): The detector type.
-        slit (float): The slit width.
-        time (float): The exposure time.
-        gain (str): The gain setting.
-
-    Returns:
-        Dict[str, Any]: The dictionary containing the data readout from the asc file.
-    """
-    if det_idx == 0:
-        path = "/ENTRY[entry]/instrument/DETECTOR[detector]"
-    else:
-        path = f"/ENTRY[entry]/instrument/DETECTOR[detector{det_idx}]"
-    template: Dict[str, Any] = {}
-    template[f"{path}/type"] = det_type
-    template[f"{path}/response_time"] = time
-    if gain is not None:
-        template[f"{path}/gain"] = gain
-
-    if slit == "servo":
-        template[f"{path}/slit/type"] = "servo"
-    else:
-        template[f"{path}/slit/type"] = "fixed"
-        template[f"{path}/slit/x_gap"] = float(slit)
-        template[f"{path}/slit/x_gap/@units"] = "nm"
-
-    template[f"{path}/wavelength_range"] = wavelength_range
-
-    return template
-
-
-def read_detectors(metadata: list) -> Dict[str, Any]:
-    """Reads detector values from the metadata and writes them into a template
-    with the appropriate NeXus path."""
-
-    template: Dict[str, Any] = {}
-    detector_slits = parse_detector_line(metadata[31])
-    detector_times = parse_detector_line(metadata[32], float)
-    detector_gains = parse_detector_line(metadata[35], float)
-    detector_changes = [float(x) for x in metadata[43].split()]
-    wavelength_ranges = (
-        [mpars.MIN_WAVELENGTH] + detector_changes[::-1] + [mpars.MAX_WAVELENGTH]
-    )
-
-    template.update(
-        convert_detector_to_template(
-            "PMT",
-            detector_slits[-1],
-            detector_times[-1],
-            None,
-            2,
-            [wavelength_ranges[0], wavelength_ranges[1]],
-        )
-    )
-
-    for name, idx, slit, time, gain in zip(
-        ["PbS", "InGaAs"],
-        [1, 0],
-        detector_slits[1:],
-        detector_times[1:],
-        detector_gains[1:],
-    ):
-        template.update(
-            convert_detector_to_template(
-                name,
-                slit,
-                time,
-                gain,
-                idx,
-                [wavelength_ranges[2 - idx], wavelength_ranges[3 - idx]],
-            )
-        )
-
-    return template
-
-
-def parse_asc(file_path: str) -> Dict[str, Any]:
-    """Parses a Perkin Ellmer asc file into metadata and data dictionary.
-
-    Args:
-        file_path (str): File path to the asc file.
-
-    Returns:
-        Dict[str, Any]: Dictionary containing the metadata and data from the asc file.
-    """
-    template: Dict[str, Any] = {}
-    data_start_ind = "#DATA"
-
-    with open(file_path, encoding="utf-8") as fobj:
-        metadata = []
-        for line in fobj:
-            if line.strip() == data_start_ind:
-                break
-            metadata.append(line.strip())
-
-        data = pd.read_csv(fobj, delim_whitespace=True, header=None, index_col=0)
-
-    for path, val in METADATA_MAP.items():
-        # If the dict value is an int just get the data with it's index
-        if isinstance(val, int):
-            template[path] = metadata[val]
-        elif isinstance(val, str):
-            template[path] = val
-        elif isfunction(val):
-            template[path] = val(metadata)
-        else:
-            print(
-                f"WARNING: "
-                f"Invalid type value {type(val)} of entry '{path}:{val}' in METADATA_MAP"
-            )
-
-    template.update(read_detectors(metadata))
-    template.update(data_to_template(data))
-
-    return template
-
-
-def add_def_info() -> Dict[str, str]:
-    """Creates a template with definition version information"""
-    template: Dict[str, Any] = {}
-    template["/@default"] = "entry"
-    template["/ENTRY[entry]/@default"] = "data"
-    template["/ENTRY[entry]/definition"] = "NXtransmission"
-    template["/ENTRY[entry]/definition/@version"] = "v2022.06"
-    template["/ENTRY[entry]/definition/@url"] = (
-        "https://fairmat-experimental.github.io/nexus-fairmat-proposal/"
-        + "50433d9039b3f33299bab338998acb5335cd8951/index.html"
-    )
-
-    return template
-
-
-# pylint: disable=too-few-public-methods
-class TransmissionReader(YamlJsonReader):
-    """TransmissionReader implementation for the DataConverter
-    to convert transmission data to Nexus."""
-
-    supported_nxdls = ["NXtransmission"]
-    extensions = {
-        ".asc": parse_asc,
-        ".json": parse_json,
-        ".yml": lambda fname: parse_yml(fname, CONVERT_DICT, REPLACE_NESTED),
-        ".yaml": lambda fname: parse_yml(fname, CONVERT_DICT, REPLACE_NESTED),
-        "default": lambda _: add_def_info(),
-        "objects": handle_objects,
-    }
-
-
-READER = TransmissionReader
diff --git a/pyproject.toml b/pyproject.toml
index b49502781..622712002 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -31,7 +31,6 @@ dependencies = [
     "numpy>=1.21.2",
     "pandas>=1.3.2",
     "ase>=3.19.0",
-    "pytz>=2021.1",
     "mergedeep",
     "importlib-metadata",
 ]
diff --git a/tests/data/dataconverter/readers/transmission/KTF-9_1_A.asc b/tests/data/dataconverter/readers/transmission/KTF-9_1_A.asc
deleted file mode 100644
index 878dc18c7..000000000
--- a/tests/data/dataconverter/readers/transmission/KTF-9_1_A.asc
+++ /dev/null
@@ -1,1246 +0,0 @@
-PE UV       SUBTECH     SPECTRUM    ASCII       PEDS        4.00        
-   -1
-KTF-9_1_A.asc
-19/06/25
-11:03:40.00
-19/06/25
-11:03:40.00
-Analyst
-
-190.000000
-1
-Lambda 1050
-1050L1611222
-PerkinElmer UV WinLab 6.3.2.0749 / 2.02.06 Lambda 900 UV/VIS/NIR, Jan 28 2016 16:58:34
-
-0
-0
-3350/servo 1800.8/servo 820.8/2
-0
-0
-UV/VIS
-1
-1
-1
-DoubleDePol,CommonBeamDepol,RBeamAtt,SBeamAtt,uv/vis/nir detector, TDS WB InGaAs Detector
-0
-0
-0
-0
-Program
-Program
-3350/servo 1800.8/servo 820.8/2
-3350/0.24 1800.8/0.24 820.8/0.2
-3350/0.24 1800.8/0.24 820.8/0.2
-0
-3350/1.00 1800.8/10.00
- 
- 
- 
-0
- 
-820.8
-319.2
-1800.8 820.8
-Front
-50
-on
-S:100 R:100
-0
-0
-0
-0
- 
-0
- 
- 
- 
-0
- 
- 
-0
-0
-0
-0
-0
- 
- 
- 
- 
-0
-0
-
-
-0
-0
-#HDR
--1
--1
-#GR
-nm
-%T
-1.0
-0.0
-2500.000000
--2.000000
-1156
-8
-92.078671
--0.008244
-#DATA
-2500.000000	74.863648
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diff --git a/tests/data/dataconverter/readers/transmission/KTF-9_1_A.sp b/tests/data/dataconverter/readers/transmission/KTF-9_1_A.sp
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XM~hb6uP==r`t_xw4UD(U1j7FVz<<g<

diff --git a/tests/data/dataconverter/readers/transmission/metadata.json b/tests/data/dataconverter/readers/transmission/metadata.json
deleted file mode 100644
index f19455584..000000000
--- a/tests/data/dataconverter/readers/transmission/metadata.json
+++ /dev/null
@@ -1,8 +0,0 @@
-{
-    "/ENTRY[entry]/operator/name": "Test",
-    "/ENTRY[entry]/operator/affiliation": "Testinstitute",
-    "/ENTRY[entry]/operator/address": "My Address 1",
-    "/ENTRY[entry]/operator/email": "test@test.org",
-    "/ENTRY[entry]/SAMPLE[sample]/name": "KTF-9_1_A",
-    "/ENTRY[entry]/experiment_identifier": "Transmission of KTF-9_1_A"
-}
\ No newline at end of file
diff --git a/tests/dataconverter/test_convert.py b/tests/dataconverter/test_convert.py
index 1974856da..f72837313 100644
--- a/tests/dataconverter/test_convert.py
+++ b/tests/dataconverter/test_convert.py
@@ -208,26 +208,6 @@ def test_compression(tmp_path):
     restore_xarray_file_from_tmp(tmp_path)
 
 
-def test_eln_data_subsections(tmp_path):
-    """Check if the subsections in the eln_data.yml file work."""
-    dirpath = os.path.join(
-        os.path.dirname(__file__), "../data/dataconverter/readers/json_yml"
-    )
-    dataconverter.convert(
-        (
-            os.path.join(
-                dirpath,
-                "eln_data_w_subsections.yaml",
-            ),
-        ),
-        "hall",
-        "NXroot",
-        os.path.join(tmp_path, "hall.nxs"),
-        False,
-        False,
-    )
-
-
 def test_params_file():
     """Check if the parameters file is read correctly."""
     dirpath = Path(__file__).parent.parent / "data" / "dataconverter"
diff --git a/tests/dataconverter/test_readers.py b/tests/dataconverter/test_readers.py
index edbd1d50a..9ba17f4fb 100644
--- a/tests/dataconverter/test_readers.py
+++ b/tests/dataconverter/test_readers.py
@@ -94,6 +94,9 @@ def test_has_correct_read_func(reader):
             return
 
         input_files = sorted(glob.glob(os.path.join(reader_path, "*")))
+        if not reader.supported_nxdls:
+            # If there are no supported nxdls test against NXroot
+            reader.supported_nxdls = ["NXroot"]
         for supported_nxdl in reader.supported_nxdls:
             if supported_nxdl in ("NXtest", "*"):
                 nxdl_file = os.path.join(dataconverter_data_dir, "NXtest.nxdl.xml")

From b42469aa36f7e2e51d8761166777ecc9d7cd30b8 Mon Sep 17 00:00:00 2001
From: mkuehbach <markus.kuehbach@physik.hu-berlin.de>
Date: Thu, 21 Mar 2024 17:25:23 +0100
Subject: [PATCH 31/58] Testing partially capitalized group and field names for
 pynxtools-apm

---
 pynxtools/definitions | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pynxtools/definitions b/pynxtools/definitions
index cca9a34ff..5a57246fb 160000
--- a/pynxtools/definitions
+++ b/pynxtools/definitions
@@ -1 +1 @@
-Subproject commit cca9a34ffd7f177d17e534848b1a0ee555c89b74
+Subproject commit 5a57246fb1ca0e8841ae677962e0b06c645363b2

From 3ecfd411c37f1dbc43f84ea2a7e2f2d263171c40 Mon Sep 17 00:00:00 2001
From: mkuehbach <markus.kuehbach@physik.hu-berlin.de>
Date: Thu, 21 Mar 2024 17:33:28 +0100
Subject: [PATCH 32/58] Added newline with nexus-version.txt file to mitigate
 CI linting error

---
 pynxtools/nexus-version.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pynxtools/nexus-version.txt b/pynxtools/nexus-version.txt
index b31bd0906..2c7edb39e 100644
--- a/pynxtools/nexus-version.txt
+++ b/pynxtools/nexus-version.txt
@@ -1 +1 @@
-v2020.10-1462-g7a476095
\ No newline at end of file
+v2020.10-1462-g7a476095

From ff5396188d82d246fa46499871a1a3dff3874e8d Mon Sep 17 00:00:00 2001
From: mkuehbach <markus.kuehbach@physik.hu-berlin.de>
Date: Thu, 21 Mar 2024 17:42:23 +0100
Subject: [PATCH 33/58] Edit nexus-version.txt to reflect that this tracking
 branch uses a different version of the definitions that the master

---
 pynxtools/nexus-version.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pynxtools/nexus-version.txt b/pynxtools/nexus-version.txt
index 2c7edb39e..7581e6d79 100644
--- a/pynxtools/nexus-version.txt
+++ b/pynxtools/nexus-version.txt
@@ -1 +1 @@
-v2020.10-1462-g7a476095
+v2020.10-1553-g5a57246f

From aa838e3dac3d92f0b08144f5c7217322cf1796a8 Mon Sep 17 00:00:00 2001
From: Sandor Brockhauser <sandor.brockhauser@xfel.eu>
Date: Mon, 25 Mar 2024 19:16:03 +0100
Subject: [PATCH 34/58] removing nxdl_utils and using it from definitions

---
 pynxtools/definitions         |   2 +-
 pynxtools/nexus/nexus.py      |   2 +-
 pynxtools/nexus/nxdl_utils.py | 852 ----------------------------------
 tests/nexus/test_nexus.py     |  19 +-
 4 files changed, 20 insertions(+), 855 deletions(-)
 delete mode 100644 pynxtools/nexus/nxdl_utils.py

diff --git a/pynxtools/definitions b/pynxtools/definitions
index 5a57246fb..c72643416 160000
--- a/pynxtools/definitions
+++ b/pynxtools/definitions
@@ -1 +1 @@
-Subproject commit 5a57246fb1ca0e8841ae677962e0b06c645363b2
+Subproject commit c72643416ca2a90b674d61a6f76c0ac5371cd842
diff --git a/pynxtools/nexus/nexus.py b/pynxtools/nexus/nexus.py
index 8f31263ea..c10b728ba 100644
--- a/pynxtools/nexus/nexus.py
+++ b/pynxtools/nexus/nexus.py
@@ -9,7 +9,7 @@
 import click
 import h5py
 
-from pynxtools.nexus.nxdl_utils import *  # pylint: disable=wildcard-import, unused-wildcard-import
+from pynxtools.definitions.dev_tools.utils.nxdl_utils import *  # pylint: disable=wildcard-import, unused-wildcard-import
 
 
 def get_nxdl_entry(hdf_info):
diff --git a/pynxtools/nexus/nxdl_utils.py b/pynxtools/nexus/nxdl_utils.py
deleted file mode 100644
index 48c6e4562..000000000
--- a/pynxtools/nexus/nxdl_utils.py
+++ /dev/null
@@ -1,852 +0,0 @@
-# pylint: disable=too-many-lines
-"""Parse NeXus definition files
-"""
-
-import os
-import xml.etree.ElementTree as ET
-from functools import lru_cache
-from glob import glob
-import textwrap
-
-
-class NxdlAttributeError(Exception):
-    """An exception for throwing an error when an Nxdl attribute is not found."""
-
-
-def get_app_defs_names():
-    """Returns all the AppDef names without their extension: .nxdl.xml"""
-    app_def_path_glob = (
-        f"{get_nexus_definitions_path()}{os.sep}applications{os.sep}*.nxdl*"
-    )
-    contrib_def_path_glob = (
-        f"{get_nexus_definitions_path()}{os.sep}"
-        f"contributed_definitions{os.sep}*.nxdl*"
-    )
-    files = sorted(glob(app_def_path_glob)) + sorted(glob(contrib_def_path_glob))
-    return [os.path.basename(file).split(".")[0] for file in files] + ["NXroot"]
-
-
-@lru_cache(maxsize=None)
-def get_xml_root(file_path):
-    """Reducing I/O time by caching technique"""
-
-    return ET.parse(file_path).getroot()
-
-
-def get_nexus_definitions_path():
-    """Check NEXUS_DEF_PATH variable.
-    If it is empty, this function is filling it"""
-    try:  # either given by sys env
-        return os.environ["NEXUS_DEF_PATH"]
-    except KeyError:  # or it should be available locally under the dir 'definitions'
-        local_dir = os.path.abspath(os.path.dirname(__file__))
-        return os.path.join(local_dir, f"..{os.sep}definitions")
-
-
-def get_hdf_root(hdf_node):
-    """Get the root HDF5 node"""
-    node = hdf_node
-    while node.name != "/":
-        node = node.parent
-    return node
-
-
-def get_hdf_parent(hdf_info):
-    """Get the parent of an hdf_node in an hdf_info"""
-    if "hdf_path" not in hdf_info:
-        return hdf_info["hdf_node"].parent
-    node = (
-        get_hdf_root(hdf_info["hdf_node"])
-        if "hdf_root" not in hdf_info
-        else hdf_info["hdf_root"]
-    )
-    for child_name in hdf_info["hdf_path"].split("/"):
-        node = node[child_name]
-    return node
-
-
-def get_parent_path(hdf_name):
-    """Get parent path"""
-    return "/".join(hdf_name.split("/")[:-1])
-
-
-def get_hdf_info_parent(hdf_info):
-    """Get the hdf_info for the parent of an hdf_node in an hdf_info"""
-    if "hdf_path" not in hdf_info:
-        return {"hdf_node": hdf_info["hdf_node"].parent}
-    node = (
-        get_hdf_root(hdf_info["hdf_node"])
-        if "hdf_root" not in hdf_info
-        else hdf_info["hdf_root"]
-    )
-    for child_name in hdf_info["hdf_path"].split("/")[1:-1]:
-        node = node[child_name]
-    return {"hdf_node": node, "hdf_path": get_parent_path(hdf_info["hdf_path"])}
-
-
-def get_nx_class(nxdl_elem):
-    """Get the nexus class for a NXDL node"""
-    if "category" in nxdl_elem.attrib.keys():
-        return None
-    try:
-        return nxdl_elem.attrib["type"]
-    except KeyError:
-        return "NX_CHAR"
-
-
-def get_nx_namefit(hdf_name, name, name_any=False):
-    """Checks if an HDF5 node name corresponds to a child of the NXDL element
-    uppercase letters in front can be replaced by arbitraty name, but
-    uppercase to lowercase match is preferred,
-    so such match is counted as a measure of the fit"""
-    if name == hdf_name:
-        return len(name) * 2
-    # count leading capitals
-    counting = 0
-    while counting < len(name) and name[counting].upper() == name[counting]:
-        counting += 1
-    if (
-        name_any
-        or counting == len(name)
-        or (counting > 0 and hdf_name.endswith(name[counting:]))
-    ):  # if potential fit
-        # count the matching chars
-        fit = 0
-        for i in range(min(counting, len(hdf_name))):
-            if hdf_name[i].upper() == name[i]:
-                fit += 1
-            else:
-                break
-        if fit == min(counting, len(hdf_name)):  # accept only full fits as better fits
-            return fit
-        return 0
-    return -1  # no fit
-
-
-def get_nx_classes():
-    """Read base classes from the NeXus definition folder.
-    Check each file in base_classes, applications, contributed_definitions.
-    If its category attribute is 'base', then it is added to the list."""
-    base_classes = sorted(
-        glob(os.path.join(get_nexus_definitions_path(), "base_classes", "*.nxdl.xml"))
-    )
-    applications = sorted(
-        glob(os.path.join(get_nexus_definitions_path(), "applications", "*.nxdl.xml"))
-    )
-    contributed = sorted(
-        glob(
-            os.path.join(
-                get_nexus_definitions_path(), "contributed_definitions", "*.nxdl.xml"
-            )
-        )
-    )
-    nx_clss = []
-    for nexus_file in base_classes + applications + contributed:
-        root = get_xml_root(nexus_file)
-        if root.attrib["category"] == "base":
-            nx_clss.append(str(nexus_file[nexus_file.rindex(os.sep) + 1 :])[:-9])
-    nx_clss = sorted(nx_clss)
-    return nx_clss
-
-
-def get_nx_units():
-    """Read unit kinds from the NeXus definition/nxdlTypes.xsd file"""
-    filepath = f"{get_nexus_definitions_path()}{os.sep}nxdlTypes.xsd"
-    root = get_xml_root(filepath)
-    units_and_type_list = []
-    for child in root:
-        for i in child.attrib.values():
-            units_and_type_list.append(i)
-    flag = False
-    for line in units_and_type_list:
-        if line == "anyUnitsAttr":
-            flag = True
-            nx_units = []
-        elif "NX" in line and flag is True:
-            nx_units.append(line)
-        elif line == "primitiveType":
-            flag = False
-        else:
-            pass
-    return nx_units
-
-
-def get_nx_attribute_type():
-    """Read attribute types from the NeXus definition/nxdlTypes.xsd file"""
-    filepath = get_nexus_definitions_path() + "/nxdlTypes.xsd"
-    root = get_xml_root(filepath)
-    units_and_type_list = []
-    for child in root:
-        for i in child.attrib.values():
-            units_and_type_list.append(i)
-    flag = False
-    for line in units_and_type_list:
-        if line == "primitiveType":
-            flag = True
-            nx_types = []
-        elif "NX" in line and flag is True:
-            nx_types.append(line)
-        elif line == "anyUnitsAttr":
-            flag = False
-        else:
-            pass
-    return nx_types
-
-
-def get_node_name(node):
-    """Node - xml node. Returns html documentation name.
-    Either as specified by the 'name' or taken from the type (nx_class).
-    Note that if only class name is available, the NX prefix is removed and
-    the string is converted to UPPER case."""
-    if "name" in node.attrib.keys():
-        name = node.attrib["name"]
-    else:
-        name = node.attrib["type"]
-        if name.startswith("NX"):
-            name = name[2:].upper()
-    return name
-
-
-def belongs_to(nxdl_elem, child, name, class_type=None, hdf_name=None):
-    """Checks if an HDF5 node name corresponds to a child of the NXDL element
-    uppercase letters in front can be replaced by arbitraty name, but
-    uppercase to lowercase match is preferred"""
-    if class_type and get_nx_class(child) != class_type:
-        return False
-    act_htmlname = get_node_name(child)
-    chk_name = hdf_name or name
-    if act_htmlname == chk_name:
-        return True
-    if not hdf_name:  # search for name fits is only allowed for hdf_nodes
-        return False
-    try:  # check if nameType allows different name
-        name_any = bool(child.attrib["nameType"] == "any")
-    except KeyError:
-        name_any = False
-    params = [act_htmlname, chk_name, name_any, nxdl_elem, child, name]
-    return belongs_to_capital(params)
-
-
-def belongs_to_capital(params):
-    """Checking continues for Upper case"""
-    (act_htmlname, chk_name, name_any, nxdl_elem, child, name) = params
-    # or starts with capital and no reserved words used
-    if (
-        (name_any or "A" <= act_htmlname[0] <= "Z")
-        and name != "doc"
-        and name != "enumeration"
-    ):
-        fit = get_nx_namefit(chk_name, act_htmlname, name_any)  # check if name fits
-        if fit < 0:
-            return False
-        for child2 in nxdl_elem:
-            if (
-                get_local_name_from_xml(child) != get_local_name_from_xml(child2)
-                or get_node_name(child2) == act_htmlname
-            ):
-                continue
-            # check if the name of another sibling fits better
-            name_any2 = (
-                "nameType" in child2.attrib.keys()
-                and child2.attrib["nameType"] == "any"
-            )
-            fit2 = get_nx_namefit(chk_name, get_node_name(child2), name_any2)
-            if fit2 > fit:
-                return False
-        # accept this fit
-        return True
-    return False
-
-
-def get_local_name_from_xml(element):
-    """Helper function to extract the element tag without the namespace."""
-    return element.tag[element.tag.rindex("}") + 1 :]
-
-
-def get_own_nxdl_child_reserved_elements(child, name, nxdl_elem):
-    """checking reserved elements, like doc, enumeration"""
-    if get_local_name_from_xml(child) == "doc" and name == "doc":
-        if nxdl_elem.get("nxdlbase"):
-            child.set("nxdlbase", nxdl_elem.get("nxdlbase"))
-            child.set("nxdlbase_class", nxdl_elem.get("nxdlbase_class"))
-            child.set("nxdlpath", nxdl_elem.get("nxdlpath") + "/doc")
-        return child
-    if get_local_name_from_xml(child) == "enumeration" and name == "enumeration":
-        if nxdl_elem.get("nxdlbase"):
-            child.set("nxdlbase", nxdl_elem.get("nxdlbase"))
-            child.set("nxdlbase_class", nxdl_elem.get("nxdlbase_class"))
-            child.set("nxdlpath", nxdl_elem.get("nxdlpath") + "/enumeration")
-        return child
-    return False
-
-
-def get_own_nxdl_child_base_types(child, class_type, nxdl_elem, name, hdf_name):
-    """checking base types of group, field,m attribute"""
-    if get_local_name_from_xml(child) == "group":
-        if (
-            class_type is None or (class_type and get_nx_class(child) == class_type)
-        ) and belongs_to(nxdl_elem, child, name, class_type, hdf_name):
-            if nxdl_elem.get("nxdlbase"):
-                child.set("nxdlbase", nxdl_elem.get("nxdlbase"))
-                child.set("nxdlbase_class", nxdl_elem.get("nxdlbase_class"))
-                child.set(
-                    "nxdlpath", nxdl_elem.get("nxdlpath") + "/" + get_node_name(child)
-                )
-            return child
-    if get_local_name_from_xml(child) == "field" and belongs_to(
-        nxdl_elem, child, name, None, hdf_name
-    ):
-        if nxdl_elem.get("nxdlbase"):
-            child.set("nxdlbase", nxdl_elem.get("nxdlbase"))
-            child.set("nxdlbase_class", nxdl_elem.get("nxdlbase_class"))
-            child.set(
-                "nxdlpath", nxdl_elem.get("nxdlpath") + "/" + get_node_name(child)
-            )
-        return child
-    if get_local_name_from_xml(child) == "attribute" and belongs_to(
-        nxdl_elem, child, name, None, hdf_name
-    ):
-        if nxdl_elem.get("nxdlbase"):
-            child.set("nxdlbase", nxdl_elem.get("nxdlbase"))
-            child.set("nxdlbase_class", nxdl_elem.get("nxdlbase_class"))
-            child.set(
-                "nxdlpath", nxdl_elem.get("nxdlpath") + "/" + get_node_name(child)
-            )
-        return child
-    return False
-
-
-def get_own_nxdl_child(
-    nxdl_elem, name, class_type=None, hdf_name=None, nexus_type=None
-):
-    """Checks if an NXDL child node fits to the specific name (either nxdl or hdf)
-    name       - nxdl name
-    class_type - nxdl type or hdf classname (for groups, it is obligatory)
-    hdf_name   - hdf name"""
-    for child in nxdl_elem:
-        if "name" in child.attrib and child.attrib["name"] == name:
-            if nxdl_elem.get("nxdlbase"):
-                child.set("nxdlbase", nxdl_elem.get("nxdlbase"))
-                child.set("nxdlbase_class", nxdl_elem.get("nxdlbase_class"))
-                child.set(
-                    "nxdlpath", nxdl_elem.get("nxdlpath") + "/" + get_node_name(child)
-                )
-            return child
-    for child in nxdl_elem:
-        if "name" in child.attrib and child.attrib["name"] == name:
-            child.set("nxdlbase", nxdl_elem.get("nxdlbase"))
-            return child
-
-    for child in nxdl_elem:
-        result = get_own_nxdl_child_reserved_elements(child, name, nxdl_elem)
-        if result is not False:
-            return result
-        if nexus_type and get_local_name_from_xml(child) != nexus_type:
-            continue
-        result = get_own_nxdl_child_base_types(
-            child, class_type, nxdl_elem, name, hdf_name
-        )
-        if result is not False:
-            return result
-    return None
-
-
-def find_definition_file(bc_name):
-    """find the nxdl file corresponding to the name.
-    Note that it first checks in contributed and goes beyond only if no contributed found"""
-    bc_filename = None
-    for nxdl_folder in ["contributed_definitions", "base_classes", "applications"]:
-        if os.path.exists(
-            f"{get_nexus_definitions_path()}{os.sep}"
-            f"{nxdl_folder}{os.sep}{bc_name}.nxdl.xml"
-        ):
-            bc_filename = (
-                f"{get_nexus_definitions_path()}{os.sep}"
-                f"{nxdl_folder}{os.sep}{bc_name}.nxdl.xml"
-            )
-            break
-    return bc_filename
-
-
-def get_nxdl_child(
-    nxdl_elem, name, class_type=None, hdf_name=None, nexus_type=None, go_base=True
-):  # pylint: disable=too-many-arguments
-    """Get the NXDL child node corresponding to a specific name
-    (e.g. of an HDF5 node,or of a documentation) note that if child is not found in application
-    definition, it also checks for the base classes"""
-    # search for possible fits for hdf_nodes : skipped
-    # only exact hits are returned when searching an nxdl child
-    own_child = get_own_nxdl_child(nxdl_elem, name, class_type, hdf_name, nexus_type)
-    if own_child is not None:
-        return own_child
-    if not go_base:
-        return None
-    bc_name = get_nx_class(nxdl_elem)  # check in the base class, app def or contributed
-    if bc_name[2] == "_":  # filter primitive types
-        return None
-    if (
-        bc_name == "group"
-    ):  # Check if it is the root element. Then send to NXroot.nxdl.xml
-        bc_name = "NXroot"
-    bc_filename = find_definition_file(bc_name)
-    if not bc_filename:
-        raise ValueError("nxdl file not found in definitions folder!")
-    bc_obj = ET.parse(bc_filename).getroot()
-    bc_obj.set("nxdlbase", bc_filename)
-    if "category" in bc_obj.attrib:
-        bc_obj.set("nxdlbase_class", bc_obj.attrib["category"])
-    bc_obj.set("nxdlpath", "")
-    return get_own_nxdl_child(bc_obj, name, class_type, hdf_name, nexus_type)
-
-
-def get_required_string(nxdl_elem):
-    """Check for being REQUIRED, RECOMMENDED, OPTIONAL, NOT IN SCHEMA"""
-    if nxdl_elem is None:
-        return "<<NOT IN SCHEMA>>"
-    is_optional = (
-        "optional" in nxdl_elem.attrib.keys() and nxdl_elem.attrib["optional"] == "true"
-    )
-    is_minoccurs = (
-        "minOccurs" in nxdl_elem.attrib.keys() and nxdl_elem.attrib["minOccurs"] == "0"
-    )
-    is_recommended = (
-        "recommended" in nxdl_elem.attrib.keys()
-        and nxdl_elem.attrib["recommended"] == "true"
-    )
-
-    if is_recommended:
-        return "<<RECOMMENDED>>"
-    if is_optional or is_minoccurs:
-        return "<<OPTIONAL>>"
-    # default optionality: in BASE CLASSES is true; in APPLICATIONS is false
-    try:
-        if nxdl_elem.get("nxdlbase_class") == "base":
-            return "<<OPTIONAL>>"
-    except TypeError:
-        return "<<REQUIRED>>"
-    return "<<REQUIRED>>"
-
-
-# below there are some functions used in get_nxdl_doc function:
-def write_doc_string(logger, doc, attr):
-    """Simple function that prints a line in the logger if doc exists"""
-    if doc:
-        logger.debug("@" + attr + " [NX_CHAR]")
-    return logger, doc, attr
-
-
-def try_find_units(logger, elem, nxdl_path, doc, attr):
-    """Try to find if units is defined inside the field in the NXDL element,
-    otherwise try to find if units is defined as a child of the NXDL element."""
-    try:  # try to find if units is defined inside the field in the NXDL element
-        unit = elem.attrib[attr]
-        if doc:
-            logger.debug(get_node_concept_path(elem) + "@" + attr + " [" + unit + "]")
-        elem = None
-        nxdl_path.append(attr)
-    except (
-        KeyError
-    ):  # otherwise try to find if units is defined as a child of the NXDL element
-        orig_elem = elem
-        elem = get_nxdl_child(elem, attr, nexus_type="attribute")
-        if elem is not None:
-            if doc:
-                logger.debug(
-                    get_node_concept_path(orig_elem)
-                    + "@"
-                    + attr
-                    + " - ["
-                    + get_nx_class(elem)
-                    + "]"
-                )
-            nxdl_path.append(elem)
-        else:  # if no units category were defined in NXDL:
-            if doc:
-                logger.debug(
-                    get_node_concept_path(orig_elem)
-                    + "@"
-                    + attr
-                    + " - REQUIRED, but undefined unit category"
-                )
-            nxdl_path.append(attr)
-    return logger, elem, nxdl_path, doc, attr
-
-
-def check_attr_name_nxdl(param):
-    """Check for ATTRIBUTENAME_units in NXDL (normal).
-    If not defined, check for ATTRIBUTENAME to see if the ATTRIBUTE
-    is in the SCHEMA, but no units category were defined."""
-    (logger, elem, nxdl_path, doc, attr, req_str) = param
-    orig_elem = elem
-    elem2 = get_nxdl_child(elem, attr, nexus_type="attribute")
-    if elem2 is not None:  # check for ATTRIBUTENAME_units in NXDL (normal)
-        elem = elem2
-        if doc:
-            logger.debug(
-                get_node_concept_path(orig_elem)
-                + "@"
-                + attr
-                + " - ["
-                + get_nx_class(elem)
-                + "]"
-            )
-        nxdl_path.append(elem)
-    else:
-        # if not defined, check for ATTRIBUTENAME to see if the ATTRIBUTE
-        # is in the SCHEMA, but no units category were defined
-        elem2 = get_nxdl_child(elem, attr[:-6], nexus_type="attribute")
-        if elem2 is not None:
-            req_str = "<<RECOMMENDED>>"
-            if doc:
-                logger.debug(
-                    get_node_concept_path(orig_elem)
-                    + "@"
-                    + attr
-                    + " - RECOMMENDED, but undefined unit category"
-                )
-            nxdl_path.append(attr)
-        else:  # otherwise: NOT IN SCHEMA
-            elem = elem2
-            if doc:
-                logger.debug(
-                    get_node_concept_path(orig_elem)
-                    + "@"
-                    + attr
-                    + " - IS NOT IN SCHEMA"
-                )
-    return logger, elem, nxdl_path, doc, attr, req_str
-
-
-def try_find_default(logger, orig_elem, elem, nxdl_path, doc, attr):  # pylint: disable=too-many-arguments
-    """Try to find if default is defined as a child of the NXDL element"""
-    if elem is not None:
-        if doc:
-            logger.debug(
-                get_node_concept_path(orig_elem)
-                + "@"
-                + attr
-                + " - ["
-                + get_nx_class(elem)
-                + "]"
-            )
-        nxdl_path.append(elem)
-    else:  # if no default category were defined in NXDL:
-        if doc:
-            logger.debug(get_node_concept_path(orig_elem) + "@" + attr + " - [NX_CHAR]")
-        nxdl_path.append(attr)
-    return logger, elem, nxdl_path, doc, attr
-
-
-def other_attrs(logger, orig_elem, elem, nxdl_path, doc, attr):  # pylint: disable=too-many-arguments
-    """Handle remaining attributes"""
-    if elem is not None:
-        if doc:
-            logger.debug(
-                get_node_concept_path(orig_elem)
-                + "@"
-                + attr
-                + " - ["
-                + get_nx_class(elem)
-                + "]"
-            )
-        nxdl_path.append(elem)
-    else:
-        if doc:
-            logger.debug(
-                get_node_concept_path(orig_elem) + "@" + attr + " - IS NOT IN SCHEMA"
-            )
-    return logger, elem, nxdl_path, doc, attr
-
-
-def get_node_concept_path(elem):
-    """get the short version of nxdlbase:nxdlpath"""
-    return str(elem.get("nxdlbase").split("/")[-1] + ":" + elem.get("nxdlpath"))
-
-
-def get_doc(node, ntype, nxhtml, nxpath):
-    """Get documentation"""
-    # URL for html documentation
-    anchor = ""
-    for n_item in nxpath:
-        anchor += n_item.lower() + "-"
-    anchor = (
-        "https://manual.nexusformat.org/classes/",
-        nxhtml + "#" + anchor.replace("_", "-") + ntype,
-    )
-    if not ntype:
-        anchor = anchor[:-1]
-    doc = ""  # RST documentation from the field 'doc'
-    doc_field = node.find("doc")
-    if doc_field is not None:
-        doc = doc_field.text
-    (index, enums) = get_enums(node)  # enums
-    if index:
-        enum_str = (
-            "\n "
-            + ("Possible values:" if len(enums.split(",")) > 1 else "Obligatory value:")
-            + "\n   "
-            + enums
-            + "\n"
-        )
-    else:
-        enum_str = ""
-    return anchor, doc + enum_str
-
-
-def print_doc(node, ntype, level, nxhtml, nxpath):
-    """Print documentation"""
-    anchor, doc = get_doc(node, ntype, nxhtml, nxpath)
-    print("  " * (level + 1) + anchor)
-    preferred_width = 80 + level * 2
-    wrapper = textwrap.TextWrapper(
-        initial_indent="  " * (level + 1),
-        width=preferred_width,
-        subsequent_indent="  " * (level + 1),
-        expand_tabs=False,
-        tabsize=0,
-    )
-    if doc is not None:
-        for par in doc.split("\n"):
-            print(wrapper.fill(par))
-
-
-def get_namespace(element):
-    """Extracts the namespace for elements in the NXDL"""
-    return element.tag[element.tag.index("{") : element.tag.rindex("}") + 1]
-
-
-def get_enums(node):
-    """Makes list of enumerations, if node contains any.
-    Returns comma separated STRING of enumeration values, if there are enum tag,
-    otherwise empty string."""
-    # collect item values from enumeration tag, if any
-    namespace = get_namespace(node)
-    enums = []
-    for enumeration in node.findall(f"{namespace}enumeration"):
-        for item in enumeration.findall(f"{namespace}item"):
-            enums.append(item.attrib["value"])
-        enums = ",".join(enums)
-        if enums != "":
-            return (True, "[" + enums + "]")
-    return (False, "")  # if there is no enumeration tag, returns empty string
-
-
-def add_base_classes(elist, nx_name=None, elem: ET.Element = None):
-    """Add the base classes corresponding to the last eleme in elist to the list. Note that if
-    elist is empty, a nxdl file with the name of nx_name or a rather room elem is used if provided"""
-    if elist and nx_name is None:
-        nx_name = get_nx_class(elist[-1])
-    # to support recursive defintions, like NXsample in NXsample, the following test is removed
-    # if elist and nx_name and f"{nx_name}.nxdl.xml" in (e.get('nxdlbase') for e in elist):
-    #     return
-    if elem is None:
-        if not nx_name:
-            return
-        nxdl_file_path = find_definition_file(nx_name)
-        if nxdl_file_path is None:
-            nxdl_file_path = f"{nx_name}.nxdl.xml"
-        elem = ET.parse(nxdl_file_path).getroot()
-        elem.set("nxdlbase", nxdl_file_path)
-    else:
-        elem.set("nxdlbase", "")
-    if "category" in elem.attrib:
-        elem.set("nxdlbase_class", elem.attrib["category"])
-    elem.set("nxdlpath", "")
-    elist.append(elem)
-    # add inherited base class
-    if "extends" in elem.attrib and elem.attrib["extends"] != "NXobject":
-        add_base_classes(elist, elem.attrib["extends"])
-    else:
-        add_base_classes(elist)
-
-
-def set_nxdlpath(child, nxdl_elem):
-    """
-    Setting up child nxdlbase, nxdlpath and nxdlbase_class from nxdl_element.
-    """
-    if nxdl_elem.get("nxdlbase"):
-        child.set("nxdlbase", nxdl_elem.get("nxdlbase"))
-        child.set("nxdlbase_class", nxdl_elem.get("nxdlbase_class"))
-        child.set("nxdlpath", nxdl_elem.get("nxdlpath") + "/" + get_node_name(child))
-    return child
-
-
-def get_direct_child(nxdl_elem, html_name):
-    """returns the child of nxdl_elem which has a name
-    corresponding to the the html documentation name html_name"""
-    for child in nxdl_elem:
-        if get_local_name_from_xml(child) in (
-            "group",
-            "field",
-            "attribute",
-        ) and html_name == get_node_name(child):
-            decorated_child = set_nxdlpath(child, nxdl_elem)
-            return decorated_child
-    return None
-
-
-def get_field_child(nxdl_elem, html_name):
-    """returns the child of nxdl_elem which has a name
-    corresponding to the html documentation name html_name"""
-    data_child = None
-    for child in nxdl_elem:
-        if get_local_name_from_xml(child) != "field":
-            continue
-        if get_node_name(child) == html_name:
-            data_child = set_nxdlpath(child, nxdl_elem)
-            break
-    return data_child
-
-
-def get_best_nxdata_child(nxdl_elem, hdf_node, hdf_name):
-    """returns the child of an NXdata nxdl_elem which has a name
-    corresponding to the hdf_name"""
-    nxdata = hdf_node.parent
-    signals = []
-    if "signal" in nxdata.attrs.keys():
-        signals.append(nxdata.attrs.get("signal"))
-    if "auxiliary_signals" in nxdata.attrs.keys():
-        for aux_signal in nxdata.attrs.get("auxiliary_signals"):
-            signals.append(aux_signal)
-    data_child = get_field_child(nxdl_elem, "DATA")
-    data_error_child = get_field_child(nxdl_elem, "FIELDNAME_errors")
-    for signal in signals:
-        if signal == hdf_name:
-            return (data_child, 100)
-        if hdf_name.endswith("_errors") and signal == hdf_name[:-7]:
-            return (data_error_child, 100)
-    axes = []
-    if "axes" in nxdata.attrs.keys():
-        for axis in nxdata.attrs.get("axes"):
-            axes.append(axis)
-    axis_child = get_field_child(nxdl_elem, "AXISNAME")
-    for axis in axes:
-        if axis == hdf_name:
-            return (axis_child, 100)
-    return (None, 0)
-
-
-def get_best_child(nxdl_elem, hdf_node, hdf_name, hdf_class_name, nexus_type):
-    """returns the child of nxdl_elem which has a name
-    corresponding to the the html documentation name html_name"""
-    bestfit = -1
-    bestchild = None
-    if (
-        "name" in nxdl_elem.attrib.keys()
-        and nxdl_elem.attrib["name"] == "NXdata"
-        and hdf_node is not None
-        and hdf_node.parent is not None
-        and hdf_node.parent.attrs.get("NX_class") == "NXdata"
-    ):
-        (fnd_child, fit) = get_best_nxdata_child(nxdl_elem, hdf_node, hdf_name)
-        if fnd_child is not None:
-            return (fnd_child, fit)
-    for child in nxdl_elem:
-        fit = -2
-        if get_local_name_from_xml(child) == nexus_type and (
-            nexus_type != "group" or get_nx_class(child) == hdf_class_name
-        ):
-            name_any = (
-                "nameType" in nxdl_elem.attrib.keys()
-                and nxdl_elem.attrib["nameType"] == "any"
-            )
-            fit = get_nx_namefit(hdf_name, get_node_name(child), name_any)
-        if fit > bestfit:
-            bestfit = fit
-            bestchild = set_nxdlpath(child, nxdl_elem)
-    return (bestchild, bestfit)
-
-
-def walk_elist(elist, html_name):
-    """Handle elist from low priority inheritance classes to higher"""
-    for ind in range(len(elist) - 1, -1, -1):
-        child = get_direct_child(elist[ind], html_name)
-        if child is None:
-            # check for names fitting to a superclas definition
-            main_child = None
-            for potential_direct_parent in elist:
-                main_child = get_direct_child(potential_direct_parent, html_name)
-                if main_child is not None:
-                    (fitting_child, _) = get_best_child(
-                        elist[ind],
-                        None,
-                        html_name,
-                        get_nx_class(main_child),
-                        get_local_name_from_xml(main_child),
-                    )
-                    if fitting_child is not None:
-                        child = fitting_child
-                    break
-        elist[ind] = child
-        if elist[ind] is None:
-            del elist[ind]
-            continue
-        # override: remove low priority inheritance classes if class_type is overriden
-        if len(elist) > ind + 1 and get_nx_class(elist[ind]) != get_nx_class(
-            elist[ind + 1]
-        ):
-            del elist[ind + 1 :]
-        # add new base class(es) if new element brings such (and not a primitive type)
-        if len(elist) == ind + 1 and get_nx_class(elist[ind])[0:3] != "NX_":
-            add_base_classes(elist)
-    return elist, html_name
-
-
-@lru_cache(maxsize=None)
-def get_inherited_nodes(
-    nxdl_path: str = None,  # pylint: disable=too-many-arguments,too-many-locals
-    nx_name: str = None,
-    elem: ET.Element = None,
-    attr=False,
-):  # pylint: disable=unused-argument
-    """Returns a list of ET.Element for the given path."""
-    # let us start with the given definition file
-    elist = []  # type: ignore[var-annotated]
-    add_base_classes(elist, nx_name, elem)
-    nxdl_elem_path = [elist[0]]
-
-    class_path = []  # type: ignore[var-annotated]
-    html_path = nxdl_path.split("/")[1:]
-    path = html_path
-    for pind in range(len(path)):
-        html_name = html_path[pind]
-        # pylint: disable=duplicate-code
-        elist, html_name = walk_elist(elist, html_name)
-        if elist:
-            class_path.append(get_nx_class(elist[0]))
-            nxdl_elem_path.append(elist[0])
-    return (class_path, nxdl_elem_path, elist)
-
-
-def get_node_at_nxdl_path(
-    nxdl_path: str = None,
-    nx_name: str = None,
-    elem: ET.Element = None,
-    exc: bool = True,
-):
-    """Returns an ET.Element for the given path.
-    This function either takes the name for the NeXus Application Definition
-    we are looking for or the root elem from a previously loaded NXDL file
-    and finds the corresponding XML element with the needed attributes."""
-    try:
-        if nxdl_path.count("/") == 1 and nxdl_path not in ("/ENTRY", "/entry"):
-            elem = None
-            nx_name = "NXroot"
-        (class_path, nxdlpath, elist) = get_inherited_nodes(nxdl_path, nx_name, elem)
-    except ValueError as value_error:
-        if exc:
-            raise NxdlAttributeError(
-                f"Attributes were not found for {nxdl_path}. "
-                "Please check this entry in the template dictionary."
-            ) from value_error
-        return None
-    if class_path and nxdlpath and elist:
-        elem = elist[0]
-    else:
-        elem = None
-        if exc:
-            raise NxdlAttributeError(
-                f"Attributes were not found for {nxdl_path}. "
-                "Please check this entry in the template dictionary."
-            )
-    return elem
diff --git a/tests/nexus/test_nexus.py b/tests/nexus/test_nexus.py
index 072139333..4c7946541 100644
--- a/tests/nexus/test_nexus.py
+++ b/tests/nexus/test_nexus.py
@@ -21,7 +21,8 @@
 
 import logging
 import os
-import xml.etree.ElementTree as ET
+
+import lxml.etree as ET
 
 from pynxtools.nexus import nexus
 
@@ -110,6 +111,22 @@ def test_get_node_at_nxdl_path():
     node = nexus.get_node_at_nxdl_path("/ENTRY/measurement", elem=elem)
     assert node.attrib["type"] == "NXevent_data_em_set"
 
+    node = nexus.get_node_at_nxdl_path(
+        "/ENTRY/measurement/EVENT_DATA_EM/SPECTRUM_SET/collection", elem=elem
+    )
+    assert node.attrib["type"] == "NXdata"
+
+    node = nexus.get_node_at_nxdl_path(
+        "/ENTRY/measurement/EVENT_DATA_EM/SPECTRUM_SET/collection/DATA", elem=elem
+    )
+    assert node.attrib["type"] == "NX_NUMBER"
+
+    node = nexus.get_node_at_nxdl_path(
+        "/ENTRY/measurement/EVENT_DATA_EM/SPECTRUM_SET/collection/AXISNAME_indices",
+        elem=elem,
+    )
+    assert node.attrib["name"] == "AXISNAME_indices"
+
     node = nexus.get_node_at_nxdl_path("/ENTRY/COORDINATE_SYSTEM_SET", elem=elem)
     assert node.attrib["type"] == "NXcoordinate_system_set"
 

From 3cfa6f14b01d8b684d8f83d5131a014709e65d1c Mon Sep 17 00:00:00 2001
From: Sandor Brockhauser <sandor.brockhauser@xfel.eu>
Date: Mon, 25 Mar 2024 20:07:07 +0100
Subject: [PATCH 35/58] add lxml min requirement

---
 pynxtools/definitions | 2 +-
 pyproject.toml        | 6 +++++-
 2 files changed, 6 insertions(+), 2 deletions(-)

diff --git a/pynxtools/definitions b/pynxtools/definitions
index c72643416..c880e390d 160000
--- a/pynxtools/definitions
+++ b/pynxtools/definitions
@@ -1 +1 @@
-Subproject commit c72643416ca2a90b674d61a6f76c0ac5371cd842
+Subproject commit c880e390ddd62ef92a09dcb307681d357e6bb913
diff --git a/pyproject.toml b/pyproject.toml
index 622712002..42dbe885f 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -5,7 +5,7 @@ build-backend = "_build_wrapper"
 
 [project]
 name = "pynxtools"
-dynamic = ["version"]
+dynamic = ["version", "dependencies"]
 authors = [
     { name = "The NOMAD Authors" },
 ]
@@ -33,6 +33,7 @@ dependencies = [
     "ase>=3.19.0",
     "mergedeep",
     "importlib-metadata",
+    "lxml>=4.9.1", 
 ]
 
 [project.urls]
@@ -92,6 +93,9 @@ pynxtools = ["definitions/**/*.xml", "definitions/**/*.xsd"]
 [tool.setuptools.packages.find]
 exclude = ["pynxtools/definitions*"]
 
+[tool.setuptools.dynamic]
+dependencies = {file = ["requirements.txt"]}
+
 [tool.setuptools_scm]
 version_scheme = "no-guess-dev"
 local_scheme = "node-and-date"

From 5aff2823c1c261fad2eb55abee21669cef98a0c1 Mon Sep 17 00:00:00 2001
From: Sandor Brockhauser <sandor.brockhauser@xfel.eu>
Date: Mon, 25 Mar 2024 20:10:28 +0100
Subject: [PATCH 36/58] removing dynamic dependencies

---
 pyproject.toml | 5 +----
 1 file changed, 1 insertion(+), 4 deletions(-)

diff --git a/pyproject.toml b/pyproject.toml
index 42dbe885f..989174e1a 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -5,7 +5,7 @@ build-backend = "_build_wrapper"
 
 [project]
 name = "pynxtools"
-dynamic = ["version", "dependencies"]
+dynamic = ["version"]
 authors = [
     { name = "The NOMAD Authors" },
 ]
@@ -93,9 +93,6 @@ pynxtools = ["definitions/**/*.xml", "definitions/**/*.xsd"]
 [tool.setuptools.packages.find]
 exclude = ["pynxtools/definitions*"]
 
-[tool.setuptools.dynamic]
-dependencies = {file = ["requirements.txt"]}
-
 [tool.setuptools_scm]
 version_scheme = "no-guess-dev"
 local_scheme = "node-and-date"

From b1f490c40803fe8893a03f50aaa0f5581a86cb43 Mon Sep 17 00:00:00 2001
From: Sandor Brockhauser <sandor.brockhauser@xfel.eu>
Date: Mon, 25 Mar 2024 20:22:17 +0100
Subject: [PATCH 37/58] updating NxdlAttribute exception

---
 pynxtools/dataconverter/helpers.py | 4 ++--
 pynxtools/dataconverter/writer.py  | 4 ++--
 2 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/pynxtools/dataconverter/helpers.py b/pynxtools/dataconverter/helpers.py
index 9ea259296..2b15e68d0 100644
--- a/pynxtools/dataconverter/helpers.py
+++ b/pynxtools/dataconverter/helpers.py
@@ -30,7 +30,7 @@
 
 from pynxtools import get_nexus_version, get_nexus_version_hash
 from pynxtools.nexus import nexus
-from pynxtools.nexus.nexus import NxdlAttributeError
+from pynxtools.nexus.nexus import NxdlAttributeNotFoundError
 
 logger = logging.getLogger(__name__)
 logger.setLevel(logging.INFO)
@@ -572,7 +572,7 @@ def try_undocumented(data, nxdl_root: ET.Element):
             if units in data.undocumented:
                 data[get_required_string(elem)][units] = data.undocumented[units]
                 del data.undocumented[units]
-        except NxdlAttributeError:
+        except NxdlAttributeNotFoundError:
             pass
 
 
diff --git a/pynxtools/dataconverter/writer.py b/pynxtools/dataconverter/writer.py
index 6532724e0..75ebf97ec 100644
--- a/pynxtools/dataconverter/writer.py
+++ b/pynxtools/dataconverter/writer.py
@@ -28,8 +28,8 @@
 import numpy as np
 
 from pynxtools.dataconverter import helpers
-from pynxtools.nexus import nexus
 from pynxtools.dataconverter.exceptions import InvalidDictProvided
+from pynxtools.nexus import nexus
 
 logger = logging.getLogger(__name__)  # pylint: disable=C0103
 logger.setLevel(logging.INFO)
@@ -222,7 +222,7 @@ def __nxdl_to_attrs(self, path: str = "/") -> dict:
             elem = nexus.get_node_at_nxdl_path(
                 nxdl_path, elem=copy.deepcopy(self.nxdl_data)
             )
-        except nexus.NxdlAttributeError:
+        except nexus.NxdlAttributeNotFoundError:
             return None
 
         # Remove the name attribute as we only use it to name the HDF5 entry

From 6ba8e2e945c4be3dfa6288080e561d8ba8049d0b Mon Sep 17 00:00:00 2001
From: Sandor Brockhauser <sandor.brockhauser@xfel.eu>
Date: Tue, 26 Mar 2024 12:36:04 +0100
Subject: [PATCH 38/58] change to lxml

---
 pynxtools/dataconverter/helpers.py | 7 ++++++-
 1 file changed, 6 insertions(+), 1 deletion(-)

diff --git a/pynxtools/dataconverter/helpers.py b/pynxtools/dataconverter/helpers.py
index 2b15e68d0..0ed63379f 100644
--- a/pynxtools/dataconverter/helpers.py
+++ b/pynxtools/dataconverter/helpers.py
@@ -20,11 +20,11 @@
 import json
 import logging
 import re
-import xml.etree.ElementTree as ET
 from datetime import datetime, timezone
 from typing import Any, Callable, List, Optional, Tuple, Union
 
 import h5py
+import lxml.etree as ET
 import numpy as np
 from ase.data import chemical_symbols
 
@@ -63,6 +63,9 @@ def get_all_defined_required_children_for_elem(xml_element):
     """Gets all possible inherited required children for a given NXDL element"""
     list_of_children_to_add = set()
     for child in xml_element:
+        tag = remove_namespace_from_tag(child.tag)
+        if tag not in ('group','field','attribute'):
+            continue
         child.set("nxdlbase_class", xml_element.get("nxdlbase_class"))
         if child.attrib and get_required_string(child) == "required":
             tag = remove_namespace_from_tag(child.tag)
@@ -637,6 +640,8 @@ def validate_data_dict(template, data, nxdl_root: ET.Element):
 def remove_namespace_from_tag(tag):
     """Helper function to remove the namespace from an XML tag."""
 
+    if not isinstance(tag,str):
+        return ""
     return tag.split("}")[-1]
 
 

From 7ec6bb69ae6861ceccb4dc914b7df70e40ecd297 Mon Sep 17 00:00:00 2001
From: RubelMozumder <32923026+RubelMozumder@users.noreply.github.com>
Date: Tue, 26 Mar 2024 14:36:56 +0100
Subject: [PATCH 39/58] Including xrd as a plugin. (#291)

* Including xrd as a plugin.

* XRD to convert extra.

* adding xrd in convert extra.
---
 pyproject.toml | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/pyproject.toml b/pyproject.toml
index 622712002..1042181b9 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -60,7 +60,7 @@ dev = [
     "pre-commit",
 ]
 convert = [
-    "pynxtools[apm,em,mpes,xps,stm]",
+    "pynxtools[apm,em,mpes,xps,stm,xrd]",
 ]
 apm = [
     "pynxtools-apm",
@@ -77,6 +77,9 @@ xps = [
 stm = [
     "pynxtools-stm",
 ]
+xrd = [
+    "pynxtools-xrd",
+]
 
 [project.scripts]
 read_nexus = "pynxtools.nexus.nexus:main"

From eacb5cec32cd40c797b39be2ddc64182798be4e5 Mon Sep 17 00:00:00 2001
From: Lukas Pielsticker <50139597+lukaspie@users.noreply.github.com>
Date: Wed, 27 Mar 2024 10:07:54 +0100
Subject: [PATCH 40/58] remove folder that was missed during pluginisation
 (#298)

---
 pynxtools/dataconverter/readers/xps/README.md | 42 -------------------
 1 file changed, 42 deletions(-)
 delete mode 100644 pynxtools/dataconverter/readers/xps/README.md

diff --git a/pynxtools/dataconverter/readers/xps/README.md b/pynxtools/dataconverter/readers/xps/README.md
deleted file mode 100644
index 0b507c06b..000000000
--- a/pynxtools/dataconverter/readers/xps/README.md
+++ /dev/null
@@ -1,42 +0,0 @@
-# XPS reader
-
-## Purpose
-Translate diverse file formats from the scientific community and technology partners
-within the field of X-ray photoelectron spectroscopy into a standardized representation using the
-[NeXus](https://www.nexusformat.org/) application definition [NXmpes](https://fairmat-nfdi.github.io/nexus_definitions/classes/contributed_definitions/NXmpes.html#nxmpes).
-
-## Supported file formats
-The reader decides which parser to use based on the file extension of the files provided. For the main XPS files, the following file extensions are supported:
-- .sle: [SpecsLabProdigy](https://www.specs-group.com/nc/specs/products/detail/prodigy/) files, propietary format of SPECS GmbH (v1.6)
-- .xml: SpecsLab 2files, XML format from SPECS GmbH (v1.6)
-- .vms: VAMAS files, ISO standard data transfer format ([ISO 14976](https://www.iso.org/standard/24269.html)), both in regular and irregular format
-- .xy: SpecsLabProdigy export format in XY format (including all export settings)
-- .txt:
-  - exported by [Scienta Omicron](https://scientaomicron.com/en) instruments
-  - exported by [CasaXPS](https://www.casaxps.com/) analysis software
-
-We are continously working on adding parsers for other data formats and technology partners. If you would like to implement a parser for your data, feel free to get in contact.
-
-## Getting started
-An example script to run the XPS reader:
-```sh
- ! dataconverter \
---reader xps \
---nxdl NXmpes \
-$<xps-file path> \
-$<eln-file path> \
---output <output-file path>.test.nxs
-```
-Note that none of the supported file format have data/values for all required and recommended fields and attributes in NXmpes. In order for the validation step of the **XPS** reader to pass,
-you need to provide an ELN file that contains the missing values. An example can be found in  [*pynxtools/examples/xps*]().
-
-## Development Notes
-The development process is modular so that new parsers can be added. The read logic is the following.
-1. First, [*XpsDataFileParser*]([https://github.com/FAIRmat-NFDI/pynxtools/blob/master/pynxtools/dataconverter/readers/xps/file_parser.py#L39]) selects the proper parser based on the file extensions
-of the provided files. It then calls a sub-parser that can read files with such extensions and calls the *parse_file* function of that reader. In addition, it selects a proper config file from
-the *config* subfolder.
-2. Afterwards, the NXmpes nxdl template is filled with the data in *XpsDataFileParser* using the *config* file. Data that is not in the given main files can be added through the ELN file (and must
-be added for required fields in NXmpes).
-
-## Contact person in FAIRmat for this reader
-Lukas Pielsticker

From 5014593e5f4fbc2067ee86b42b3d5d2d14501cb9 Mon Sep 17 00:00:00 2001
From: RubelMozumder <32923026+RubelMozumder@users.noreply.github.com>
Date: Wed, 27 Mar 2024 12:14:37 +0100
Subject: [PATCH 41/58] Adding XRD plugin (#296)

* Removing pynxtools-em from plugin list as it is not published in PyPI.

* Removing pynxtools-em from plugin list as it is not published in PyPI.

* Removing pynxtools-apm from plugin list as it is not published in PyPI.

* Remove xrd as to install it in edit mode.

* Adding  xrd as plugin.
---
 pyproject.toml | 9 ++-------
 1 file changed, 2 insertions(+), 7 deletions(-)

diff --git a/pyproject.toml b/pyproject.toml
index 1042181b9..589d9391a 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -60,13 +60,7 @@ dev = [
     "pre-commit",
 ]
 convert = [
-    "pynxtools[apm,em,mpes,xps,stm,xrd]",
-]
-apm = [
-    "pynxtools-apm",
-]
-em = [
-    "pynxtools-em",
+    "pynxtools[mpes,xps,stm,xrd]",
 ]
 mpes = [
     "pynxtools-mpes",
@@ -81,6 +75,7 @@ xrd = [
     "pynxtools-xrd",
 ]
 
+
 [project.scripts]
 read_nexus = "pynxtools.nexus.nexus:main"
 dataconverter = "pynxtools.dataconverter.convert:main_cli"

From de9e84b45c2f7ecb42ce1e95c1ac09d716e16cef Mon Sep 17 00:00:00 2001
From: mkuehbach <markus.kuehbach@physik.hu-berlin.de>
Date: Wed, 27 Mar 2024 14:35:48 +0100
Subject: [PATCH 42/58] Updated NeXus definitions, reversion of entryID

---
 pynxtools/definitions | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pynxtools/definitions b/pynxtools/definitions
index c880e390d..17f71693e 160000
--- a/pynxtools/definitions
+++ b/pynxtools/definitions
@@ -1 +1 @@
-Subproject commit c880e390ddd62ef92a09dcb307681d357e6bb913
+Subproject commit 17f71693e6ee5614d371a530b20e538e2c98b86d

From 691169a0df84ae341965c235851cbcda9392d717 Mon Sep 17 00:00:00 2001
From: mkuehbach <markus.kuehbach@physik.hu-berlin.de>
Date: Wed, 27 Mar 2024 15:20:38 +0100
Subject: [PATCH 43/58] ruff format pynxtools tests

---
 pynxtools/__init__.py                          |  3 +--
 pynxtools/_build_wrapper.py                    |  1 +
 pynxtools/dataconverter/convert.py             |  1 +
 pynxtools/dataconverter/hdfdict.py             |  1 +
 pynxtools/dataconverter/helpers.py             |  4 ++--
 pynxtools/dataconverter/readers/base/reader.py |  1 +
 pynxtools/dataconverter/readers/ellips/mock.py |  1 +
 .../dataconverter/readers/ellips/reader.py     | 13 +++++++------
 .../dataconverter/readers/example/reader.py    | 13 +++++++------
 .../dataconverter/readers/json_map/reader.py   |  1 +
 .../dataconverter/readers/json_yml/reader.py   |  1 +
 pynxtools/dataconverter/readers/utils.py       |  1 +
 pynxtools/nexus/__init__.py                    |  4 +---
 pynxtools/nexus/nexus.py                       |  3 +--
 tests/dataconverter/test_helpers.py            | 18 +++++++++---------
 tests/eln_mapper/test_eln_mapper.py            |  4 +---
 tests/nexus/test_nexus.py                      |  4 +---
 tests/nexus/test_version.py                    |  1 +
 18 files changed, 39 insertions(+), 36 deletions(-)

diff --git a/pynxtools/__init__.py b/pynxtools/__init__.py
index 12b6f64ba..611245f3f 100644
--- a/pynxtools/__init__.py
+++ b/pynxtools/__init__.py
@@ -1,6 +1,5 @@
-"""init file
+"""init file"""
 
-"""
 #
 # Copyright The NOMAD Authors.
 #
diff --git a/pynxtools/_build_wrapper.py b/pynxtools/_build_wrapper.py
index d7788860d..ababdb96f 100644
--- a/pynxtools/_build_wrapper.py
+++ b/pynxtools/_build_wrapper.py
@@ -2,6 +2,7 @@
 Build wrapper for setuptools to create a nexus-version.txt file
 containing the nexus definitions verison.
 """
+
 import os
 from subprocess import CalledProcessError, run
 from typing import Optional
diff --git a/pynxtools/dataconverter/convert.py b/pynxtools/dataconverter/convert.py
index c65481afd..fcbb30bae 100644
--- a/pynxtools/dataconverter/convert.py
+++ b/pynxtools/dataconverter/convert.py
@@ -16,6 +16,7 @@
 # limitations under the License.
 #
 """This script runs the conversion routine using a selected reader and write out a NeXus file."""
+
 import glob
 import importlib.machinery
 import importlib.util
diff --git a/pynxtools/dataconverter/hdfdict.py b/pynxtools/dataconverter/hdfdict.py
index 3292e457f..c4b61a4a4 100644
--- a/pynxtools/dataconverter/hdfdict.py
+++ b/pynxtools/dataconverter/hdfdict.py
@@ -1,5 +1,6 @@
 # -*- coding: utf-8 -*-
 """Taken from: https://github.com/SiggiGue/hdfdict/blob/master/hdfdict/hdfdict.py"""
+
 from collections import UserDict
 from contextlib import contextmanager
 from datetime import datetime
diff --git a/pynxtools/dataconverter/helpers.py b/pynxtools/dataconverter/helpers.py
index 0ed63379f..ce7f4e754 100644
--- a/pynxtools/dataconverter/helpers.py
+++ b/pynxtools/dataconverter/helpers.py
@@ -64,7 +64,7 @@ def get_all_defined_required_children_for_elem(xml_element):
     list_of_children_to_add = set()
     for child in xml_element:
         tag = remove_namespace_from_tag(child.tag)
-        if tag not in ('group','field','attribute'):
+        if tag not in ("group", "field", "attribute"):
             continue
         child.set("nxdlbase_class", xml_element.get("nxdlbase_class"))
         if child.attrib and get_required_string(child) == "required":
@@ -640,7 +640,7 @@ def validate_data_dict(template, data, nxdl_root: ET.Element):
 def remove_namespace_from_tag(tag):
     """Helper function to remove the namespace from an XML tag."""
 
-    if not isinstance(tag,str):
+    if not isinstance(tag, str):
         return ""
     return tag.split("}")[-1]
 
diff --git a/pynxtools/dataconverter/readers/base/reader.py b/pynxtools/dataconverter/readers/base/reader.py
index 8f1f51fe6..2aaec5d8d 100644
--- a/pynxtools/dataconverter/readers/base/reader.py
+++ b/pynxtools/dataconverter/readers/base/reader.py
@@ -16,6 +16,7 @@
 # limitations under the License.
 #
 """The abstract class off of which to implement readers."""
+
 from abc import ABC, abstractmethod
 from typing import Tuple, Any
 
diff --git a/pynxtools/dataconverter/readers/ellips/mock.py b/pynxtools/dataconverter/readers/ellips/mock.py
index 05b790b67..92aa6a5eb 100644
--- a/pynxtools/dataconverter/readers/ellips/mock.py
+++ b/pynxtools/dataconverter/readers/ellips/mock.py
@@ -16,6 +16,7 @@
 #
 
 """A generic class for generating duplicate outputs for ellipsometry"""
+
 import random
 import numpy as np
 import ase
diff --git a/pynxtools/dataconverter/readers/ellips/reader.py b/pynxtools/dataconverter/readers/ellips/reader.py
index 4a883ea24..7793604f9 100644
--- a/pynxtools/dataconverter/readers/ellips/reader.py
+++ b/pynxtools/dataconverter/readers/ellips/reader.py
@@ -16,6 +16,7 @@
 # limitations under the License.
 #
 """An example reader implementation for the DataConverter."""
+
 import math
 import os
 from importlib.metadata import PackageNotFoundError, version
@@ -439,9 +440,9 @@ def read(
                 # using a proper unit parsing logic
                 template[f"/ENTRY[entry]/plot/DATA[{key}]/@units"] = "degree"
                 if dindx == 0 and index == 0:
-                    template[
-                        f"/ENTRY[entry]/plot/DATA[{key}]/@long_name"
-                    ] = f"{plot_name} (degree)"
+                    template[f"/ENTRY[entry]/plot/DATA[{key}]/@long_name"] = (
+                        f"{plot_name} (degree)"
+                    )
                 template[f"/ENTRY[entry]/plot/DATA[{key}_errors]"] = {
                     "link": "/entry/data_collection/data_error",
                     "shape": np.index_exp[index, dindx, :],
@@ -472,9 +473,9 @@ def read(
             template["/ENTRY[entry]/program_name/@version"] = version("pynxtools")
         except PackageNotFoundError:
             pass
-        template[
-            "/ENTRY[entry]/program_name/@url"
-        ] = "https://github.com/FAIRmat-NFDI/pynxtools"
+        template["/ENTRY[entry]/program_name/@url"] = (
+            "https://github.com/FAIRmat-NFDI/pynxtools"
+        )
 
         return template
 
diff --git a/pynxtools/dataconverter/readers/example/reader.py b/pynxtools/dataconverter/readers/example/reader.py
index 7236b3bae..d80de3065 100644
--- a/pynxtools/dataconverter/readers/example/reader.py
+++ b/pynxtools/dataconverter/readers/example/reader.py
@@ -17,6 +17,7 @@
 
 #
 """An example reader implementation for the DataConverter."""
+
 import json
 import os
 from typing import Any, Tuple
@@ -101,9 +102,9 @@ def read(
                 f"{my_path}/xarray_saved_small_calibration.h5:/axes/ax2",
             ]
         }
-        template[
-            "/ENTRY[entry]/test_virtual_dataset/concatenate_datasets"
-        ] = my_datasets
+        template["/ENTRY[entry]/test_virtual_dataset/concatenate_datasets"] = (
+            my_datasets
+        )
 
         # virtual datasets slicing
         my_path = str(f"{os.path.dirname(__file__)}/../../../../tests/data/nexus")
@@ -130,9 +131,9 @@ def read(
         my_compression_dict = {"compress": "string not to be compressed"}
         template["/ENTRY[entry]/test_compression/not_to_compress"] = my_compression_dict
         my_compression_dict2 = {"compress": np.array([1, 2, 3, 4])}
-        template[
-            "/ENTRY[entry]/test_compression/compressed_data"
-        ] = my_compression_dict2
+        template["/ENTRY[entry]/test_compression/compressed_data"] = (
+            my_compression_dict2
+        )
 
         # sh = h5py.File(file_names_to_concatenate[0], 'r')[entry_key].shape
         # layout = h5py.VirtualLayout(shape=(len(file_names_to_concatenate),) + sh,
diff --git a/pynxtools/dataconverter/readers/json_map/reader.py b/pynxtools/dataconverter/readers/json_map/reader.py
index c7e3ef0bc..aa8664df3 100644
--- a/pynxtools/dataconverter/readers/json_map/reader.py
+++ b/pynxtools/dataconverter/readers/json_map/reader.py
@@ -16,6 +16,7 @@
 # limitations under the License.
 #
 """An example reader implementation for the DataConverter."""
+
 import json
 import pickle
 from typing import Any, Tuple
diff --git a/pynxtools/dataconverter/readers/json_yml/reader.py b/pynxtools/dataconverter/readers/json_yml/reader.py
index 64491d933..1c7c8ac92 100644
--- a/pynxtools/dataconverter/readers/json_yml/reader.py
+++ b/pynxtools/dataconverter/readers/json_yml/reader.py
@@ -16,6 +16,7 @@
 # limitations under the License.
 #
 """An example reader implementation for the DataConverter."""
+
 from typing import Tuple, Any, Callable, Dict, List
 import os
 
diff --git a/pynxtools/dataconverter/readers/utils.py b/pynxtools/dataconverter/readers/utils.py
index 1eecc99ef..dbeed6f3d 100644
--- a/pynxtools/dataconverter/readers/utils.py
+++ b/pynxtools/dataconverter/readers/utils.py
@@ -16,6 +16,7 @@
 # limitations under the License.
 #
 """Utility functions for the NeXus reader classes."""
+
 import json
 import logging
 import re
diff --git a/pynxtools/nexus/__init__.py b/pynxtools/nexus/__init__.py
index 2290aef3b..59357524f 100644
--- a/pynxtools/nexus/__init__.py
+++ b/pynxtools/nexus/__init__.py
@@ -1,6 +1,4 @@
-"""init file
-
-"""
+"""init file"""
 #
 # Copyright The NOMAD Authors.
 #
diff --git a/pynxtools/nexus/nexus.py b/pynxtools/nexus/nexus.py
index c10b728ba..7277bce48 100644
--- a/pynxtools/nexus/nexus.py
+++ b/pynxtools/nexus/nexus.py
@@ -1,6 +1,5 @@
 # pylint: disable=too-many-lines
-"""Read files from different format and print it in a standard NeXus format
-"""
+"""Read files from different format and print it in a standard NeXus format"""
 
 import logging
 import os
diff --git a/tests/dataconverter/test_helpers.py b/tests/dataconverter/test_helpers.py
index 5956eab26..c04fa1309 100644
--- a/tests/dataconverter/test_helpers.py
+++ b/tests/dataconverter/test_helpers.py
@@ -193,15 +193,15 @@ def fixture_filled_test_data(template, tmp_path):
 TEMPLATE["required"]["/ENTRY[my_entry]/definition/@version"] = "2.4.6"  # pylint: disable=E1126
 TEMPLATE["required"]["/ENTRY[my_entry]/program_name"] = "Testing program"  # pylint: disable=E1126
 TEMPLATE["required"]["/ENTRY[my_entry]/NXODD_name/type"] = "2nd type"  # pylint: disable=E1126
-TEMPLATE["required"][
-    "/ENTRY[my_entry]/NXODD_name/date_value"
-] = "2022-01-22T12:14:12.05018+00:00"  # pylint: disable=E1126
-TEMPLATE["optional"][
-    "/ENTRY[my_entry]/required_group/description"
-] = "An example description"
-TEMPLATE["optional"][
-    "/ENTRY[my_entry]/required_group2/description"
-] = "An example description"
+TEMPLATE["required"]["/ENTRY[my_entry]/NXODD_name/date_value"] = (
+    "2022-01-22T12:14:12.05018+00:00"  # pylint: disable=E1126
+)
+TEMPLATE["optional"]["/ENTRY[my_entry]/required_group/description"] = (
+    "An example description"
+)
+TEMPLATE["optional"]["/ENTRY[my_entry]/required_group2/description"] = (
+    "An example description"
+)
 TEMPLATE["required"][
     "/ENTRY[my_entry]/optional_parent/req_group_in_opt_group/DATA[data]"
 ] = 1
diff --git a/tests/eln_mapper/test_eln_mapper.py b/tests/eln_mapper/test_eln_mapper.py
index a93d91cac..8fe8b7214 100644
--- a/tests/eln_mapper/test_eln_mapper.py
+++ b/tests/eln_mapper/test_eln_mapper.py
@@ -1,5 +1,4 @@
-"""This test is dedicated generate_eln converter tool.
-"""
+"""This test is dedicated generate_eln converter tool."""
 
 # Copyright The NOMAD Authors.
 #
@@ -18,7 +17,6 @@
 # limitations under the License.
 #
 
-
 import os
 from typing import Dict
 
diff --git a/tests/nexus/test_nexus.py b/tests/nexus/test_nexus.py
index 4c7946541..2553abeb1 100644
--- a/tests/nexus/test_nexus.py
+++ b/tests/nexus/test_nexus.py
@@ -1,6 +1,4 @@
-"""This is a code that performs several tests on nexus tool
-
-"""
+"""This is a code that performs several tests on nexus tool"""
 #
 # Copyright The NOMAD Authors.
 #
diff --git a/tests/nexus/test_version.py b/tests/nexus/test_version.py
index 3fa915ce3..10cf57655 100644
--- a/tests/nexus/test_version.py
+++ b/tests/nexus/test_version.py
@@ -1,6 +1,7 @@
 """
 Tests the version retrieval for the nexus definitions submodule
 """
+
 import re
 
 from pynxtools import get_nexus_version

From d9350606ac08d041874a3bc7ad84d4eda29d2d00 Mon Sep 17 00:00:00 2001
From: mkuehbach <markus.kuehbach@physik.hu-berlin.de>
Date: Wed, 27 Mar 2024 16:44:26 +0100
Subject: [PATCH 44/58] Reverted nxdefs to use those of the current pynxtools
 master branch nexus_definitions fairmat commit 7a476095 because the
 plugin-specific feature branch here should ideally have proposed which
 nexus_definitions is to be used to make the apm plugin working with the other
 plugins, but in the process issues with duplicate nexus concept resolving
 code was spotted that was fixed also with this branch

---
 pynxtools/definitions | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pynxtools/definitions b/pynxtools/definitions
index 17f71693e..7a4760953 160000
--- a/pynxtools/definitions
+++ b/pynxtools/definitions
@@ -1 +1 @@
-Subproject commit 17f71693e6ee5614d371a530b20e538e2c98b86d
+Subproject commit 7a47609530ec312fcb7dd6fad6f2194d0cadc4c6

From 5f6cbdb889bfc61af9ea0ebeb196cff7b2259c80 Mon Sep 17 00:00:00 2001
From: mkuehbach <markus.kuehbach@physik.hu-berlin.de>
Date: Wed, 27 Mar 2024 16:53:37 +0100
Subject: [PATCH 45/58] Recompiled dev-requirements using pyproject.toml

---
 dev-requirements.txt | 108 ++++++++++++++++++++-----------------------
 1 file changed, 50 insertions(+), 58 deletions(-)

diff --git a/dev-requirements.txt b/dev-requirements.txt
index abf2ec541..6f5f67de1 100644
--- a/dev-requirements.txt
+++ b/dev-requirements.txt
@@ -1,5 +1,5 @@
 #
-# This file is autogenerated by pip-compile with Python 3.10
+# This file is autogenerated by pip-compile with Python 3.11
 # by the following command:
 #
 #    pip-compile --extra=dev --extra=docs --output-file=dev-requirements.txt pyproject.toml
@@ -8,9 +8,9 @@ ase==3.22.1
     # via pynxtools (pyproject.toml)
 babel==2.14.0
     # via mkdocs-material
-build==1.0.3
+build==1.1.1
     # via pip-tools
-certifi==2023.11.17
+certifi==2024.2.2
     # via requests
 cfgv==3.4.0
     # via pre-commit
@@ -26,51 +26,49 @@ click-default-group==1.2.4
     # via pynxtools (pyproject.toml)
 colorama==0.4.6
     # via mkdocs-material
-contourpy==1.1.1
+contourpy==1.2.0
     # via matplotlib
-coverage[toml]==7.3.2
-    # via
-    #   coverage
-    #   pytest-cov
+coverage[toml]==7.4.4
+    # via pytest-cov
 cycler==0.12.1
     # via matplotlib
-distlib==0.3.7
+distlib==0.3.8
     # via virtualenv
-exceptiongroup==1.2.0
-    # via pytest
-filelock==3.13.1
+filelock==3.13.3
     # via virtualenv
-fonttools==4.45.1
+fonttools==4.50.0
     # via matplotlib
 ghp-import==2.1.0
     # via mkdocs
 h5py==3.10.0
     # via pynxtools (pyproject.toml)
-identify==2.5.33
+identify==2.5.35
     # via pre-commit
 idna==3.6
     # via requests
-importlib-metadata==6.8.0
+importlib-metadata==7.1.0
     # via pynxtools (pyproject.toml)
 iniconfig==2.0.0
     # via pytest
-jinja2==3.1.2
+jinja2==3.1.3
     # via
     #   mkdocs
     #   mkdocs-macros-plugin
     #   mkdocs-material
 kiwisolver==1.4.5
     # via matplotlib
-markdown==3.5.2
+lxml==5.1.0
+    # via pynxtools (pyproject.toml)
+markdown==3.6
     # via
     #   mkdocs
     #   mkdocs-material
     #   pymdown-extensions
-markupsafe==2.1.3
+markupsafe==2.1.5
     # via
     #   jinja2
     #   mkdocs
-matplotlib==3.7.4
+matplotlib==3.8.3
     # via ase
 mergedeep==1.3.4
     # via
@@ -83,19 +81,19 @@ mkdocs==1.5.3
     #   pynxtools (pyproject.toml)
 mkdocs-macros-plugin==1.0.5
     # via pynxtools (pyproject.toml)
-mkdocs-material==9.5.10
+mkdocs-material==9.5.15
     # via pynxtools (pyproject.toml)
 mkdocs-material-extensions==1.3.1
     # via
     #   mkdocs-material
     #   pynxtools (pyproject.toml)
-mypy==1.7.1
+mypy==1.9.0
     # via pynxtools (pyproject.toml)
 mypy-extensions==1.0.0
     # via mypy
 nodeenv==1.8.0
     # via pre-commit
-numpy==1.24.4
+numpy==1.26.4
     # via
     #   ase
     #   contourpy
@@ -105,7 +103,7 @@ numpy==1.24.4
     #   pynxtools (pyproject.toml)
     #   scipy
     #   xarray
-packaging==23.2
+packaging==24.0
     # via
     #   build
     #   matplotlib
@@ -114,48 +112,50 @@ packaging==23.2
     #   xarray
 paginate==0.5.6
     # via mkdocs-material
-pandas==2.0.3
+pandas==2.2.1
     # via
     #   pynxtools (pyproject.toml)
     #   xarray
 pathspec==0.12.1
     # via mkdocs
-pillow==10.0.1
+pillow==10.2.0
     # via matplotlib
-pip-tools==7.3.0
+pip-tools==7.4.1
     # via pynxtools (pyproject.toml)
-platformdirs==4.0.0
+platformdirs==4.2.0
     # via
     #   mkdocs
     #   virtualenv
-pluggy==1.3.0
+pluggy==1.4.0
     # via pytest
-pre-commit==3.5.0
+pre-commit==3.7.0
     # via pynxtools (pyproject.toml)
 pygments==2.17.2
     # via mkdocs-material
-pymdown-extensions==10.7
+pymdown-extensions==10.7.1
     # via mkdocs-material
-pyparsing==3.1.1
+pyparsing==3.1.2
     # via matplotlib
 pyproject-hooks==1.0.0
-    # via build
-pytest==7.4.3
+    # via
+    #   build
+    #   pip-tools
+pytest==8.1.1
     # via
     #   pynxtools (pyproject.toml)
     #   pytest-cov
     #   pytest-timeout
-pytest-cov==4.1.0
+pytest-cov==5.0.0
     # via pynxtools (pyproject.toml)
-pytest-timeout==2.2.0
+pytest-timeout==2.3.1
     # via pynxtools (pyproject.toml)
-python-dateutil==2.8.2
+python-dateutil==2.9.0.post0
     # via
     #   ghp-import
     #   matplotlib
     #   mkdocs-macros-plugin
     #   pandas
-pytz==2023.3.post1
+pytz==2024.1
     # via pandas
 pyyaml==6.0.1
     # via
@@ -171,47 +171,39 @@ regex==2023.12.25
     # via mkdocs-material
 requests==2.31.0
     # via mkdocs-material
-ruff==0.1.7
+ruff==0.3.4
     # via pynxtools (pyproject.toml)
-scipy==1.9.1
+scipy==1.12.0
     # via ase
 six==1.16.0
     # via python-dateutil
-structlog==23.2.0
+structlog==24.1.0
     # via pynxtools (pyproject.toml)
 termcolor==2.4.0
     # via mkdocs-macros-plugin
-tomli==2.0.1
-    # via
-    #   build
-    #   coverage
-    #   mypy
-    #   pip-tools
-    #   pyproject-hooks
-    #   pytest
-types-pytz==2023.3.1.1
+types-pytz==2024.1.0.20240203
     # via pynxtools (pyproject.toml)
-types-pyyaml==6.0.12.12
+types-pyyaml==6.0.12.20240311
     # via pynxtools (pyproject.toml)
-types-requests==2.31.0.10
+types-requests==2.31.0.20240311
     # via pynxtools (pyproject.toml)
-typing-extensions==4.8.0
+typing-extensions==4.10.0
     # via mypy
-tzdata==2023.3
+tzdata==2024.1
     # via pandas
-urllib3==2.1.0
+urllib3==2.2.1
     # via
     #   requests
     #   types-requests
-virtualenv==20.25.0
+virtualenv==20.25.1
     # via pre-commit
 watchdog==4.0.0
     # via mkdocs
-wheel==0.42.0
+wheel==0.43.0
     # via pip-tools
-xarray==2023.1.0
+xarray==2024.2.0
     # via pynxtools (pyproject.toml)
-zipp==3.17.0
+zipp==3.18.1
     # via importlib-metadata
 
 # The following packages are considered to be unsafe in a requirements file:

From 77c93949ab7a373fa01ecea3d1dcbd80c2a9f9b8 Mon Sep 17 00:00:00 2001
From: mkuehbach <markus.kuehbach@physik.hu-berlin.de>
Date: Wed, 27 Mar 2024 17:01:22 +0100
Subject: [PATCH 46/58] Reflected nxdefs reversion in version text artifact

---
 pynxtools/nexus-version.txt | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/pynxtools/nexus-version.txt b/pynxtools/nexus-version.txt
index 7581e6d79..4e2bdb432 100644
--- a/pynxtools/nexus-version.txt
+++ b/pynxtools/nexus-version.txt
@@ -1 +1,2 @@
-v2020.10-1553-g5a57246f
+v2020.10-1462-g7a476095
+

From 503ccf6a90e322cd116298d6e9ae78f467f55b95 Mon Sep 17 00:00:00 2001
From: Florian Dobener <florian.dobener@physik.hu-berlin.de>
Date: Wed, 27 Mar 2024 17:16:37 +0100
Subject: [PATCH 47/58] Update manifest file (#299)

---
 MANIFEST.in | 5 +++++
 1 file changed, 5 insertions(+)

diff --git a/MANIFEST.in b/MANIFEST.in
index 3c768c9ff..ac1dc91cb 100644
--- a/MANIFEST.in
+++ b/MANIFEST.in
@@ -1,3 +1,8 @@
+prune *
+exclude *
+recursive-include pynxtools *.py
+include pyproject.toml LICENSE README.md TROUBLESHOOTING.md dev-requirements.txt
+
 recursive-include pynxtools/definitions/base_classes/ *.xml
 recursive-include pynxtools/definitions/applications/ *.xml
 recursive-include pynxtools/definitions/contributed_definitions/ *.xml

From 9f35dc06e38867e2914a9414928e2cda64d8e219 Mon Sep 17 00:00:00 2001
From: mkuehbach <markus.kuehbach@physik.hu-berlin.de>
Date: Wed, 27 Mar 2024 18:26:56 +0100
Subject: [PATCH 48/58] Bumped nxdefs to da54 fairmat

---
 pynxtools/definitions | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pynxtools/definitions b/pynxtools/definitions
index 7a4760953..da544c9be 160000
--- a/pynxtools/definitions
+++ b/pynxtools/definitions
@@ -1 +1 @@
-Subproject commit 7a47609530ec312fcb7dd6fad6f2194d0cadc4c6
+Subproject commit da544c9be46a0d77d877915f59b3a13b698c0c8f

From efe66b0b3f9aae81187814013597f1a5cdad487f Mon Sep 17 00:00:00 2001
From: mkuehbach <markus.kuehbach@physik.hu-berlin.de>
Date: Wed, 27 Mar 2024 18:31:19 +0100
Subject: [PATCH 49/58] Edited nexus-version.txt artifact

---
 pynxtools/nexus-version.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pynxtools/nexus-version.txt b/pynxtools/nexus-version.txt
index 4e2bdb432..7bde3e7d9 100644
--- a/pynxtools/nexus-version.txt
+++ b/pynxtools/nexus-version.txt
@@ -1,2 +1,2 @@
-v2020.10-1462-g7a476095
+v2020.10-1558-gda544c9b
 

From 9b743529a62b69585311587476c275ae649ab331 Mon Sep 17 00:00:00 2001
From: mkuehbach <markus.kuehbach@physik.hu-berlin.de>
Date: Wed, 27 Mar 2024 18:47:15 +0100
Subject: [PATCH 50/58] Removed blank line

---
 pynxtools/nexus-version.txt | 1 -
 1 file changed, 1 deletion(-)

diff --git a/pynxtools/nexus-version.txt b/pynxtools/nexus-version.txt
index 7bde3e7d9..ade034694 100644
--- a/pynxtools/nexus-version.txt
+++ b/pynxtools/nexus-version.txt
@@ -1,2 +1 @@
 v2020.10-1558-gda544c9b
-

From d77e0ae137587c24941594a294f5b546fa7a78fa Mon Sep 17 00:00:00 2001
From: mkuehbach <markus.kuehbach@physik.hu-berlin.de>
Date: Thu, 28 Mar 2024 13:48:20 +0100
Subject: [PATCH 51/58] Replaced wildcard import with explicit import

---
 pynxtools/__init__.py    |  2 --
 pynxtools/nexus/nexus.py | 21 ++++++++++++++++++++-
 2 files changed, 20 insertions(+), 3 deletions(-)

diff --git a/pynxtools/__init__.py b/pynxtools/__init__.py
index 611245f3f..96bc28680 100644
--- a/pynxtools/__init__.py
+++ b/pynxtools/__init__.py
@@ -1,5 +1,3 @@
-"""init file"""
-
 #
 # Copyright The NOMAD Authors.
 #
diff --git a/pynxtools/nexus/nexus.py b/pynxtools/nexus/nexus.py
index 7277bce48..f5b2adcaf 100644
--- a/pynxtools/nexus/nexus.py
+++ b/pynxtools/nexus/nexus.py
@@ -8,7 +8,26 @@
 import click
 import h5py
 
-from pynxtools.definitions.dev_tools.utils.nxdl_utils import *  # pylint: disable=wildcard-import, unused-wildcard-import
+# from pynxtools.definitions.dev_tools.utils.nxdl_utils import *  # pylint: disable=wildcard-import, unused-wildcard-import
+from pynxtools.definitions.dev_tools.utils.nxdl_utils import (
+    get_hdf_info_parent,
+    get_nxdl_child,
+    get_node_concept_path,
+    get_local_name_from_xml,
+    write_doc_string,
+    try_find_units,
+    check_attr_name_nxdl,
+    get_required_string,
+    get_best_child,
+    get_node_name,
+    add_base_classes,
+    lru_cache,
+    ET,
+    walk_elist,
+    get_nx_class,
+    try_find_default,
+    other_attrs,
+)
 
 
 def get_nxdl_entry(hdf_info):

From 5b6e89790cc674b3558e294f0c0f05e33134dbd2 Mon Sep 17 00:00:00 2001
From: Florian Dobener <florian.dobener@physik.hu-berlin.de>
Date: Thu, 28 Mar 2024 14:53:57 +0100
Subject: [PATCH 52/58] Apply and pin ruff==0.3.4 (#301)

* Apply and pin ruff==0.3.4

* Reset definitions version

* Add additional formatting settings

* Cleanup ruff sections
---
 .pre-commit-config.yaml                       |  2 +-
 dev-requirements.txt                          |  2 +-
 pynxtools/__init__.py                         |  3 +--
 pynxtools/_build_wrapper.py                   |  1 +
 pynxtools/dataconverter/convert.py            |  1 +
 pynxtools/dataconverter/hdfdict.py            |  1 +
 .../dataconverter/readers/base/reader.py      |  1 +
 .../dataconverter/readers/ellips/mock.py      |  1 +
 .../dataconverter/readers/ellips/reader.py    | 13 ++++++------
 .../dataconverter/readers/example/reader.py   | 13 ++++++------
 .../dataconverter/readers/json_map/reader.py  |  1 +
 .../dataconverter/readers/json_yml/reader.py  |  1 +
 pynxtools/dataconverter/readers/utils.py      |  1 +
 pynxtools/nexus/__init__.py                   |  4 +---
 pynxtools/nexus/nexus.py                      |  3 +--
 pynxtools/nexus/nxdl_utils.py                 |  3 +--
 pyproject.toml                                | 21 +++++++++++++------
 tests/dataconverter/test_helpers.py           | 18 ++++++++--------
 tests/eln_mapper/test_eln_mapper.py           |  4 +---
 tests/nexus/test_nexus.py                     |  4 +---
 tests/nexus/test_version.py                   |  1 +
 21 files changed, 55 insertions(+), 44 deletions(-)

diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index a7b191e2d..774bf8cf1 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -1,7 +1,7 @@
 repos:
   - repo: https://github.com/astral-sh/ruff-pre-commit
     # Ruff version.
-    rev: v0.1.7
+    rev: v0.3.4
     hooks:
       # Run the linter.
       - id: ruff
diff --git a/dev-requirements.txt b/dev-requirements.txt
index abf2ec541..781163362 100644
--- a/dev-requirements.txt
+++ b/dev-requirements.txt
@@ -171,7 +171,7 @@ regex==2023.12.25
     # via mkdocs-material
 requests==2.31.0
     # via mkdocs-material
-ruff==0.1.7
+ruff==0.3.4
     # via pynxtools (pyproject.toml)
 scipy==1.9.1
     # via ase
diff --git a/pynxtools/__init__.py b/pynxtools/__init__.py
index 12b6f64ba..611245f3f 100644
--- a/pynxtools/__init__.py
+++ b/pynxtools/__init__.py
@@ -1,6 +1,5 @@
-"""init file
+"""init file"""
 
-"""
 #
 # Copyright The NOMAD Authors.
 #
diff --git a/pynxtools/_build_wrapper.py b/pynxtools/_build_wrapper.py
index d7788860d..ababdb96f 100644
--- a/pynxtools/_build_wrapper.py
+++ b/pynxtools/_build_wrapper.py
@@ -2,6 +2,7 @@
 Build wrapper for setuptools to create a nexus-version.txt file
 containing the nexus definitions verison.
 """
+
 import os
 from subprocess import CalledProcessError, run
 from typing import Optional
diff --git a/pynxtools/dataconverter/convert.py b/pynxtools/dataconverter/convert.py
index c65481afd..fcbb30bae 100644
--- a/pynxtools/dataconverter/convert.py
+++ b/pynxtools/dataconverter/convert.py
@@ -16,6 +16,7 @@
 # limitations under the License.
 #
 """This script runs the conversion routine using a selected reader and write out a NeXus file."""
+
 import glob
 import importlib.machinery
 import importlib.util
diff --git a/pynxtools/dataconverter/hdfdict.py b/pynxtools/dataconverter/hdfdict.py
index 3292e457f..c4b61a4a4 100644
--- a/pynxtools/dataconverter/hdfdict.py
+++ b/pynxtools/dataconverter/hdfdict.py
@@ -1,5 +1,6 @@
 # -*- coding: utf-8 -*-
 """Taken from: https://github.com/SiggiGue/hdfdict/blob/master/hdfdict/hdfdict.py"""
+
 from collections import UserDict
 from contextlib import contextmanager
 from datetime import datetime
diff --git a/pynxtools/dataconverter/readers/base/reader.py b/pynxtools/dataconverter/readers/base/reader.py
index 8f1f51fe6..2aaec5d8d 100644
--- a/pynxtools/dataconverter/readers/base/reader.py
+++ b/pynxtools/dataconverter/readers/base/reader.py
@@ -16,6 +16,7 @@
 # limitations under the License.
 #
 """The abstract class off of which to implement readers."""
+
 from abc import ABC, abstractmethod
 from typing import Tuple, Any
 
diff --git a/pynxtools/dataconverter/readers/ellips/mock.py b/pynxtools/dataconverter/readers/ellips/mock.py
index 05b790b67..92aa6a5eb 100644
--- a/pynxtools/dataconverter/readers/ellips/mock.py
+++ b/pynxtools/dataconverter/readers/ellips/mock.py
@@ -16,6 +16,7 @@
 #
 
 """A generic class for generating duplicate outputs for ellipsometry"""
+
 import random
 import numpy as np
 import ase
diff --git a/pynxtools/dataconverter/readers/ellips/reader.py b/pynxtools/dataconverter/readers/ellips/reader.py
index 4a883ea24..7793604f9 100644
--- a/pynxtools/dataconverter/readers/ellips/reader.py
+++ b/pynxtools/dataconverter/readers/ellips/reader.py
@@ -16,6 +16,7 @@
 # limitations under the License.
 #
 """An example reader implementation for the DataConverter."""
+
 import math
 import os
 from importlib.metadata import PackageNotFoundError, version
@@ -439,9 +440,9 @@ def read(
                 # using a proper unit parsing logic
                 template[f"/ENTRY[entry]/plot/DATA[{key}]/@units"] = "degree"
                 if dindx == 0 and index == 0:
-                    template[
-                        f"/ENTRY[entry]/plot/DATA[{key}]/@long_name"
-                    ] = f"{plot_name} (degree)"
+                    template[f"/ENTRY[entry]/plot/DATA[{key}]/@long_name"] = (
+                        f"{plot_name} (degree)"
+                    )
                 template[f"/ENTRY[entry]/plot/DATA[{key}_errors]"] = {
                     "link": "/entry/data_collection/data_error",
                     "shape": np.index_exp[index, dindx, :],
@@ -472,9 +473,9 @@ def read(
             template["/ENTRY[entry]/program_name/@version"] = version("pynxtools")
         except PackageNotFoundError:
             pass
-        template[
-            "/ENTRY[entry]/program_name/@url"
-        ] = "https://github.com/FAIRmat-NFDI/pynxtools"
+        template["/ENTRY[entry]/program_name/@url"] = (
+            "https://github.com/FAIRmat-NFDI/pynxtools"
+        )
 
         return template
 
diff --git a/pynxtools/dataconverter/readers/example/reader.py b/pynxtools/dataconverter/readers/example/reader.py
index 7236b3bae..d80de3065 100644
--- a/pynxtools/dataconverter/readers/example/reader.py
+++ b/pynxtools/dataconverter/readers/example/reader.py
@@ -17,6 +17,7 @@
 
 #
 """An example reader implementation for the DataConverter."""
+
 import json
 import os
 from typing import Any, Tuple
@@ -101,9 +102,9 @@ def read(
                 f"{my_path}/xarray_saved_small_calibration.h5:/axes/ax2",
             ]
         }
-        template[
-            "/ENTRY[entry]/test_virtual_dataset/concatenate_datasets"
-        ] = my_datasets
+        template["/ENTRY[entry]/test_virtual_dataset/concatenate_datasets"] = (
+            my_datasets
+        )
 
         # virtual datasets slicing
         my_path = str(f"{os.path.dirname(__file__)}/../../../../tests/data/nexus")
@@ -130,9 +131,9 @@ def read(
         my_compression_dict = {"compress": "string not to be compressed"}
         template["/ENTRY[entry]/test_compression/not_to_compress"] = my_compression_dict
         my_compression_dict2 = {"compress": np.array([1, 2, 3, 4])}
-        template[
-            "/ENTRY[entry]/test_compression/compressed_data"
-        ] = my_compression_dict2
+        template["/ENTRY[entry]/test_compression/compressed_data"] = (
+            my_compression_dict2
+        )
 
         # sh = h5py.File(file_names_to_concatenate[0], 'r')[entry_key].shape
         # layout = h5py.VirtualLayout(shape=(len(file_names_to_concatenate),) + sh,
diff --git a/pynxtools/dataconverter/readers/json_map/reader.py b/pynxtools/dataconverter/readers/json_map/reader.py
index c7e3ef0bc..aa8664df3 100644
--- a/pynxtools/dataconverter/readers/json_map/reader.py
+++ b/pynxtools/dataconverter/readers/json_map/reader.py
@@ -16,6 +16,7 @@
 # limitations under the License.
 #
 """An example reader implementation for the DataConverter."""
+
 import json
 import pickle
 from typing import Any, Tuple
diff --git a/pynxtools/dataconverter/readers/json_yml/reader.py b/pynxtools/dataconverter/readers/json_yml/reader.py
index 64491d933..1c7c8ac92 100644
--- a/pynxtools/dataconverter/readers/json_yml/reader.py
+++ b/pynxtools/dataconverter/readers/json_yml/reader.py
@@ -16,6 +16,7 @@
 # limitations under the License.
 #
 """An example reader implementation for the DataConverter."""
+
 from typing import Tuple, Any, Callable, Dict, List
 import os
 
diff --git a/pynxtools/dataconverter/readers/utils.py b/pynxtools/dataconverter/readers/utils.py
index 1eecc99ef..dbeed6f3d 100644
--- a/pynxtools/dataconverter/readers/utils.py
+++ b/pynxtools/dataconverter/readers/utils.py
@@ -16,6 +16,7 @@
 # limitations under the License.
 #
 """Utility functions for the NeXus reader classes."""
+
 import json
 import logging
 import re
diff --git a/pynxtools/nexus/__init__.py b/pynxtools/nexus/__init__.py
index 2290aef3b..59357524f 100644
--- a/pynxtools/nexus/__init__.py
+++ b/pynxtools/nexus/__init__.py
@@ -1,6 +1,4 @@
-"""init file
-
-"""
+"""init file"""
 #
 # Copyright The NOMAD Authors.
 #
diff --git a/pynxtools/nexus/nexus.py b/pynxtools/nexus/nexus.py
index 8f31263ea..b2da63276 100644
--- a/pynxtools/nexus/nexus.py
+++ b/pynxtools/nexus/nexus.py
@@ -1,6 +1,5 @@
 # pylint: disable=too-many-lines
-"""Read files from different format and print it in a standard NeXus format
-"""
+"""Read files from different format and print it in a standard NeXus format"""
 
 import logging
 import os
diff --git a/pynxtools/nexus/nxdl_utils.py b/pynxtools/nexus/nxdl_utils.py
index 48c6e4562..cc9c8a022 100644
--- a/pynxtools/nexus/nxdl_utils.py
+++ b/pynxtools/nexus/nxdl_utils.py
@@ -1,6 +1,5 @@
 # pylint: disable=too-many-lines
-"""Parse NeXus definition files
-"""
+"""Parse NeXus definition files"""
 
 import os
 import xml.etree.ElementTree as ET
diff --git a/pyproject.toml b/pyproject.toml
index 589d9391a..1d8d15e9d 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -48,7 +48,7 @@ docs = [
 ]
 dev = [
     "mypy",
-    "ruff",
+    "ruff==0.3.4",
     "pytest",
     "pytest-timeout",
     "pytest-cov",
@@ -75,7 +75,6 @@ xrd = [
     "pynxtools-xrd",
 ]
 
-
 [project.scripts]
 read_nexus = "pynxtools.nexus.nexus:main"
 dataconverter = "pynxtools.dataconverter.convert:main_cli"
@@ -96,12 +95,17 @@ local_scheme = "node-and-date"
 
 [tool.ruff]
 include = ["pynxtools/*.py", "tests/*.py"]
-lint.select = [
+exclude = ["pynxtools/definitions"]
+line-length = 88
+indent-width = 4
+
+[tool.ruff.lint]
+select = [
     "E", # pycodestyle
     "W", # pycodestyle
     "PL", # pylint
 ]
-lint.ignore = [
+ignore = [
     "E501", # Line too long ({width} > {limit} characters)
     "E701", # Multiple statements on one line (colon)
     "E731", # Do not assign a lambda expression, use a def
@@ -116,8 +120,13 @@ lint.ignore = [
     "PLR1714", # consider-using-in
     "PLR5501", # else-if-used
 ]
-lint.fixable = ["ALL"]
-exclude = ["pynxtools/definitions/*"]
+fixable = ["ALL"]
+
+[tool.ruff.format]
+quote-style = "double"
+indent-style = "space"
+skip-magic-trailing-comma = false
+line-ending = "auto"
 
 [tool.mypy]
 strict = false
diff --git a/tests/dataconverter/test_helpers.py b/tests/dataconverter/test_helpers.py
index 5956eab26..c04fa1309 100644
--- a/tests/dataconverter/test_helpers.py
+++ b/tests/dataconverter/test_helpers.py
@@ -193,15 +193,15 @@ def fixture_filled_test_data(template, tmp_path):
 TEMPLATE["required"]["/ENTRY[my_entry]/definition/@version"] = "2.4.6"  # pylint: disable=E1126
 TEMPLATE["required"]["/ENTRY[my_entry]/program_name"] = "Testing program"  # pylint: disable=E1126
 TEMPLATE["required"]["/ENTRY[my_entry]/NXODD_name/type"] = "2nd type"  # pylint: disable=E1126
-TEMPLATE["required"][
-    "/ENTRY[my_entry]/NXODD_name/date_value"
-] = "2022-01-22T12:14:12.05018+00:00"  # pylint: disable=E1126
-TEMPLATE["optional"][
-    "/ENTRY[my_entry]/required_group/description"
-] = "An example description"
-TEMPLATE["optional"][
-    "/ENTRY[my_entry]/required_group2/description"
-] = "An example description"
+TEMPLATE["required"]["/ENTRY[my_entry]/NXODD_name/date_value"] = (
+    "2022-01-22T12:14:12.05018+00:00"  # pylint: disable=E1126
+)
+TEMPLATE["optional"]["/ENTRY[my_entry]/required_group/description"] = (
+    "An example description"
+)
+TEMPLATE["optional"]["/ENTRY[my_entry]/required_group2/description"] = (
+    "An example description"
+)
 TEMPLATE["required"][
     "/ENTRY[my_entry]/optional_parent/req_group_in_opt_group/DATA[data]"
 ] = 1
diff --git a/tests/eln_mapper/test_eln_mapper.py b/tests/eln_mapper/test_eln_mapper.py
index a93d91cac..8fe8b7214 100644
--- a/tests/eln_mapper/test_eln_mapper.py
+++ b/tests/eln_mapper/test_eln_mapper.py
@@ -1,5 +1,4 @@
-"""This test is dedicated generate_eln converter tool.
-"""
+"""This test is dedicated generate_eln converter tool."""
 
 # Copyright The NOMAD Authors.
 #
@@ -18,7 +17,6 @@
 # limitations under the License.
 #
 
-
 import os
 from typing import Dict
 
diff --git a/tests/nexus/test_nexus.py b/tests/nexus/test_nexus.py
index 656c27e29..bc8489951 100644
--- a/tests/nexus/test_nexus.py
+++ b/tests/nexus/test_nexus.py
@@ -1,6 +1,4 @@
-"""This is a code that performs several tests on nexus tool
-
-"""
+"""This is a code that performs several tests on nexus tool"""
 #
 # Copyright The NOMAD Authors.
 #
diff --git a/tests/nexus/test_version.py b/tests/nexus/test_version.py
index 3fa915ce3..10cf57655 100644
--- a/tests/nexus/test_version.py
+++ b/tests/nexus/test_version.py
@@ -1,6 +1,7 @@
 """
 Tests the version retrieval for the nexus definitions submodule
 """
+
 import re
 
 from pynxtools import get_nexus_version

From f906dbcb36bd512c99986095d8d835c260692711 Mon Sep 17 00:00:00 2001
From: mkuehbach <markus.kuehbach@physik.hu-berlin.de>
Date: Thu, 28 Mar 2024 15:19:00 +0100
Subject: [PATCH 53/58] Replaced wildcard importing with explicit naming of
 functions to import

---
 pynxtools/nexus/nexus.py | 11 +++++++++--
 1 file changed, 9 insertions(+), 2 deletions(-)

diff --git a/pynxtools/nexus/nexus.py b/pynxtools/nexus/nexus.py
index f5b2adcaf..c095524b3 100644
--- a/pynxtools/nexus/nexus.py
+++ b/pynxtools/nexus/nexus.py
@@ -4,11 +4,11 @@
 import logging
 import os
 import sys
+from functools import lru_cache
 
 import click
 import h5py
 
-# from pynxtools.definitions.dev_tools.utils.nxdl_utils import *  # pylint: disable=wildcard-import, unused-wildcard-import
 from pynxtools.definitions.dev_tools.utils.nxdl_utils import (
     get_hdf_info_parent,
     get_nxdl_child,
@@ -21,12 +21,19 @@
     get_best_child,
     get_node_name,
     add_base_classes,
-    lru_cache,
     ET,
     walk_elist,
     get_nx_class,
     try_find_default,
     other_attrs,
+    get_nexus_definitions_path,
+    NxdlAttributeNotFoundError,
+    get_node_at_nxdl_path,
+    get_enums,
+    get_inherited_nodes,
+    get_nx_classes,
+    get_nx_units,
+    get_nx_attribute_type
 )
 
 

From abf6efc4b396142cb96bfb570358ea62ec766d23 Mon Sep 17 00:00:00 2001
From: mkuehbach <markus.kuehbach@physik.hu-berlin.de>
Date: Thu, 28 Mar 2024 15:20:43 +0100
Subject: [PATCH 54/58] Ruff formatting

---
 pynxtools/nexus/nexus.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pynxtools/nexus/nexus.py b/pynxtools/nexus/nexus.py
index c095524b3..a19697214 100644
--- a/pynxtools/nexus/nexus.py
+++ b/pynxtools/nexus/nexus.py
@@ -33,7 +33,7 @@
     get_inherited_nodes,
     get_nx_classes,
     get_nx_units,
-    get_nx_attribute_type
+    get_nx_attribute_type,
 )
 
 

From 407742202f6847d8aa70a94e37fd1303d05c0b54 Mon Sep 17 00:00:00 2001
From: mkuehbach <markus.kuehbach@physik.hu-berlin.de>
Date: Thu, 28 Mar 2024 15:44:34 +0100
Subject: [PATCH 55/58] Removed nxdl_utils as replaced now by
 nexus_definitions' nxdl_utils.py

---
 pynxtools/nexus/nxdl_utils.py | 851 ----------------------------------
 1 file changed, 851 deletions(-)
 delete mode 100644 pynxtools/nexus/nxdl_utils.py

diff --git a/pynxtools/nexus/nxdl_utils.py b/pynxtools/nexus/nxdl_utils.py
deleted file mode 100644
index cc9c8a022..000000000
--- a/pynxtools/nexus/nxdl_utils.py
+++ /dev/null
@@ -1,851 +0,0 @@
-# pylint: disable=too-many-lines
-"""Parse NeXus definition files"""
-
-import os
-import xml.etree.ElementTree as ET
-from functools import lru_cache
-from glob import glob
-import textwrap
-
-
-class NxdlAttributeError(Exception):
-    """An exception for throwing an error when an Nxdl attribute is not found."""
-
-
-def get_app_defs_names():
-    """Returns all the AppDef names without their extension: .nxdl.xml"""
-    app_def_path_glob = (
-        f"{get_nexus_definitions_path()}{os.sep}applications{os.sep}*.nxdl*"
-    )
-    contrib_def_path_glob = (
-        f"{get_nexus_definitions_path()}{os.sep}"
-        f"contributed_definitions{os.sep}*.nxdl*"
-    )
-    files = sorted(glob(app_def_path_glob)) + sorted(glob(contrib_def_path_glob))
-    return [os.path.basename(file).split(".")[0] for file in files] + ["NXroot"]
-
-
-@lru_cache(maxsize=None)
-def get_xml_root(file_path):
-    """Reducing I/O time by caching technique"""
-
-    return ET.parse(file_path).getroot()
-
-
-def get_nexus_definitions_path():
-    """Check NEXUS_DEF_PATH variable.
-    If it is empty, this function is filling it"""
-    try:  # either given by sys env
-        return os.environ["NEXUS_DEF_PATH"]
-    except KeyError:  # or it should be available locally under the dir 'definitions'
-        local_dir = os.path.abspath(os.path.dirname(__file__))
-        return os.path.join(local_dir, f"..{os.sep}definitions")
-
-
-def get_hdf_root(hdf_node):
-    """Get the root HDF5 node"""
-    node = hdf_node
-    while node.name != "/":
-        node = node.parent
-    return node
-
-
-def get_hdf_parent(hdf_info):
-    """Get the parent of an hdf_node in an hdf_info"""
-    if "hdf_path" not in hdf_info:
-        return hdf_info["hdf_node"].parent
-    node = (
-        get_hdf_root(hdf_info["hdf_node"])
-        if "hdf_root" not in hdf_info
-        else hdf_info["hdf_root"]
-    )
-    for child_name in hdf_info["hdf_path"].split("/"):
-        node = node[child_name]
-    return node
-
-
-def get_parent_path(hdf_name):
-    """Get parent path"""
-    return "/".join(hdf_name.split("/")[:-1])
-
-
-def get_hdf_info_parent(hdf_info):
-    """Get the hdf_info for the parent of an hdf_node in an hdf_info"""
-    if "hdf_path" not in hdf_info:
-        return {"hdf_node": hdf_info["hdf_node"].parent}
-    node = (
-        get_hdf_root(hdf_info["hdf_node"])
-        if "hdf_root" not in hdf_info
-        else hdf_info["hdf_root"]
-    )
-    for child_name in hdf_info["hdf_path"].split("/")[1:-1]:
-        node = node[child_name]
-    return {"hdf_node": node, "hdf_path": get_parent_path(hdf_info["hdf_path"])}
-
-
-def get_nx_class(nxdl_elem):
-    """Get the nexus class for a NXDL node"""
-    if "category" in nxdl_elem.attrib.keys():
-        return None
-    try:
-        return nxdl_elem.attrib["type"]
-    except KeyError:
-        return "NX_CHAR"
-
-
-def get_nx_namefit(hdf_name, name, name_any=False):
-    """Checks if an HDF5 node name corresponds to a child of the NXDL element
-    uppercase letters in front can be replaced by arbitraty name, but
-    uppercase to lowercase match is preferred,
-    so such match is counted as a measure of the fit"""
-    if name == hdf_name:
-        return len(name) * 2
-    # count leading capitals
-    counting = 0
-    while counting < len(name) and name[counting].upper() == name[counting]:
-        counting += 1
-    if (
-        name_any
-        or counting == len(name)
-        or (counting > 0 and hdf_name.endswith(name[counting:]))
-    ):  # if potential fit
-        # count the matching chars
-        fit = 0
-        for i in range(min(counting, len(hdf_name))):
-            if hdf_name[i].upper() == name[i]:
-                fit += 1
-            else:
-                break
-        if fit == min(counting, len(hdf_name)):  # accept only full fits as better fits
-            return fit
-        return 0
-    return -1  # no fit
-
-
-def get_nx_classes():
-    """Read base classes from the NeXus definition folder.
-    Check each file in base_classes, applications, contributed_definitions.
-    If its category attribute is 'base', then it is added to the list."""
-    base_classes = sorted(
-        glob(os.path.join(get_nexus_definitions_path(), "base_classes", "*.nxdl.xml"))
-    )
-    applications = sorted(
-        glob(os.path.join(get_nexus_definitions_path(), "applications", "*.nxdl.xml"))
-    )
-    contributed = sorted(
-        glob(
-            os.path.join(
-                get_nexus_definitions_path(), "contributed_definitions", "*.nxdl.xml"
-            )
-        )
-    )
-    nx_clss = []
-    for nexus_file in base_classes + applications + contributed:
-        root = get_xml_root(nexus_file)
-        if root.attrib["category"] == "base":
-            nx_clss.append(str(nexus_file[nexus_file.rindex(os.sep) + 1 :])[:-9])
-    nx_clss = sorted(nx_clss)
-    return nx_clss
-
-
-def get_nx_units():
-    """Read unit kinds from the NeXus definition/nxdlTypes.xsd file"""
-    filepath = f"{get_nexus_definitions_path()}{os.sep}nxdlTypes.xsd"
-    root = get_xml_root(filepath)
-    units_and_type_list = []
-    for child in root:
-        for i in child.attrib.values():
-            units_and_type_list.append(i)
-    flag = False
-    for line in units_and_type_list:
-        if line == "anyUnitsAttr":
-            flag = True
-            nx_units = []
-        elif "NX" in line and flag is True:
-            nx_units.append(line)
-        elif line == "primitiveType":
-            flag = False
-        else:
-            pass
-    return nx_units
-
-
-def get_nx_attribute_type():
-    """Read attribute types from the NeXus definition/nxdlTypes.xsd file"""
-    filepath = get_nexus_definitions_path() + "/nxdlTypes.xsd"
-    root = get_xml_root(filepath)
-    units_and_type_list = []
-    for child in root:
-        for i in child.attrib.values():
-            units_and_type_list.append(i)
-    flag = False
-    for line in units_and_type_list:
-        if line == "primitiveType":
-            flag = True
-            nx_types = []
-        elif "NX" in line and flag is True:
-            nx_types.append(line)
-        elif line == "anyUnitsAttr":
-            flag = False
-        else:
-            pass
-    return nx_types
-
-
-def get_node_name(node):
-    """Node - xml node. Returns html documentation name.
-    Either as specified by the 'name' or taken from the type (nx_class).
-    Note that if only class name is available, the NX prefix is removed and
-    the string is converted to UPPER case."""
-    if "name" in node.attrib.keys():
-        name = node.attrib["name"]
-    else:
-        name = node.attrib["type"]
-        if name.startswith("NX"):
-            name = name[2:].upper()
-    return name
-
-
-def belongs_to(nxdl_elem, child, name, class_type=None, hdf_name=None):
-    """Checks if an HDF5 node name corresponds to a child of the NXDL element
-    uppercase letters in front can be replaced by arbitraty name, but
-    uppercase to lowercase match is preferred"""
-    if class_type and get_nx_class(child) != class_type:
-        return False
-    act_htmlname = get_node_name(child)
-    chk_name = hdf_name or name
-    if act_htmlname == chk_name:
-        return True
-    if not hdf_name:  # search for name fits is only allowed for hdf_nodes
-        return False
-    try:  # check if nameType allows different name
-        name_any = bool(child.attrib["nameType"] == "any")
-    except KeyError:
-        name_any = False
-    params = [act_htmlname, chk_name, name_any, nxdl_elem, child, name]
-    return belongs_to_capital(params)
-
-
-def belongs_to_capital(params):
-    """Checking continues for Upper case"""
-    (act_htmlname, chk_name, name_any, nxdl_elem, child, name) = params
-    # or starts with capital and no reserved words used
-    if (
-        (name_any or "A" <= act_htmlname[0] <= "Z")
-        and name != "doc"
-        and name != "enumeration"
-    ):
-        fit = get_nx_namefit(chk_name, act_htmlname, name_any)  # check if name fits
-        if fit < 0:
-            return False
-        for child2 in nxdl_elem:
-            if (
-                get_local_name_from_xml(child) != get_local_name_from_xml(child2)
-                or get_node_name(child2) == act_htmlname
-            ):
-                continue
-            # check if the name of another sibling fits better
-            name_any2 = (
-                "nameType" in child2.attrib.keys()
-                and child2.attrib["nameType"] == "any"
-            )
-            fit2 = get_nx_namefit(chk_name, get_node_name(child2), name_any2)
-            if fit2 > fit:
-                return False
-        # accept this fit
-        return True
-    return False
-
-
-def get_local_name_from_xml(element):
-    """Helper function to extract the element tag without the namespace."""
-    return element.tag[element.tag.rindex("}") + 1 :]
-
-
-def get_own_nxdl_child_reserved_elements(child, name, nxdl_elem):
-    """checking reserved elements, like doc, enumeration"""
-    if get_local_name_from_xml(child) == "doc" and name == "doc":
-        if nxdl_elem.get("nxdlbase"):
-            child.set("nxdlbase", nxdl_elem.get("nxdlbase"))
-            child.set("nxdlbase_class", nxdl_elem.get("nxdlbase_class"))
-            child.set("nxdlpath", nxdl_elem.get("nxdlpath") + "/doc")
-        return child
-    if get_local_name_from_xml(child) == "enumeration" and name == "enumeration":
-        if nxdl_elem.get("nxdlbase"):
-            child.set("nxdlbase", nxdl_elem.get("nxdlbase"))
-            child.set("nxdlbase_class", nxdl_elem.get("nxdlbase_class"))
-            child.set("nxdlpath", nxdl_elem.get("nxdlpath") + "/enumeration")
-        return child
-    return False
-
-
-def get_own_nxdl_child_base_types(child, class_type, nxdl_elem, name, hdf_name):
-    """checking base types of group, field,m attribute"""
-    if get_local_name_from_xml(child) == "group":
-        if (
-            class_type is None or (class_type and get_nx_class(child) == class_type)
-        ) and belongs_to(nxdl_elem, child, name, class_type, hdf_name):
-            if nxdl_elem.get("nxdlbase"):
-                child.set("nxdlbase", nxdl_elem.get("nxdlbase"))
-                child.set("nxdlbase_class", nxdl_elem.get("nxdlbase_class"))
-                child.set(
-                    "nxdlpath", nxdl_elem.get("nxdlpath") + "/" + get_node_name(child)
-                )
-            return child
-    if get_local_name_from_xml(child) == "field" and belongs_to(
-        nxdl_elem, child, name, None, hdf_name
-    ):
-        if nxdl_elem.get("nxdlbase"):
-            child.set("nxdlbase", nxdl_elem.get("nxdlbase"))
-            child.set("nxdlbase_class", nxdl_elem.get("nxdlbase_class"))
-            child.set(
-                "nxdlpath", nxdl_elem.get("nxdlpath") + "/" + get_node_name(child)
-            )
-        return child
-    if get_local_name_from_xml(child) == "attribute" and belongs_to(
-        nxdl_elem, child, name, None, hdf_name
-    ):
-        if nxdl_elem.get("nxdlbase"):
-            child.set("nxdlbase", nxdl_elem.get("nxdlbase"))
-            child.set("nxdlbase_class", nxdl_elem.get("nxdlbase_class"))
-            child.set(
-                "nxdlpath", nxdl_elem.get("nxdlpath") + "/" + get_node_name(child)
-            )
-        return child
-    return False
-
-
-def get_own_nxdl_child(
-    nxdl_elem, name, class_type=None, hdf_name=None, nexus_type=None
-):
-    """Checks if an NXDL child node fits to the specific name (either nxdl or hdf)
-    name       - nxdl name
-    class_type - nxdl type or hdf classname (for groups, it is obligatory)
-    hdf_name   - hdf name"""
-    for child in nxdl_elem:
-        if "name" in child.attrib and child.attrib["name"] == name:
-            if nxdl_elem.get("nxdlbase"):
-                child.set("nxdlbase", nxdl_elem.get("nxdlbase"))
-                child.set("nxdlbase_class", nxdl_elem.get("nxdlbase_class"))
-                child.set(
-                    "nxdlpath", nxdl_elem.get("nxdlpath") + "/" + get_node_name(child)
-                )
-            return child
-    for child in nxdl_elem:
-        if "name" in child.attrib and child.attrib["name"] == name:
-            child.set("nxdlbase", nxdl_elem.get("nxdlbase"))
-            return child
-
-    for child in nxdl_elem:
-        result = get_own_nxdl_child_reserved_elements(child, name, nxdl_elem)
-        if result is not False:
-            return result
-        if nexus_type and get_local_name_from_xml(child) != nexus_type:
-            continue
-        result = get_own_nxdl_child_base_types(
-            child, class_type, nxdl_elem, name, hdf_name
-        )
-        if result is not False:
-            return result
-    return None
-
-
-def find_definition_file(bc_name):
-    """find the nxdl file corresponding to the name.
-    Note that it first checks in contributed and goes beyond only if no contributed found"""
-    bc_filename = None
-    for nxdl_folder in ["contributed_definitions", "base_classes", "applications"]:
-        if os.path.exists(
-            f"{get_nexus_definitions_path()}{os.sep}"
-            f"{nxdl_folder}{os.sep}{bc_name}.nxdl.xml"
-        ):
-            bc_filename = (
-                f"{get_nexus_definitions_path()}{os.sep}"
-                f"{nxdl_folder}{os.sep}{bc_name}.nxdl.xml"
-            )
-            break
-    return bc_filename
-
-
-def get_nxdl_child(
-    nxdl_elem, name, class_type=None, hdf_name=None, nexus_type=None, go_base=True
-):  # pylint: disable=too-many-arguments
-    """Get the NXDL child node corresponding to a specific name
-    (e.g. of an HDF5 node,or of a documentation) note that if child is not found in application
-    definition, it also checks for the base classes"""
-    # search for possible fits for hdf_nodes : skipped
-    # only exact hits are returned when searching an nxdl child
-    own_child = get_own_nxdl_child(nxdl_elem, name, class_type, hdf_name, nexus_type)
-    if own_child is not None:
-        return own_child
-    if not go_base:
-        return None
-    bc_name = get_nx_class(nxdl_elem)  # check in the base class, app def or contributed
-    if bc_name[2] == "_":  # filter primitive types
-        return None
-    if (
-        bc_name == "group"
-    ):  # Check if it is the root element. Then send to NXroot.nxdl.xml
-        bc_name = "NXroot"
-    bc_filename = find_definition_file(bc_name)
-    if not bc_filename:
-        raise ValueError("nxdl file not found in definitions folder!")
-    bc_obj = ET.parse(bc_filename).getroot()
-    bc_obj.set("nxdlbase", bc_filename)
-    if "category" in bc_obj.attrib:
-        bc_obj.set("nxdlbase_class", bc_obj.attrib["category"])
-    bc_obj.set("nxdlpath", "")
-    return get_own_nxdl_child(bc_obj, name, class_type, hdf_name, nexus_type)
-
-
-def get_required_string(nxdl_elem):
-    """Check for being REQUIRED, RECOMMENDED, OPTIONAL, NOT IN SCHEMA"""
-    if nxdl_elem is None:
-        return "<<NOT IN SCHEMA>>"
-    is_optional = (
-        "optional" in nxdl_elem.attrib.keys() and nxdl_elem.attrib["optional"] == "true"
-    )
-    is_minoccurs = (
-        "minOccurs" in nxdl_elem.attrib.keys() and nxdl_elem.attrib["minOccurs"] == "0"
-    )
-    is_recommended = (
-        "recommended" in nxdl_elem.attrib.keys()
-        and nxdl_elem.attrib["recommended"] == "true"
-    )
-
-    if is_recommended:
-        return "<<RECOMMENDED>>"
-    if is_optional or is_minoccurs:
-        return "<<OPTIONAL>>"
-    # default optionality: in BASE CLASSES is true; in APPLICATIONS is false
-    try:
-        if nxdl_elem.get("nxdlbase_class") == "base":
-            return "<<OPTIONAL>>"
-    except TypeError:
-        return "<<REQUIRED>>"
-    return "<<REQUIRED>>"
-
-
-# below there are some functions used in get_nxdl_doc function:
-def write_doc_string(logger, doc, attr):
-    """Simple function that prints a line in the logger if doc exists"""
-    if doc:
-        logger.debug("@" + attr + " [NX_CHAR]")
-    return logger, doc, attr
-
-
-def try_find_units(logger, elem, nxdl_path, doc, attr):
-    """Try to find if units is defined inside the field in the NXDL element,
-    otherwise try to find if units is defined as a child of the NXDL element."""
-    try:  # try to find if units is defined inside the field in the NXDL element
-        unit = elem.attrib[attr]
-        if doc:
-            logger.debug(get_node_concept_path(elem) + "@" + attr + " [" + unit + "]")
-        elem = None
-        nxdl_path.append(attr)
-    except (
-        KeyError
-    ):  # otherwise try to find if units is defined as a child of the NXDL element
-        orig_elem = elem
-        elem = get_nxdl_child(elem, attr, nexus_type="attribute")
-        if elem is not None:
-            if doc:
-                logger.debug(
-                    get_node_concept_path(orig_elem)
-                    + "@"
-                    + attr
-                    + " - ["
-                    + get_nx_class(elem)
-                    + "]"
-                )
-            nxdl_path.append(elem)
-        else:  # if no units category were defined in NXDL:
-            if doc:
-                logger.debug(
-                    get_node_concept_path(orig_elem)
-                    + "@"
-                    + attr
-                    + " - REQUIRED, but undefined unit category"
-                )
-            nxdl_path.append(attr)
-    return logger, elem, nxdl_path, doc, attr
-
-
-def check_attr_name_nxdl(param):
-    """Check for ATTRIBUTENAME_units in NXDL (normal).
-    If not defined, check for ATTRIBUTENAME to see if the ATTRIBUTE
-    is in the SCHEMA, but no units category were defined."""
-    (logger, elem, nxdl_path, doc, attr, req_str) = param
-    orig_elem = elem
-    elem2 = get_nxdl_child(elem, attr, nexus_type="attribute")
-    if elem2 is not None:  # check for ATTRIBUTENAME_units in NXDL (normal)
-        elem = elem2
-        if doc:
-            logger.debug(
-                get_node_concept_path(orig_elem)
-                + "@"
-                + attr
-                + " - ["
-                + get_nx_class(elem)
-                + "]"
-            )
-        nxdl_path.append(elem)
-    else:
-        # if not defined, check for ATTRIBUTENAME to see if the ATTRIBUTE
-        # is in the SCHEMA, but no units category were defined
-        elem2 = get_nxdl_child(elem, attr[:-6], nexus_type="attribute")
-        if elem2 is not None:
-            req_str = "<<RECOMMENDED>>"
-            if doc:
-                logger.debug(
-                    get_node_concept_path(orig_elem)
-                    + "@"
-                    + attr
-                    + " - RECOMMENDED, but undefined unit category"
-                )
-            nxdl_path.append(attr)
-        else:  # otherwise: NOT IN SCHEMA
-            elem = elem2
-            if doc:
-                logger.debug(
-                    get_node_concept_path(orig_elem)
-                    + "@"
-                    + attr
-                    + " - IS NOT IN SCHEMA"
-                )
-    return logger, elem, nxdl_path, doc, attr, req_str
-
-
-def try_find_default(logger, orig_elem, elem, nxdl_path, doc, attr):  # pylint: disable=too-many-arguments
-    """Try to find if default is defined as a child of the NXDL element"""
-    if elem is not None:
-        if doc:
-            logger.debug(
-                get_node_concept_path(orig_elem)
-                + "@"
-                + attr
-                + " - ["
-                + get_nx_class(elem)
-                + "]"
-            )
-        nxdl_path.append(elem)
-    else:  # if no default category were defined in NXDL:
-        if doc:
-            logger.debug(get_node_concept_path(orig_elem) + "@" + attr + " - [NX_CHAR]")
-        nxdl_path.append(attr)
-    return logger, elem, nxdl_path, doc, attr
-
-
-def other_attrs(logger, orig_elem, elem, nxdl_path, doc, attr):  # pylint: disable=too-many-arguments
-    """Handle remaining attributes"""
-    if elem is not None:
-        if doc:
-            logger.debug(
-                get_node_concept_path(orig_elem)
-                + "@"
-                + attr
-                + " - ["
-                + get_nx_class(elem)
-                + "]"
-            )
-        nxdl_path.append(elem)
-    else:
-        if doc:
-            logger.debug(
-                get_node_concept_path(orig_elem) + "@" + attr + " - IS NOT IN SCHEMA"
-            )
-    return logger, elem, nxdl_path, doc, attr
-
-
-def get_node_concept_path(elem):
-    """get the short version of nxdlbase:nxdlpath"""
-    return str(elem.get("nxdlbase").split("/")[-1] + ":" + elem.get("nxdlpath"))
-
-
-def get_doc(node, ntype, nxhtml, nxpath):
-    """Get documentation"""
-    # URL for html documentation
-    anchor = ""
-    for n_item in nxpath:
-        anchor += n_item.lower() + "-"
-    anchor = (
-        "https://manual.nexusformat.org/classes/",
-        nxhtml + "#" + anchor.replace("_", "-") + ntype,
-    )
-    if not ntype:
-        anchor = anchor[:-1]
-    doc = ""  # RST documentation from the field 'doc'
-    doc_field = node.find("doc")
-    if doc_field is not None:
-        doc = doc_field.text
-    (index, enums) = get_enums(node)  # enums
-    if index:
-        enum_str = (
-            "\n "
-            + ("Possible values:" if len(enums.split(",")) > 1 else "Obligatory value:")
-            + "\n   "
-            + enums
-            + "\n"
-        )
-    else:
-        enum_str = ""
-    return anchor, doc + enum_str
-
-
-def print_doc(node, ntype, level, nxhtml, nxpath):
-    """Print documentation"""
-    anchor, doc = get_doc(node, ntype, nxhtml, nxpath)
-    print("  " * (level + 1) + anchor)
-    preferred_width = 80 + level * 2
-    wrapper = textwrap.TextWrapper(
-        initial_indent="  " * (level + 1),
-        width=preferred_width,
-        subsequent_indent="  " * (level + 1),
-        expand_tabs=False,
-        tabsize=0,
-    )
-    if doc is not None:
-        for par in doc.split("\n"):
-            print(wrapper.fill(par))
-
-
-def get_namespace(element):
-    """Extracts the namespace for elements in the NXDL"""
-    return element.tag[element.tag.index("{") : element.tag.rindex("}") + 1]
-
-
-def get_enums(node):
-    """Makes list of enumerations, if node contains any.
-    Returns comma separated STRING of enumeration values, if there are enum tag,
-    otherwise empty string."""
-    # collect item values from enumeration tag, if any
-    namespace = get_namespace(node)
-    enums = []
-    for enumeration in node.findall(f"{namespace}enumeration"):
-        for item in enumeration.findall(f"{namespace}item"):
-            enums.append(item.attrib["value"])
-        enums = ",".join(enums)
-        if enums != "":
-            return (True, "[" + enums + "]")
-    return (False, "")  # if there is no enumeration tag, returns empty string
-
-
-def add_base_classes(elist, nx_name=None, elem: ET.Element = None):
-    """Add the base classes corresponding to the last eleme in elist to the list. Note that if
-    elist is empty, a nxdl file with the name of nx_name or a rather room elem is used if provided"""
-    if elist and nx_name is None:
-        nx_name = get_nx_class(elist[-1])
-    # to support recursive defintions, like NXsample in NXsample, the following test is removed
-    # if elist and nx_name and f"{nx_name}.nxdl.xml" in (e.get('nxdlbase') for e in elist):
-    #     return
-    if elem is None:
-        if not nx_name:
-            return
-        nxdl_file_path = find_definition_file(nx_name)
-        if nxdl_file_path is None:
-            nxdl_file_path = f"{nx_name}.nxdl.xml"
-        elem = ET.parse(nxdl_file_path).getroot()
-        elem.set("nxdlbase", nxdl_file_path)
-    else:
-        elem.set("nxdlbase", "")
-    if "category" in elem.attrib:
-        elem.set("nxdlbase_class", elem.attrib["category"])
-    elem.set("nxdlpath", "")
-    elist.append(elem)
-    # add inherited base class
-    if "extends" in elem.attrib and elem.attrib["extends"] != "NXobject":
-        add_base_classes(elist, elem.attrib["extends"])
-    else:
-        add_base_classes(elist)
-
-
-def set_nxdlpath(child, nxdl_elem):
-    """
-    Setting up child nxdlbase, nxdlpath and nxdlbase_class from nxdl_element.
-    """
-    if nxdl_elem.get("nxdlbase"):
-        child.set("nxdlbase", nxdl_elem.get("nxdlbase"))
-        child.set("nxdlbase_class", nxdl_elem.get("nxdlbase_class"))
-        child.set("nxdlpath", nxdl_elem.get("nxdlpath") + "/" + get_node_name(child))
-    return child
-
-
-def get_direct_child(nxdl_elem, html_name):
-    """returns the child of nxdl_elem which has a name
-    corresponding to the the html documentation name html_name"""
-    for child in nxdl_elem:
-        if get_local_name_from_xml(child) in (
-            "group",
-            "field",
-            "attribute",
-        ) and html_name == get_node_name(child):
-            decorated_child = set_nxdlpath(child, nxdl_elem)
-            return decorated_child
-    return None
-
-
-def get_field_child(nxdl_elem, html_name):
-    """returns the child of nxdl_elem which has a name
-    corresponding to the html documentation name html_name"""
-    data_child = None
-    for child in nxdl_elem:
-        if get_local_name_from_xml(child) != "field":
-            continue
-        if get_node_name(child) == html_name:
-            data_child = set_nxdlpath(child, nxdl_elem)
-            break
-    return data_child
-
-
-def get_best_nxdata_child(nxdl_elem, hdf_node, hdf_name):
-    """returns the child of an NXdata nxdl_elem which has a name
-    corresponding to the hdf_name"""
-    nxdata = hdf_node.parent
-    signals = []
-    if "signal" in nxdata.attrs.keys():
-        signals.append(nxdata.attrs.get("signal"))
-    if "auxiliary_signals" in nxdata.attrs.keys():
-        for aux_signal in nxdata.attrs.get("auxiliary_signals"):
-            signals.append(aux_signal)
-    data_child = get_field_child(nxdl_elem, "DATA")
-    data_error_child = get_field_child(nxdl_elem, "FIELDNAME_errors")
-    for signal in signals:
-        if signal == hdf_name:
-            return (data_child, 100)
-        if hdf_name.endswith("_errors") and signal == hdf_name[:-7]:
-            return (data_error_child, 100)
-    axes = []
-    if "axes" in nxdata.attrs.keys():
-        for axis in nxdata.attrs.get("axes"):
-            axes.append(axis)
-    axis_child = get_field_child(nxdl_elem, "AXISNAME")
-    for axis in axes:
-        if axis == hdf_name:
-            return (axis_child, 100)
-    return (None, 0)
-
-
-def get_best_child(nxdl_elem, hdf_node, hdf_name, hdf_class_name, nexus_type):
-    """returns the child of nxdl_elem which has a name
-    corresponding to the the html documentation name html_name"""
-    bestfit = -1
-    bestchild = None
-    if (
-        "name" in nxdl_elem.attrib.keys()
-        and nxdl_elem.attrib["name"] == "NXdata"
-        and hdf_node is not None
-        and hdf_node.parent is not None
-        and hdf_node.parent.attrs.get("NX_class") == "NXdata"
-    ):
-        (fnd_child, fit) = get_best_nxdata_child(nxdl_elem, hdf_node, hdf_name)
-        if fnd_child is not None:
-            return (fnd_child, fit)
-    for child in nxdl_elem:
-        fit = -2
-        if get_local_name_from_xml(child) == nexus_type and (
-            nexus_type != "group" or get_nx_class(child) == hdf_class_name
-        ):
-            name_any = (
-                "nameType" in nxdl_elem.attrib.keys()
-                and nxdl_elem.attrib["nameType"] == "any"
-            )
-            fit = get_nx_namefit(hdf_name, get_node_name(child), name_any)
-        if fit > bestfit:
-            bestfit = fit
-            bestchild = set_nxdlpath(child, nxdl_elem)
-    return (bestchild, bestfit)
-
-
-def walk_elist(elist, html_name):
-    """Handle elist from low priority inheritance classes to higher"""
-    for ind in range(len(elist) - 1, -1, -1):
-        child = get_direct_child(elist[ind], html_name)
-        if child is None:
-            # check for names fitting to a superclas definition
-            main_child = None
-            for potential_direct_parent in elist:
-                main_child = get_direct_child(potential_direct_parent, html_name)
-                if main_child is not None:
-                    (fitting_child, _) = get_best_child(
-                        elist[ind],
-                        None,
-                        html_name,
-                        get_nx_class(main_child),
-                        get_local_name_from_xml(main_child),
-                    )
-                    if fitting_child is not None:
-                        child = fitting_child
-                    break
-        elist[ind] = child
-        if elist[ind] is None:
-            del elist[ind]
-            continue
-        # override: remove low priority inheritance classes if class_type is overriden
-        if len(elist) > ind + 1 and get_nx_class(elist[ind]) != get_nx_class(
-            elist[ind + 1]
-        ):
-            del elist[ind + 1 :]
-        # add new base class(es) if new element brings such (and not a primitive type)
-        if len(elist) == ind + 1 and get_nx_class(elist[ind])[0:3] != "NX_":
-            add_base_classes(elist)
-    return elist, html_name
-
-
-@lru_cache(maxsize=None)
-def get_inherited_nodes(
-    nxdl_path: str = None,  # pylint: disable=too-many-arguments,too-many-locals
-    nx_name: str = None,
-    elem: ET.Element = None,
-    attr=False,
-):  # pylint: disable=unused-argument
-    """Returns a list of ET.Element for the given path."""
-    # let us start with the given definition file
-    elist = []  # type: ignore[var-annotated]
-    add_base_classes(elist, nx_name, elem)
-    nxdl_elem_path = [elist[0]]
-
-    class_path = []  # type: ignore[var-annotated]
-    html_path = nxdl_path.split("/")[1:]
-    path = html_path
-    for pind in range(len(path)):
-        html_name = html_path[pind]
-        # pylint: disable=duplicate-code
-        elist, html_name = walk_elist(elist, html_name)
-        if elist:
-            class_path.append(get_nx_class(elist[0]))
-            nxdl_elem_path.append(elist[0])
-    return (class_path, nxdl_elem_path, elist)
-
-
-def get_node_at_nxdl_path(
-    nxdl_path: str = None,
-    nx_name: str = None,
-    elem: ET.Element = None,
-    exc: bool = True,
-):
-    """Returns an ET.Element for the given path.
-    This function either takes the name for the NeXus Application Definition
-    we are looking for or the root elem from a previously loaded NXDL file
-    and finds the corresponding XML element with the needed attributes."""
-    try:
-        if nxdl_path.count("/") == 1 and nxdl_path not in ("/ENTRY", "/entry"):
-            elem = None
-            nx_name = "NXroot"
-        (class_path, nxdlpath, elist) = get_inherited_nodes(nxdl_path, nx_name, elem)
-    except ValueError as value_error:
-        if exc:
-            raise NxdlAttributeError(
-                f"Attributes were not found for {nxdl_path}. "
-                "Please check this entry in the template dictionary."
-            ) from value_error
-        return None
-    if class_path and nxdlpath and elist:
-        elem = elist[0]
-    else:
-        elem = None
-        if exc:
-            raise NxdlAttributeError(
-                f"Attributes were not found for {nxdl_path}. "
-                "Please check this entry in the template dictionary."
-            )
-    return elem

From 43f5e6fa62364307b5968f8bf41dace8c2a89ad4 Mon Sep 17 00:00:00 2001
From: mkuehbach <markus.kuehbach@physik.hu-berlin.de>
Date: Thu, 28 Mar 2024 16:29:28 +0100
Subject: [PATCH 56/58] Import ET from lxml directly

---
 pynxtools/nexus/nexus.py | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/pynxtools/nexus/nexus.py b/pynxtools/nexus/nexus.py
index a19697214..fb5988419 100644
--- a/pynxtools/nexus/nexus.py
+++ b/pynxtools/nexus/nexus.py
@@ -8,7 +8,7 @@
 
 import click
 import h5py
-
+import lxml.etree as ET
 from pynxtools.definitions.dev_tools.utils.nxdl_utils import (
     get_hdf_info_parent,
     get_nxdl_child,
@@ -21,7 +21,6 @@
     get_best_child,
     get_node_name,
     add_base_classes,
-    ET,
     walk_elist,
     get_nx_class,
     try_find_default,

From 691ec5e85580d3c754a3fb7f551d9a147f7cac6e Mon Sep 17 00:00:00 2001
From: Florian Dobener <florian.dobener@physik.hu-berlin.de>
Date: Thu, 11 Apr 2024 15:44:38 +0200
Subject: [PATCH 57/58] Update definitions (#307)

* Update definitions

* Update nexus version file

* update definitions to 2ac33b2cf

* update ref_nexus log

* update nexus version file

---------

Co-authored-by: Lukas Pielsticker <50139597+lukaspie@users.noreply.github.com>
---
 pynxtools/definitions               | 2 +-
 pynxtools/nexus-version.txt         | 2 +-
 tests/data/nexus/Ref_nexus_test.log | 6 +++---
 3 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/pynxtools/definitions b/pynxtools/definitions
index da544c9be..2ac33b2cf 160000
--- a/pynxtools/definitions
+++ b/pynxtools/definitions
@@ -1 +1 @@
-Subproject commit da544c9be46a0d77d877915f59b3a13b698c0c8f
+Subproject commit 2ac33b2cfd753410cfd7e24993d24473453d835d
diff --git a/pynxtools/nexus-version.txt b/pynxtools/nexus-version.txt
index ade034694..29e560261 100644
--- a/pynxtools/nexus-version.txt
+++ b/pynxtools/nexus-version.txt
@@ -1 +1 @@
-v2020.10-1558-gda544c9b
+v2020.10-1637-g2ac33b2cf
\ No newline at end of file
diff --git a/tests/data/nexus/Ref_nexus_test.log b/tests/data/nexus/Ref_nexus_test.log
index d5da77390..c20c49feb 100644
--- a/tests/data/nexus/Ref_nexus_test.log
+++ b/tests/data/nexus/Ref_nexus_test.log
@@ -1445,9 +1445,9 @@ NXsource.nxdl.xml:/energy
 DEBUG - <<OPTIONAL>>
 DEBUG - documentation (NXsource.nxdl.xml:/energy):
 DEBUG - 
-             Source energy.
-             For storage rings, this would be the particle beam energy.
-             For X-ray tubes, this would be the excitation voltage.
+             Source energy. Typically, this would be the energy of
+             the emitted beam. For storage rings, this would be
+             the particle beam energy.
         
 DEBUG - ===== ATTRS (//entry/instrument/source/energy@units)
 DEBUG - value: MeV 

From 6960709e974a39a55d139f5c6430aaa1bdcc38e1 Mon Sep 17 00:00:00 2001
From: Florian Dobener <florian.dobener@physik.hu-berlin.de>
Date: Tue, 16 Apr 2024 11:54:22 +0200
Subject: [PATCH 58/58] Fix nexus parsing for NOMAD (#304)

* Fix nxdl_path construction for attributes

* Fix generating of duplicate attribute nodes in nxdl_path

* Ignore xml comments

* Use `ET._Element`

* Update definitions

* Update definitions file

* Update ref log

* Update definitions

* Update nexus-version.txt

* Update defs

* Update nexus version
---
 pynxtools/nexus/nexus.py | 64 ++++++++++++++++++++++++----------------
 1 file changed, 38 insertions(+), 26 deletions(-)

diff --git a/pynxtools/nexus/nexus.py b/pynxtools/nexus/nexus.py
index fb5988419..41b619520 100644
--- a/pynxtools/nexus/nexus.py
+++ b/pynxtools/nexus/nexus.py
@@ -9,30 +9,31 @@
 import click
 import h5py
 import lxml.etree as ET
+
 from pynxtools.definitions.dev_tools.utils.nxdl_utils import (
-    get_hdf_info_parent,
-    get_nxdl_child,
-    get_node_concept_path,
-    get_local_name_from_xml,
-    write_doc_string,
-    try_find_units,
+    NxdlAttributeNotFoundError,
+    add_base_classes,
     check_attr_name_nxdl,
-    get_required_string,
     get_best_child,
-    get_node_name,
-    add_base_classes,
-    walk_elist,
-    get_nx_class,
-    try_find_default,
-    other_attrs,
-    get_nexus_definitions_path,
-    NxdlAttributeNotFoundError,
-    get_node_at_nxdl_path,
     get_enums,
+    get_hdf_info_parent,
     get_inherited_nodes,
+    get_local_name_from_xml,
+    get_nexus_definitions_path,
+    get_node_at_nxdl_path,
+    get_node_concept_path,
+    get_node_name,
+    get_nx_attribute_type,
+    get_nx_class,
     get_nx_classes,
     get_nx_units,
-    get_nx_attribute_type,
+    get_nxdl_child,
+    get_required_string,
+    other_attrs,
+    try_find_default,
+    try_find_units,
+    walk_elist,
+    write_doc_string,
 )
 
 
@@ -151,6 +152,8 @@ def check_deprecation_enum_axis(variables, doc, elist, attr, hdf_node):
             if doc:
                 logger.debug("enumeration (" + get_node_concept_path(base_elem) + "):")
             for item in sdoc:
+                if isinstance(item, ET._Comment):
+                    continue
                 if get_local_name_from_xml(item) == "item":
                     if doc:
                         logger.debug("-> " + item.attrib["value"])
@@ -171,6 +174,7 @@ def get_nxdl_attr_doc(  # pylint: disable=too-many-arguments,too-many-locals
     """Get nxdl documentation for an attribute"""
     new_elem = []
     old_elem = elem
+    attr_inheritance_chain = []
     for elem_index, act_elem1 in enumerate(elist):
         act_elem = act_elem1
         # NX_class is a compulsory attribute for groups in a nexus file
@@ -187,13 +191,15 @@ def get_nxdl_attr_doc(  # pylint: disable=too-many-arguments,too-many-locals
         # units category is a compulsory attribute for any fields
         if attr == "units" and isinstance(hdf_node, h5py.Dataset):
             req_str = "<<REQUIRED>>"
-            logger, act_elem, nxdl_path, doc, attr = try_find_units(
-                logger, act_elem, nxdl_path, doc, attr
+            logger, act_elem, attr_inheritance_chain, doc, attr = try_find_units(
+                logger, act_elem, attr_inheritance_chain, doc, attr
             )
         # units for attributes can be given as ATTRIBUTENAME_units
         elif attr.endswith("_units"):
-            logger, act_elem, nxdl_path, doc, attr, req_str = check_attr_name_nxdl(
-                (logger, act_elem, nxdl_path, doc, attr, req_str)
+            logger, act_elem, attr_inheritance_chain, doc, attr, req_str = (
+                check_attr_name_nxdl(
+                    (logger, act_elem, attr_inheritance_chain, doc, attr, req_str)
+                )
             )
         # default is allowed for groups
         elif attr == "default" and not isinstance(hdf_node, h5py.Dataset):
@@ -202,16 +208,16 @@ def get_nxdl_attr_doc(  # pylint: disable=too-many-arguments,too-many-locals
             act_elem = get_nxdl_child(
                 act_elem, attr, nexus_type="attribute", go_base=False
             )
-            logger, act_elem, nxdl_path, doc, attr = try_find_default(
-                logger, act_elem1, act_elem, nxdl_path, doc, attr
+            logger, act_elem, attr_inheritance_chain, doc, attr = try_find_default(
+                logger, act_elem1, act_elem, attr_inheritance_chain, doc, attr
             )
         else:  # other attributes
             act_elem = get_nxdl_child(
                 act_elem, attr, nexus_type="attribute", go_base=False
             )
             if act_elem is not None:
-                logger, act_elem, nxdl_path, doc, attr = other_attrs(
-                    logger, act_elem1, act_elem, nxdl_path, doc, attr
+                logger, act_elem, attr_inheritance_chain, doc, attr = other_attrs(
+                    logger, act_elem1, act_elem, attr_inheritance_chain, doc, attr
                 )
         if act_elem is not None:
             new_elem.append(act_elem)
@@ -234,6 +240,10 @@ def get_nxdl_attr_doc(  # pylint: disable=too-many-arguments,too-many-locals
         if attr != "NX_class":
             logger.debug("@" + attr + " - IS NOT IN SCHEMA")
         logger.debug("")
+
+    # Add the lowest child element to the nxdl_path
+    if attr_inheritance_chain:
+        nxdl_path.append(attr_inheritance_chain[0])
     return (req_str, get_nxdl_entry(hdf_info), nxdl_path)
 
 
@@ -247,6 +257,8 @@ def get_nxdl_doc(hdf_info, logger, doc, attr=False):
         hdf_path=hdf_info["hdf_path"] if "hdf_path" in hdf_info else None,
         hdf_root=hdf_info["hdf_root"] if "hdf_root" in hdf_info else None,
     )
+    # Copy the nxdl_path, otherwise the cached object is altered
+    nxdl_path = nxdl_path.copy()
     elem = elist[0] if class_path and elist else None
     if doc:
         logger.debug("classpath: " + str(class_path))
@@ -310,7 +322,7 @@ def get_hdf_path(hdf_info):
 @lru_cache(maxsize=None)
 def get_inherited_hdf_nodes(
     nx_name: str = None,
-    elem: ET.Element = None,
+    elem: ET._Element = None,
     hdf_node=None,
     hdf_path=None,
     hdf_root=None,